Homework 5¶

In [1]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
In [2]:
column_names = ["x", "y"]
df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
In [3]:
df.head()
Out[3]:
x y
0 161.8636 185.7992
1 205.6503 111.4364
2 177.2683 134.8142
3 167.1650 189.2571
4 207.3360 183.1754
In [4]:
plt.scatter(df['x'], df['y'])
Out[4]:
<matplotlib.collections.PathCollection at 0x28fbabac050>

¶

In [5]:
def linear_regression(W, X):
    y_predicted = np.dot(X, W)
    return y_predicted

def polynomial_regression(W, X):
    w0, w1, w2 = W
    y_predicted = w2 * X[:, 2] + w1 * X[:, 1] + w0
    return y_predicted

def mean_sqaured_error(Y, y_predicted):
    loss = np.mean((Y - y_predicted)**2)
    return loss

def training(X, Y, W, model, learning_rate, criterion):
    
    #Zero The Gradients:
    gradient = np.zeros(W.shape)

    #Run The Model - Forward Pass:
    y_predicted = model(W,X)

    #Compute The Loss with Mean Squared Error:
    loss = criterion(Y, y_predicted)
    
    #Backpropagation:
    gradient = -2 * np.dot(X.T, (Y.ravel() - y_predicted))/len(Y)
    
    #Update The Weights:
    W = W - learning_rate * gradient

    return dict([('weights', W),
                ('loss', loss),
                ('predictions', y_predicted)])


def validation(X, Y, W, model, criterion):
    
    #Run The Model - Forward Pass:
    y_predicted = model(W,X)

    #Compute The Loss with Mean Squared Error:
    loss = criterion(Y, y_predicted)
    
    return dict([('weights', W),
                ('loss', loss),
                ('predictions', y_predicted)])

def data_loader(df, degree):
    column_names = ["x", "y"]
    df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
    
    scaler = MinMaxScaler()
    X = scaler.fit_transform(df["x"].values.reshape(-1,1))
    Y = scaler.fit_transform(df["y"].values.reshape(-1,1))
    
    df["x"] = X
    df["y"] = Y
    df['0'] = 1
    
    for i in range(1,degree):
        df[str(i)] = df['x'] ** i
    X = np.concatenate([df[str(j)].values.reshape(-1, 1) for j in range(0,int(degree))], axis=1)
    Y = df["y"].values.reshape(-1,1)

    # Assuming you have your features X and labels Y
    X_train, X_temp, Y_train, Y_temp = train_test_split(X, Y, test_size=0.4)

    # Split the temporary set into validation and test sets
    X_val, X_test, Y_val, Y_test = train_test_split(X_temp, Y_temp, test_size=0.6)
    
    return [X_train, Y_train, X_val, Y_val, X_test, Y_test]
In [60]:
def learning_model(df, n_features, model, nb_epoch, learning_rate, criterion):
    #The Random Initialization for The Weights:
    W = np.random.randn(n_features)
    
    trigger = 0
    best_val_loss = float('inf')
    
    data = data_loader(df,n_features)
    
    for epoch in range(nb_epoch):
        print("epoch:", epoch + 1)
        
        #Training
        train_results = training(data[0], data[1], W, model, learning_rate, criterion)

        # Validation
        val_results = validation(data[2], data[3], train_results['weights'], model, criterion)
        
        num_epochs = str(nb_epoch)
        print(f"Epoch {epoch + 1}/{nb_epoch} - "
          f"Train Loss: {train_results['loss']:.4f} - "
          f"Val Loss: {val_results['loss']:.4f}")
        
        # Check if the current model is the best so far
        if val_results['loss'] < best_val_loss + 0.001:
            best_val_loss = val_results['loss']
            # Save the model weights
            # Update the best weights
            best_weights = val_results['weights']
            np.save('best_weights.npy', best_weights)
            W = best_weights
            print("New best model saved." + f"Epoch {epoch + 1}" +f"With loss {best_val_loss}")
            
    training_results = validation(data[0], data[1], best_weights, model, criterion)
    test_results = validation(data[4], data[5], best_weights, model, criterion)
    if n_features == 3:
        test_variance = np.var([validation(X.reshape(1,3), Y, best_weights, model, criterion)['loss'] for X, Y in zip(data[4], data[5])])
    else:
        test_variance = np.var([validation(X, Y, best_weights, model, criterion)['loss'] for X, Y in zip(data[4], data[5])])
    
    print("Final Test Loss:", test_results['loss'])
    
    return dict([('Test MSE', test_results['loss']),
                 ('Test Variance', test_variance),
                ('Training SSE', 60*training_results['loss']),
                ('Weights', test_results['weights']),
                ('Test Predictions', test_results['predictions']),
                ('Test Y',  data[5]),
                ('Test X', data[4]),
                ('Train X', data[0]),
                ('Train Y' , data[1]),
                ('Train Predictions',train_results['predictions'])])
In [64]:
linear_reg_model_results = learning_model(df, 2, linear_regression, 20000, 0.5, mean_sqaured_error)
epoch: 1
Epoch 1/20000 - Train Loss: 0.4482 - Val Loss: 0.1258
New best model saved.Epoch 1With loss 0.12583807730116764
epoch: 2
Epoch 2/20000 - Train Loss: 0.1078 - Val Loss: 0.1232
New best model saved.Epoch 2With loss 0.12319007844763315
epoch: 3
Epoch 3/20000 - Train Loss: 0.1040 - Val Loss: 0.1235
New best model saved.Epoch 3With loss 0.12349642829303499
epoch: 4
Epoch 4/20000 - Train Loss: 0.1045 - Val Loss: 0.1238
New best model saved.Epoch 4With loss 0.12376188416511058
epoch: 5
Epoch 5/20000 - Train Loss: 0.1048 - Val Loss: 0.1240
New best model saved.Epoch 5With loss 0.12400900119148967
epoch: 6
Epoch 6/20000 - Train Loss: 0.1051 - Val Loss: 0.1242
New best model saved.Epoch 6With loss 0.12423601671303008
epoch: 7
Epoch 7/20000 - Train Loss: 0.1054 - Val Loss: 0.1244
New best model saved.Epoch 7With loss 0.12444469448553722
epoch: 8
Epoch 8/20000 - Train Loss: 0.1057 - Val Loss: 0.1246
New best model saved.Epoch 8With loss 0.12463641376040206
epoch: 9
Epoch 9/20000 - Train Loss: 0.1059 - Val Loss: 0.1248
New best model saved.Epoch 9With loss 0.1248124851707247
epoch: 10
Epoch 10/20000 - Train Loss: 0.1062 - Val Loss: 0.1250
New best model saved.Epoch 10With loss 0.12497412817781073
epoch: 11
Epoch 11/20000 - Train Loss: 0.1064 - Val Loss: 0.1251
New best model saved.Epoch 11With loss 0.12512247717646596
epoch: 12
Epoch 12/20000 - Train Loss: 0.1066 - Val Loss: 0.1253
New best model saved.Epoch 12With loss 0.12525858551516816
epoch: 13
Epoch 13/20000 - Train Loss: 0.1067 - Val Loss: 0.1254
New best model saved.Epoch 13With loss 0.1253834298547561
epoch: 14
Epoch 14/20000 - Train Loss: 0.1069 - Val Loss: 0.1255
New best model saved.Epoch 14With loss 0.12549791455971382
epoch: 15
Epoch 15/20000 - Train Loss: 0.1070 - Val Loss: 0.1256
New best model saved.Epoch 15With loss 0.12560287606705287
epoch: 16
Epoch 16/20000 - Train Loss: 0.1072 - Val Loss: 0.1257
New best model saved.Epoch 16With loss 0.12569908717603798
epoch: 17
Epoch 17/20000 - Train Loss: 0.1073 - Val Loss: 0.1258
New best model saved.Epoch 17With loss 0.12578726121767403
epoch: 18
Epoch 18/20000 - Train Loss: 0.1074 - Val Loss: 0.1259
New best model saved.Epoch 18With loss 0.1258680560740837
epoch: 19
Epoch 19/20000 - Train Loss: 0.1075 - Val Loss: 0.1259
New best model saved.Epoch 19With loss 0.12594207802701451
epoch: 20
Epoch 20/20000 - Train Loss: 0.1076 - Val Loss: 0.1260
New best model saved.Epoch 20With loss 0.1260098854219662
epoch: 21
Epoch 21/20000 - Train Loss: 0.1077 - Val Loss: 0.1261
New best model saved.Epoch 21With loss 0.12607199214016762
epoch: 22
Epoch 22/20000 - Train Loss: 0.1078 - Val Loss: 0.1261
New best model saved.Epoch 22With loss 0.12612887087513303
epoch: 23
Epoch 23/20000 - Train Loss: 0.1079 - Val Loss: 0.1262
New best model saved.Epoch 23With loss 0.1261809562140169
epoch: 24
Epoch 24/20000 - Train Loss: 0.1079 - Val Loss: 0.1262
New best model saved.Epoch 24With loss 0.12622864752665428
epoch: 25
Epoch 25/20000 - Train Loss: 0.1080 - Val Loss: 0.1263
New best model saved.Epoch 25With loss 0.12627231166717506
epoch: 26
Epoch 26/20000 - Train Loss: 0.1081 - Val Loss: 0.1263
New best model saved.Epoch 26With loss 0.12631228549454418
epoch: 27
Epoch 27/20000 - Train Loss: 0.1081 - Val Loss: 0.1263
New best model saved.Epoch 27With loss 0.1263488782194111
epoch: 28
Epoch 28/20000 - Train Loss: 0.1082 - Val Loss: 0.1264
New best model saved.Epoch 28With loss 0.1263823735853392
epoch: 29
Epoch 29/20000 - Train Loss: 0.1082 - Val Loss: 0.1264
New best model saved.Epoch 29With loss 0.12641303189289863
epoch: 30
Epoch 30/20000 - Train Loss: 0.1082 - Val Loss: 0.1264
New best model saved.Epoch 30With loss 0.1264410918753035
epoch: 31
Epoch 31/20000 - Train Loss: 0.1083 - Val Loss: 0.1265
New best model saved.Epoch 31With loss 0.12646677243430604
epoch: 32
Epoch 32/20000 - Train Loss: 0.1083 - Val Loss: 0.1265
New best model saved.Epoch 32With loss 0.1264902742449616
epoch: 33
Epoch 33/20000 - Train Loss: 0.1083 - Val Loss: 0.1265
New best model saved.Epoch 33With loss 0.12651178123768353
epoch: 34
Epoch 34/20000 - Train Loss: 0.1084 - Val Loss: 0.1265
New best model saved.Epoch 34With loss 0.12653146196574097
epoch: 35
Epoch 35/20000 - Train Loss: 0.1084 - Val Loss: 0.1265
New best model saved.Epoch 35With loss 0.12654947086603446
epoch: 36
Epoch 36/20000 - Train Loss: 0.1084 - Val Loss: 0.1266
New best model saved.Epoch 36With loss 0.12656594942063243
epoch: 37
Epoch 37/20000 - Train Loss: 0.1084 - Val Loss: 0.1266
New best model saved.Epoch 37With loss 0.1265810272261781
epoch: 38
Epoch 38/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 38With loss 0.12659482297789076
epoch: 39
Epoch 39/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 39With loss 0.12660744537449775
epoch: 40
Epoch 40/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 40With loss 0.1266189939500471
epoch: 41
Epoch 41/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 41With loss 0.12662955983817353
epoch: 42
Epoch 42/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 42With loss 0.12663922647402368
epoch: 43
Epoch 43/20000 - Train Loss: 0.1085 - Val Loss: 0.1266
New best model saved.Epoch 43With loss 0.12664807023869268
epoch: 44
Epoch 44/20000 - Train Loss: 0.1085 - Val Loss: 0.1267
New best model saved.Epoch 44With loss 0.12665616105068694
epoch: 45
Epoch 45/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 45With loss 0.12666356290860534
epoch: 46
Epoch 46/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 46With loss 0.1266703343889282
epoch: 47
Epoch 47/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 47With loss 0.12667652910251448
epoch: 48
Epoch 48/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 48With loss 0.1266821961131392
epoch: 49
Epoch 49/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 49With loss 0.12668738032114865
epoch: 50
Epoch 50/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 50With loss 0.12669212281507602
epoch: 51
Epoch 51/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 51With loss 0.12669646119383765
epoch: 52
Epoch 52/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 52With loss 0.1267004298619267
epoch: 53
Epoch 53/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 53With loss 0.12670406029982867
epoch: 54
Epoch 54/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 54With loss 0.12670738131170695
epoch: 55
Epoch 55/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 55With loss 0.1267104192522424
epoch: 56
Epoch 56/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 56With loss 0.12671319823435975
epoch: 57
Epoch 57/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 57With loss 0.12671574031943153
epoch: 58
Epoch 58/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 58With loss 0.12671806569142346
epoch: 59
Epoch 59/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 59With loss 0.12672019281632332
epoch: 60
Epoch 60/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 60With loss 0.12672213858808629
epoch: 61
Epoch 61/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 61With loss 0.1267239184622282
epoch: 62
Epoch 62/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 62With loss 0.12672554657810448
epoch: 63
Epoch 63/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 63With loss 0.12672703587082654
epoch: 64
Epoch 64/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 64With loss 0.12672839817368886
epoch: 65
Epoch 65/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 65With loss 0.12672964431190648
epoch: 66
Epoch 66/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 66With loss 0.12673078418839673
epoch: 67
Epoch 67/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 67With loss 0.12673182686227744
epoch: 68
Epoch 68/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 68With loss 0.12673278062069682
epoch: 69
Epoch 69/20000 - Train Loss: 0.1086 - Val Loss: 0.1267
New best model saved.Epoch 69With loss 0.12673365304456002
epoch: 70
Epoch 70/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 70With loss 0.12673445106866912
epoch: 71
Epoch 71/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 71With loss 0.12673518103674913
epoch: 72
Epoch 72/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 72With loss 0.1267358487517944
epoch: 73
Epoch 73/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 73With loss 0.1267364595221323
epoch: 74
Epoch 74/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 74With loss 0.12673701820356684
epoch: 75
Epoch 75/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 75With loss 0.1267375292379361
epoch: 76
Epoch 76/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 76With loss 0.1267379966883872
epoch: 77
Epoch 77/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 77With loss 0.12673842427164828
epoch: 78
Epoch 78/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 78With loss 0.12673881538755224
epoch: 79
Epoch 79/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 79With loss 0.12673917314604663
epoch: 80
Epoch 80/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 80With loss 0.12673950039190227
epoch: 81
Epoch 81/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 81With loss 0.12673979972731772
epoch: 82
Epoch 82/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 82With loss 0.1267400735325978
epoch: 83
Epoch 83/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 83With loss 0.12674032398506985
epoch: 84
Epoch 84/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 84With loss 0.12674055307638893
epoch: 85
Epoch 85/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 85With loss 0.1267407626283673
epoch: 86
Epoch 86/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 86With loss 0.12674095430745597
epoch: 87
Epoch 87/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 87With loss 0.12674112963799095
epoch: 88
Epoch 88/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 88With loss 0.12674129001431106
epoch: 89
Epoch 89/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 89With loss 0.12674143671184263
epoch: 90
Epoch 90/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 90With loss 0.1267415708972395
epoch: 91
Epoch 91/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 91With loss 0.12674169363765797
epoch: 92
Epoch 92/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 92With loss 0.12674180590924178
epoch: 93
Epoch 93/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 93With loss 0.12674190860488324
epoch: 94
Epoch 94/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 94With loss 0.1267420025413228
epoch: 95
Epoch 95/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 95With loss 0.12674208846564322
epoch: 96
Epoch 96/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 96With loss 0.12674216706120997
epoch: 97
Epoch 97/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 97With loss 0.1267422389531052
epoch: 98
Epoch 98/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 98With loss 0.1267423047130986
epoch: 99
Epoch 99/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 99With loss 0.12674236486419352
epoch: 100
Epoch 100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 100With loss 0.12674241988478657
epoch: 101
Epoch 101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 101With loss 0.12674247021247165
epoch: 102
Epoch 102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 102With loss 0.12674251624751998
epoch: 103
Epoch 103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 103With loss 0.12674255835606313
epoch: 104
Epoch 104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 104With loss 0.12674259687300482
epoch: 105
Epoch 105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 105With loss 0.12674263210468434
epoch: 106
Epoch 106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 106With loss 0.12674266433131265
epoch: 107
Epoch 107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 107With loss 0.12674269380920092
epoch: 108
Epoch 108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 108With loss 0.1267427207727989
epoch: 109
Epoch 109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 109With loss 0.12674274543655964
epoch: 110
Epoch 110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 110With loss 0.12674276799664472
epoch: 111
Epoch 111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 111With loss 0.12674278863248473
epoch: 112
Epoch 112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 112With loss 0.1267428075082059
epoch: 113
Epoch 113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 113With loss 0.12674282477393572
epoch: 114
Epoch 114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 114With loss 0.1267428405669968
epoch: 115
Epoch 115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 115With loss 0.12674285501299903
epoch: 116
Epoch 116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 116With loss 0.1267428682268385
epoch: 117
Epoch 117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 117With loss 0.1267428803136116
epoch: 118
Epoch 118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 118With loss 0.12674289136945044
epoch: 119
Epoch 119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 119With loss 0.12674290148228776
epoch: 120
Epoch 120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 120With loss 0.12674291073255622
epoch: 121
Epoch 121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 121With loss 0.12674291919382796
epoch: 122
Epoch 122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 122With loss 0.12674292693339995
epoch: 123
Epoch 123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 123With loss 0.1267429340128291
epoch: 124
Epoch 124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 124With loss 0.12674294048842186
epoch: 125
Epoch 125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 125With loss 0.12674294641168207
epoch: 126
Epoch 126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 126With loss 0.12674295182972067
epoch: 127
Epoch 127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 127With loss 0.1267429567856302
epoch: 128
Epoch 128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 128With loss 0.1267429613188277
epoch: 129
Epoch 129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 129With loss 0.12674296546536817
epoch: 130
Epoch 130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 130With loss 0.12674296925823134
epoch: 131
Epoch 131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 131With loss 0.1267429727275839
epoch: 132
Epoch 132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 132With loss 0.12674297590101954
epoch: 133
Epoch 133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 133With loss 0.12674297880377836
epoch: 134
Epoch 134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 134With loss 0.1267429814589476
epoch: 135
Epoch 135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 135With loss 0.12674298388764527
epoch: 136
Epoch 136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 136With loss 0.12674298610918824
epoch: 137
Epoch 137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 137With loss 0.12674298814124557
epoch: 138
Epoch 138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 138With loss 0.12674298999997943
epoch: 139
Epoch 139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 139With loss 0.12674299170017334
epoch: 140
Epoch 140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 140With loss 0.12674299325534988
epoch: 141
Epoch 141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 141With loss 0.12674299467787828
epoch: 142
Epoch 142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 142With loss 0.12674299597907268
epoch: 143
Epoch 143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 143With loss 0.12674299716928222
epoch: 144
Epoch 144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 144With loss 0.1267429982579733
epoch: 145
Epoch 145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 145With loss 0.12674299925380492
epoch: 146
Epoch 146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 146With loss 0.12674300016469747
epoch: 147
Epoch 147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 147With loss 0.1267430009978958
epoch: 148
Epoch 148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 148With loss 0.12674300176002676
epoch: 149
Epoch 149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 149With loss 0.12674300245715212
epoch: 150
Epoch 150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 150With loss 0.1267430030948164
epoch: 151
Epoch 151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 151With loss 0.12674300367809135
epoch: 152
Epoch 152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 152With loss 0.1267430042116161
epoch: 153
Epoch 153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 153With loss 0.12674300469963404
epoch: 154
Epoch 154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 154With loss 0.1267430051460267
epoch: 155
Epoch 155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 155With loss 0.12674300555434448
epoch: 156
Epoch 156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 156With loss 0.12674300592783494
epoch: 157
Epoch 157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 157With loss 0.12674300626946866
epoch: 158
Epoch 158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 158With loss 0.12674300658196286
epoch: 159
Epoch 159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 159With loss 0.126743006867803
epoch: 160
Epoch 160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 160With loss 0.1267430071292625
epoch: 161
Epoch 161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 161With loss 0.12674300736842092
epoch: 162
Epoch 162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 162With loss 0.1267430075871804
epoch: 163
Epoch 163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 163With loss 0.1267430077872809
epoch: 164
Epoch 164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 164With loss 0.12674300797031388
epoch: 165
Epoch 165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 165With loss 0.12674300813773515
epoch: 166
Epoch 166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 166With loss 0.12674300829087626
epoch: 167
Epoch 167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 167With loss 0.12674300843095526
epoch: 168
Epoch 168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 168With loss 0.1267430085590863
epoch: 169
Epoch 169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 169With loss 0.1267430086762884
epoch: 170
Epoch 170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 170With loss 0.12674300878349387
epoch: 171
Epoch 171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 171With loss 0.1267430088815552
epoch: 172
Epoch 172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 172With loss 0.12674300897125249
epoch: 173
Epoch 173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 173With loss 0.12674300905329905
epoch: 174
Epoch 174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 174With loss 0.12674300912834752
epoch: 175
Epoch 175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 175With loss 0.12674300919699472
epoch: 176
Epoch 176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 176With loss 0.1267430092597867
epoch: 177
Epoch 177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 177With loss 0.12674300931722288
epoch: 178
Epoch 178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 178With loss 0.12674300936976002
epoch: 179
Epoch 179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 179With loss 0.12674300941781605
epoch: 180
Epoch 180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 180With loss 0.12674300946177314
epoch: 181
Epoch 181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 181With loss 0.12674300950198097
epoch: 182
Epoch 182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 182With loss 0.12674300953875925
epoch: 183
Epoch 183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 183With loss 0.12674300957240053
epoch: 184
Epoch 184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 184With loss 0.12674300960317242
epoch: 185
Epoch 185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 185With loss 0.12674300963131963
epoch: 186
Epoch 186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 186With loss 0.12674300965706603
epoch: 187
Epoch 187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 187With loss 0.1267430096806164
epoch: 188
Epoch 188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 188With loss 0.12674300970215802
epoch: 189
Epoch 189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 189With loss 0.12674300972186228
epoch: 190
Epoch 190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 190With loss 0.1267430097398859
epoch: 191
Epoch 191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 191With loss 0.12674300975637215
epoch: 192
Epoch 192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 192With loss 0.12674300977145225
epoch: 193
Epoch 193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 193With loss 0.1267430097852461
epoch: 194
Epoch 194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 194With loss 0.1267430097978634
epoch: 195
Epoch 195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 195With loss 0.1267430098094045
epoch: 196
Epoch 196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 196With loss 0.12674300981996123
epoch: 197
Epoch 197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 197With loss 0.1267430098296175
epoch: 198
Epoch 198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 198With loss 0.12674300983845016
epoch: 199
Epoch 199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 199With loss 0.12674300984652942
epoch: 200
Epoch 200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 200With loss 0.1267430098539196
epoch: 201
Epoch 201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 201With loss 0.1267430098606794
epoch: 202
Epoch 202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 202With loss 0.12674300986686265
epoch: 203
Epoch 203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 203With loss 0.1267430098725185
epoch: 204
Epoch 204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 204With loss 0.12674300987769194
epoch: 205
Epoch 205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 205With loss 0.12674300988242407
epoch: 206
Epoch 206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 206With loss 0.1267430098867526
epoch: 207
Epoch 207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 207With loss 0.12674300989071197
epoch: 208
Epoch 208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 208With loss 0.12674300989433357
epoch: 209
Epoch 209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 209With loss 0.1267430098976463
epoch: 210
Epoch 210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 210With loss 0.12674300990067647
epoch: 211
Epoch 211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 211With loss 0.12674300990344817
epoch: 212
Epoch 212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 212With loss 0.12674300990598347
epoch: 213
Epoch 213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 213With loss 0.12674300990830253
epoch: 214
Epoch 214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 214With loss 0.12674300991042375
epoch: 215
Epoch 215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 215With loss 0.1267430099123641
epoch: 216
Epoch 216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 216With loss 0.1267430099141389
epoch: 217
Epoch 217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 217With loss 0.12674300991576232
epoch: 218
Epoch 218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 218With loss 0.12674300991724727
epoch: 219
Epoch 219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 219With loss 0.12674300991860557
epoch: 220
Epoch 220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 220With loss 0.12674300991984805
epoch: 221
Epoch 221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 221With loss 0.1267430099209845
epoch: 222
Epoch 222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 222With loss 0.12674300992202406
epoch: 223
Epoch 223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 223With loss 0.12674300992297494
epoch: 224
Epoch 224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 224With loss 0.12674300992384469
epoch: 225
Epoch 225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 225With loss 0.12674300992464027
epoch: 226
Epoch 226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 226With loss 0.126743009925368
epoch: 227
Epoch 227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 227With loss 0.12674300992603366
epoch: 228
Epoch 228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 228With loss 0.12674300992664253
epoch: 229
Epoch 229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 229With loss 0.12674300992719945
epoch: 230
Epoch 230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 230With loss 0.12674300992770887
epoch: 231
Epoch 231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 231With loss 0.1267430099281749
epoch: 232
Epoch 232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 232With loss 0.12674300992860113
epoch: 233
Epoch 233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 233With loss 0.126743009928991
epoch: 234
Epoch 234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 234With loss 0.12674300992934762
epoch: 235
Epoch 235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 235With loss 0.12674300992967386
epoch: 236
Epoch 236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 236With loss 0.12674300992997223
epoch: 237
Epoch 237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 237With loss 0.12674300993024518
epoch: 238
Epoch 238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 238With loss 0.12674300993049484
epoch: 239
Epoch 239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 239With loss 0.1267430099307232
epoch: 240
Epoch 240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 240With loss 0.12674300993093207
epoch: 241
Epoch 241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 241With loss 0.12674300993112314
epoch: 242
Epoch 242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 242With loss 0.12674300993129792
epoch: 243
Epoch 243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 243With loss 0.1267430099314578
epoch: 244
Epoch 244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 244With loss 0.12674300993160398
epoch: 245
Epoch 245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 245With loss 0.12674300993173776
epoch: 246
Epoch 246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 246With loss 0.1267430099318601
epoch: 247
Epoch 247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 247With loss 0.12674300993197202
epoch: 248
Epoch 248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 248With loss 0.12674300993207438
epoch: 249
Epoch 249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 249With loss 0.12674300993216803
epoch: 250
Epoch 250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 250With loss 0.12674300993225368
epoch: 251
Epoch 251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 251With loss 0.126743009932332
epoch: 252
Epoch 252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 252With loss 0.12674300993240367
epoch: 253
Epoch 253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 253With loss 0.1267430099324692
epoch: 254
Epoch 254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 254With loss 0.12674300993252918
epoch: 255
Epoch 255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 255With loss 0.12674300993258403
epoch: 256
Epoch 256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 256With loss 0.12674300993263415
epoch: 257
Epoch 257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 257With loss 0.12674300993268006
epoch: 258
Epoch 258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 258With loss 0.12674300993272203
epoch: 259
Epoch 259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 259With loss 0.12674300993276044
epoch: 260
Epoch 260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 260With loss 0.12674300993279553
epoch: 261
Epoch 261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 261With loss 0.12674300993282767
epoch: 262
Epoch 262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 262With loss 0.12674300993285703
epoch: 263
Epoch 263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 263With loss 0.12674300993288393
epoch: 264
Epoch 264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 264With loss 0.1267430099329085
epoch: 265
Epoch 265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 265With loss 0.126743009932931
epoch: 266
Epoch 266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 266With loss 0.12674300993295157
epoch: 267
Epoch 267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 267With loss 0.12674300993297039
epoch: 268
Epoch 268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 268With loss 0.1267430099329876
epoch: 269
Epoch 269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 269With loss 0.12674300993300333
epoch: 270
Epoch 270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 270With loss 0.12674300993301774
epoch: 271
Epoch 271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 271With loss 0.1267430099330309
epoch: 272
Epoch 272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 272With loss 0.12674300993304294
epoch: 273
Epoch 273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 273With loss 0.12674300993305396
epoch: 274
Epoch 274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 274With loss 0.12674300993306406
epoch: 275
Epoch 275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 275With loss 0.12674300993307328
epoch: 276
Epoch 276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 276With loss 0.12674300993308169
epoch: 277
Epoch 277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 277With loss 0.12674300993308943
epoch: 278
Epoch 278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 278With loss 0.12674300993309648
epoch: 279
Epoch 279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 279With loss 0.12674300993310295
epoch: 280
Epoch 280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 280With loss 0.12674300993310883
epoch: 281
Epoch 281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 281With loss 0.12674300993311421
epoch: 282
Epoch 282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 282With loss 0.12674300993311916
epoch: 283
Epoch 283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 283With loss 0.12674300993312368
epoch: 284
Epoch 284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 284With loss 0.12674300993312784
epoch: 285
Epoch 285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 285With loss 0.12674300993313162
epoch: 286
Epoch 286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 286With loss 0.1267430099331351
epoch: 287
Epoch 287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 287With loss 0.12674300993313825
epoch: 288
Epoch 288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 288With loss 0.12674300993314114
epoch: 289
Epoch 289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 289With loss 0.12674300993314377
epoch: 290
Epoch 290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 290With loss 0.1267430099331462
epoch: 291
Epoch 291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 291With loss 0.1267430099331484
epoch: 292
Epoch 292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 292With loss 0.1267430099331504
epoch: 293
Epoch 293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 293With loss 0.12674300993315227
epoch: 294
Epoch 294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 294With loss 0.126743009933154
epoch: 295
Epoch 295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 295With loss 0.12674300993315551
epoch: 296
Epoch 296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 296With loss 0.12674300993315696
epoch: 297
Epoch 297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 297With loss 0.12674300993315823
epoch: 298
Epoch 298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 298With loss 0.12674300993315943
epoch: 299
Epoch 299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 299With loss 0.1267430099331605
epoch: 300
Epoch 300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 300With loss 0.12674300993316148
epoch: 301
Epoch 301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 301With loss 0.1267430099331624
epoch: 302
Epoch 302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 302With loss 0.12674300993316326
epoch: 303
Epoch 303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 303With loss 0.126743009933164
epoch: 304
Epoch 304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 304With loss 0.1267430099331647
epoch: 305
Epoch 305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 305With loss 0.12674300993316534
epoch: 306
Epoch 306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 306With loss 0.1267430099331659
epoch: 307
Epoch 307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 307With loss 0.12674300993316642
epoch: 308
Epoch 308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 308With loss 0.12674300993316692
epoch: 309
Epoch 309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 309With loss 0.1267430099331674
epoch: 310
Epoch 310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 310With loss 0.12674300993316778
epoch: 311
Epoch 311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 311With loss 0.12674300993316814
epoch: 312
Epoch 312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 312With loss 0.12674300993316848
epoch: 313
Epoch 313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 313With loss 0.1267430099331688
epoch: 314
Epoch 314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 314With loss 0.12674300993316912
epoch: 315
Epoch 315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 315With loss 0.12674300993316936
epoch: 316
Epoch 316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 316With loss 0.12674300993316956
epoch: 317
Epoch 317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 317With loss 0.1267430099331698
epoch: 318
Epoch 318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 318With loss 0.12674300993317
epoch: 319
Epoch 319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 319With loss 0.12674300993317017
epoch: 320
Epoch 320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 320With loss 0.12674300993317036
epoch: 321
Epoch 321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 321With loss 0.1267430099331705
epoch: 322
Epoch 322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 322With loss 0.12674300993317064
epoch: 323
Epoch 323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 323With loss 0.12674300993317078
epoch: 324
Epoch 324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 324With loss 0.1267430099331709
epoch: 325
Epoch 325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 325With loss 0.126743009933171
epoch: 326
Epoch 326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 326With loss 0.1267430099331711
epoch: 327
Epoch 327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 327With loss 0.1267430099331712
epoch: 328
Epoch 328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 328With loss 0.12674300993317125
epoch: 329
Epoch 329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 329With loss 0.12674300993317134
epoch: 330
Epoch 330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 330With loss 0.1267430099331714
epoch: 331
Epoch 331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 331With loss 0.1267430099331715
epoch: 332
Epoch 332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 332With loss 0.12674300993317153
epoch: 333
Epoch 333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 333With loss 0.12674300993317156
epoch: 334
Epoch 334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 334With loss 0.12674300993317164
epoch: 335
Epoch 335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 335With loss 0.12674300993317167
epoch: 336
Epoch 336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 336With loss 0.12674300993317172
epoch: 337
Epoch 337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 337With loss 0.12674300993317175
epoch: 338
Epoch 338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 338With loss 0.12674300993317178
epoch: 339
Epoch 339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 339With loss 0.12674300993317184
epoch: 340
Epoch 340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 340With loss 0.12674300993317184
epoch: 341
Epoch 341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 341With loss 0.1267430099331719
epoch: 342
Epoch 342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 342With loss 0.1267430099331719
epoch: 343
Epoch 343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 343With loss 0.1267430099331719
epoch: 344
Epoch 344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 344With loss 0.12674300993317195
epoch: 345
Epoch 345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 345With loss 0.12674300993317195
epoch: 346
Epoch 346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 346With loss 0.12674300993317195
epoch: 347
Epoch 347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 347With loss 0.12674300993317197
epoch: 348
Epoch 348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 348With loss 0.126743009933172
epoch: 349
Epoch 349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 349With loss 0.126743009933172
epoch: 350
Epoch 350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 350With loss 0.126743009933172
epoch: 351
Epoch 351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 351With loss 0.12674300993317203
epoch: 352
Epoch 352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 352With loss 0.12674300993317203
epoch: 353
Epoch 353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 353With loss 0.12674300993317206
epoch: 354
Epoch 354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 354With loss 0.12674300993317206
epoch: 355
Epoch 355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 355With loss 0.12674300993317206
epoch: 356
Epoch 356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 356With loss 0.12674300993317208
epoch: 357
Epoch 357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 357With loss 0.1267430099331721
epoch: 358
Epoch 358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 358With loss 0.1267430099331721
epoch: 359
Epoch 359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 359With loss 0.1267430099331721
epoch: 360
Epoch 360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 360With loss 0.1267430099331721
epoch: 361
Epoch 361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 361With loss 0.1267430099331721
epoch: 362
Epoch 362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 362With loss 0.1267430099331721
epoch: 363
Epoch 363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 363With loss 0.1267430099331721
epoch: 364
Epoch 364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 364With loss 0.1267430099331721
epoch: 365
Epoch 365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 365With loss 0.1267430099331721
epoch: 366
Epoch 366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 366With loss 0.1267430099331721
epoch: 367
Epoch 367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 367With loss 0.1267430099331721
epoch: 368
Epoch 368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 368With loss 0.1267430099331721
epoch: 369
Epoch 369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 369With loss 0.1267430099331721
epoch: 370
Epoch 370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 370With loss 0.1267430099331721
epoch: 371
Epoch 371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 371With loss 0.1267430099331721
epoch: 372
Epoch 372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 372With loss 0.1267430099331721
epoch: 373
Epoch 373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 373With loss 0.1267430099331721
epoch: 374
Epoch 374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 374With loss 0.1267430099331721
epoch: 375
Epoch 375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 375With loss 0.1267430099331721
epoch: 376
Epoch 376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 376With loss 0.1267430099331721
epoch: 377
Epoch 377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 377With loss 0.1267430099331721
epoch: 378
Epoch 378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 378With loss 0.1267430099331721
epoch: 379
Epoch 379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 379With loss 0.1267430099331721
epoch: 380
Epoch 380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 380With loss 0.1267430099331721
epoch: 381
Epoch 381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 381With loss 0.1267430099331721
epoch: 382
Epoch 382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 382With loss 0.1267430099331721
epoch: 383
Epoch 383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 383With loss 0.1267430099331721
epoch: 384
Epoch 384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 384With loss 0.1267430099331721
epoch: 385
Epoch 385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 385With loss 0.1267430099331721
epoch: 386
Epoch 386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 386With loss 0.1267430099331721
epoch: 387
Epoch 387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 387With loss 0.1267430099331721
epoch: 388
Epoch 388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 388With loss 0.1267430099331721
epoch: 389
Epoch 389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 389With loss 0.1267430099331721
epoch: 390
Epoch 390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 390With loss 0.1267430099331721
epoch: 391
Epoch 391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 391With loss 0.1267430099331721
epoch: 392
Epoch 392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 392With loss 0.1267430099331721
epoch: 393
Epoch 393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 393With loss 0.1267430099331721
epoch: 394
Epoch 394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 394With loss 0.1267430099331721
epoch: 395
Epoch 395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 395With loss 0.1267430099331721
epoch: 396
Epoch 396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 396With loss 0.1267430099331721
epoch: 397
Epoch 397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 397With loss 0.1267430099331721
epoch: 398
Epoch 398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 398With loss 0.1267430099331721
epoch: 399
Epoch 399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 399With loss 0.1267430099331721
epoch: 400
Epoch 400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 400With loss 0.1267430099331721
epoch: 401
Epoch 401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 401With loss 0.1267430099331721
epoch: 402
Epoch 402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 402With loss 0.1267430099331721
epoch: 403
Epoch 403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 403With loss 0.1267430099331721
epoch: 404
Epoch 404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 404With loss 0.1267430099331721
epoch: 405
Epoch 405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 405With loss 0.1267430099331721
epoch: 406
Epoch 406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 406With loss 0.1267430099331721
epoch: 407
Epoch 407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 407With loss 0.1267430099331721
epoch: 408
Epoch 408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 408With loss 0.1267430099331721
epoch: 409
Epoch 409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 409With loss 0.1267430099331721
epoch: 410
Epoch 410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 410With loss 0.1267430099331721
epoch: 411
Epoch 411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 411With loss 0.1267430099331721
epoch: 412
Epoch 412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 412With loss 0.1267430099331721
epoch: 413
Epoch 413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 413With loss 0.1267430099331721
epoch: 414
Epoch 414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 414With loss 0.1267430099331721
epoch: 415
Epoch 415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 415With loss 0.1267430099331721
epoch: 416
Epoch 416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 416With loss 0.1267430099331721
epoch: 417
Epoch 417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 417With loss 0.1267430099331721
epoch: 418
Epoch 418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 418With loss 0.1267430099331721
epoch: 419
Epoch 419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 419With loss 0.1267430099331721
epoch: 420
Epoch 420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 420With loss 0.1267430099331721
epoch: 421
Epoch 421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 421With loss 0.1267430099331721
epoch: 422
Epoch 422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 422With loss 0.1267430099331721
epoch: 423
Epoch 423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 423With loss 0.1267430099331721
epoch: 424
Epoch 424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 424With loss 0.1267430099331721
epoch: 425
Epoch 425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 425With loss 0.1267430099331721
epoch: 426
Epoch 426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 426With loss 0.1267430099331721
epoch: 427
Epoch 427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 427With loss 0.1267430099331721
epoch: 428
Epoch 428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 428With loss 0.1267430099331721
epoch: 429
Epoch 429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 429With loss 0.1267430099331721
epoch: 430
Epoch 430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 430With loss 0.1267430099331721
epoch: 431
Epoch 431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 431With loss 0.1267430099331721
epoch: 432
Epoch 432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 432With loss 0.1267430099331721
epoch: 433
Epoch 433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 433With loss 0.1267430099331721
epoch: 434
Epoch 434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 434With loss 0.1267430099331721
epoch: 435
Epoch 435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 435With loss 0.1267430099331721
epoch: 436
Epoch 436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 436With loss 0.1267430099331721
epoch: 437
Epoch 437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 437With loss 0.1267430099331721
epoch: 438
Epoch 438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 438With loss 0.1267430099331721
epoch: 439
Epoch 439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 439With loss 0.1267430099331721
epoch: 440
Epoch 440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 440With loss 0.1267430099331721
epoch: 441
Epoch 441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 441With loss 0.1267430099331721
epoch: 442
Epoch 442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 442With loss 0.1267430099331721
epoch: 443
Epoch 443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 443With loss 0.1267430099331721
epoch: 444
Epoch 444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 444With loss 0.1267430099331721
epoch: 445
Epoch 445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 445With loss 0.1267430099331721
epoch: 446
Epoch 446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 446With loss 0.1267430099331721
epoch: 447
Epoch 447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 447With loss 0.1267430099331721
epoch: 448
Epoch 448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 448With loss 0.1267430099331721
epoch: 449
Epoch 449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 449With loss 0.1267430099331721
epoch: 450
Epoch 450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 450With loss 0.1267430099331721
epoch: 451
Epoch 451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 451With loss 0.1267430099331721
epoch: 452
Epoch 452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 452With loss 0.1267430099331721
epoch: 453
Epoch 453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 453With loss 0.1267430099331721
epoch: 454
Epoch 454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 454With loss 0.1267430099331721
epoch: 455
Epoch 455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 455With loss 0.1267430099331721
epoch: 456
Epoch 456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 456With loss 0.1267430099331721
epoch: 457
Epoch 457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 457With loss 0.1267430099331721
epoch: 458
Epoch 458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 458With loss 0.1267430099331721
epoch: 459
Epoch 459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 459With loss 0.1267430099331721
epoch: 460
Epoch 460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 460With loss 0.1267430099331721
epoch: 461
Epoch 461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 461With loss 0.1267430099331721
epoch: 462
Epoch 462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 462With loss 0.1267430099331721
epoch: 463
Epoch 463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 463With loss 0.1267430099331721
epoch: 464
Epoch 464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 464With loss 0.1267430099331721
epoch: 465
Epoch 465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 465With loss 0.1267430099331721
epoch: 466
Epoch 466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 466With loss 0.1267430099331721
epoch: 467
Epoch 467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 467With loss 0.1267430099331721
epoch: 468
Epoch 468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 468With loss 0.1267430099331721
epoch: 469
Epoch 469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 469With loss 0.1267430099331721
epoch: 470
Epoch 470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 470With loss 0.1267430099331721
epoch: 471
Epoch 471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 471With loss 0.1267430099331721
epoch: 472
Epoch 472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 472With loss 0.1267430099331721
epoch: 473
Epoch 473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 473With loss 0.1267430099331721
epoch: 474
Epoch 474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 474With loss 0.1267430099331721
epoch: 475
Epoch 475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 475With loss 0.1267430099331721
epoch: 476
Epoch 476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 476With loss 0.1267430099331721
epoch: 477
Epoch 477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 477With loss 0.1267430099331721
epoch: 478
Epoch 478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 478With loss 0.1267430099331721
epoch: 479
Epoch 479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 479With loss 0.1267430099331721
epoch: 480
Epoch 480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 480With loss 0.1267430099331721
epoch: 481
Epoch 481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 481With loss 0.1267430099331721
epoch: 482
Epoch 482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 482With loss 0.1267430099331721
epoch: 483
Epoch 483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 483With loss 0.1267430099331721
epoch: 484
Epoch 484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 484With loss 0.1267430099331721
epoch: 485
Epoch 485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 485With loss 0.1267430099331721
epoch: 486
Epoch 486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 486With loss 0.1267430099331721
epoch: 487
Epoch 487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 487With loss 0.1267430099331721
epoch: 488
Epoch 488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 488With loss 0.1267430099331721
epoch: 489
Epoch 489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 489With loss 0.1267430099331721
epoch: 490
Epoch 490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 490With loss 0.1267430099331721
epoch: 491
Epoch 491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 491With loss 0.1267430099331721
epoch: 492
Epoch 492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 492With loss 0.1267430099331721
epoch: 493
Epoch 493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 493With loss 0.1267430099331721
epoch: 494
Epoch 494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 494With loss 0.1267430099331721
epoch: 495
Epoch 495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 495With loss 0.1267430099331721
epoch: 496
Epoch 496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 496With loss 0.1267430099331721
epoch: 497
Epoch 497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 497With loss 0.1267430099331721
epoch: 498
Epoch 498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 498With loss 0.1267430099331721
epoch: 499
Epoch 499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 499With loss 0.1267430099331721
epoch: 500
Epoch 500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 500With loss 0.1267430099331721
epoch: 501
Epoch 501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 501With loss 0.1267430099331721
epoch: 502
Epoch 502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 502With loss 0.1267430099331721
epoch: 503
Epoch 503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 503With loss 0.1267430099331721
epoch: 504
Epoch 504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 504With loss 0.1267430099331721
epoch: 505
Epoch 505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 505With loss 0.1267430099331721
epoch: 506
Epoch 506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 506With loss 0.1267430099331721
epoch: 507
Epoch 507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 507With loss 0.1267430099331721
epoch: 508
Epoch 508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 508With loss 0.1267430099331721
epoch: 509
Epoch 509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 509With loss 0.1267430099331721
epoch: 510
Epoch 510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 510With loss 0.1267430099331721
epoch: 511
Epoch 511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 511With loss 0.1267430099331721
epoch: 512
Epoch 512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 512With loss 0.1267430099331721
epoch: 513
Epoch 513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 513With loss 0.1267430099331721
epoch: 514
Epoch 514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 514With loss 0.1267430099331721
epoch: 515
Epoch 515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 515With loss 0.1267430099331721
epoch: 516
Epoch 516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 516With loss 0.1267430099331721
epoch: 517
Epoch 517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 517With loss 0.1267430099331721
epoch: 518
Epoch 518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 518With loss 0.1267430099331721
epoch: 519
Epoch 519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 519With loss 0.1267430099331721
epoch: 520
Epoch 520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 520With loss 0.1267430099331721
epoch: 521
Epoch 521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 521With loss 0.1267430099331721
epoch: 522
Epoch 522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 522With loss 0.1267430099331721
epoch: 523
Epoch 523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 523With loss 0.1267430099331721
epoch: 524
Epoch 524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 524With loss 0.1267430099331721
epoch: 525
Epoch 525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 525With loss 0.1267430099331721
epoch: 526
Epoch 526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 526With loss 0.1267430099331721
epoch: 527
Epoch 527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 527With loss 0.1267430099331721
epoch: 528
Epoch 528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 528With loss 0.1267430099331721
epoch: 529
Epoch 529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 529With loss 0.1267430099331721
epoch: 530
Epoch 530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 530With loss 0.1267430099331721
epoch: 531
Epoch 531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 531With loss 0.1267430099331721
epoch: 532
Epoch 532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 532With loss 0.1267430099331721
epoch: 533
Epoch 533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 533With loss 0.1267430099331721
epoch: 534
Epoch 534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 534With loss 0.1267430099331721
epoch: 535
Epoch 535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 535With loss 0.1267430099331721
epoch: 536
Epoch 536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 536With loss 0.1267430099331721
epoch: 537
Epoch 537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 537With loss 0.1267430099331721
epoch: 538
Epoch 538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 538With loss 0.1267430099331721
epoch: 539
Epoch 539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 539With loss 0.1267430099331721
epoch: 540
Epoch 540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 540With loss 0.1267430099331721
epoch: 541
Epoch 541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 541With loss 0.1267430099331721
epoch: 542
Epoch 542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 542With loss 0.1267430099331721
epoch: 543
Epoch 543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 543With loss 0.1267430099331721
epoch: 544
Epoch 544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 544With loss 0.1267430099331721
epoch: 545
Epoch 545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 545With loss 0.1267430099331721
epoch: 546
Epoch 546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 546With loss 0.1267430099331721
epoch: 547
Epoch 547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 547With loss 0.1267430099331721
epoch: 548
Epoch 548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 548With loss 0.1267430099331721
epoch: 549
Epoch 549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 549With loss 0.1267430099331721
epoch: 550
Epoch 550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 550With loss 0.1267430099331721
epoch: 551
Epoch 551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 551With loss 0.1267430099331721
epoch: 552
Epoch 552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 552With loss 0.1267430099331721
epoch: 553
Epoch 553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 553With loss 0.1267430099331721
epoch: 554
Epoch 554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 554With loss 0.1267430099331721
epoch: 555
Epoch 555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 555With loss 0.1267430099331721
epoch: 556
Epoch 556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 556With loss 0.1267430099331721
epoch: 557
Epoch 557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 557With loss 0.1267430099331721
epoch: 558
Epoch 558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 558With loss 0.1267430099331721
epoch: 559
Epoch 559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 559With loss 0.1267430099331721
epoch: 560
Epoch 560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 560With loss 0.1267430099331721
epoch: 561
Epoch 561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 561With loss 0.1267430099331721
epoch: 562
Epoch 562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 562With loss 0.1267430099331721
epoch: 563
Epoch 563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 563With loss 0.1267430099331721
epoch: 564
Epoch 564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 564With loss 0.1267430099331721
epoch: 565
Epoch 565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 565With loss 0.1267430099331721
epoch: 566
Epoch 566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 566With loss 0.1267430099331721
epoch: 567
Epoch 567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 567With loss 0.1267430099331721
epoch: 568
Epoch 568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 568With loss 0.1267430099331721
epoch: 569
Epoch 569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 569With loss 0.1267430099331721
epoch: 570
Epoch 570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 570With loss 0.1267430099331721
epoch: 571
Epoch 571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 571With loss 0.1267430099331721
epoch: 572
Epoch 572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 572With loss 0.1267430099331721
epoch: 573
Epoch 573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 573With loss 0.1267430099331721
epoch: 574
Epoch 574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 574With loss 0.1267430099331721
epoch: 575
Epoch 575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 575With loss 0.1267430099331721
epoch: 576
Epoch 576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 576With loss 0.1267430099331721
epoch: 577
Epoch 577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 577With loss 0.1267430099331721
epoch: 578
Epoch 578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 578With loss 0.1267430099331721
epoch: 579
Epoch 579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 579With loss 0.1267430099331721
epoch: 580
Epoch 580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 580With loss 0.1267430099331721
epoch: 581
Epoch 581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 581With loss 0.1267430099331721
epoch: 582
Epoch 582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 582With loss 0.1267430099331721
epoch: 583
Epoch 583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 583With loss 0.1267430099331721
epoch: 584
Epoch 584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 584With loss 0.1267430099331721
epoch: 585
Epoch 585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 585With loss 0.1267430099331721
epoch: 586
Epoch 586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 586With loss 0.1267430099331721
epoch: 587
Epoch 587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 587With loss 0.1267430099331721
epoch: 588
Epoch 588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 588With loss 0.1267430099331721
epoch: 589
Epoch 589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 589With loss 0.1267430099331721
epoch: 590
Epoch 590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 590With loss 0.1267430099331721
epoch: 591
Epoch 591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 591With loss 0.1267430099331721
epoch: 592
Epoch 592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 592With loss 0.1267430099331721
epoch: 593
Epoch 593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 593With loss 0.1267430099331721
epoch: 594
Epoch 594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 594With loss 0.1267430099331721
epoch: 595
Epoch 595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 595With loss 0.1267430099331721
epoch: 596
Epoch 596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 596With loss 0.1267430099331721
epoch: 597
Epoch 597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 597With loss 0.1267430099331721
epoch: 598
Epoch 598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 598With loss 0.1267430099331721
epoch: 599
Epoch 599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 599With loss 0.1267430099331721
epoch: 600
Epoch 600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 600With loss 0.1267430099331721
epoch: 601
Epoch 601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 601With loss 0.1267430099331721
epoch: 602
Epoch 602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 602With loss 0.1267430099331721
epoch: 603
Epoch 603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 603With loss 0.1267430099331721
epoch: 604
Epoch 604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 604With loss 0.1267430099331721
epoch: 605
Epoch 605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 605With loss 0.1267430099331721
epoch: 606
Epoch 606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 606With loss 0.1267430099331721
epoch: 607
Epoch 607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 607With loss 0.1267430099331721
epoch: 608
Epoch 608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 608With loss 0.1267430099331721
epoch: 609
Epoch 609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 609With loss 0.1267430099331721
epoch: 610
Epoch 610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 610With loss 0.1267430099331721
epoch: 611
Epoch 611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 611With loss 0.1267430099331721
epoch: 612
Epoch 612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 612With loss 0.1267430099331721
epoch: 613
Epoch 613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 613With loss 0.1267430099331721
epoch: 614
Epoch 614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 614With loss 0.1267430099331721
epoch: 615
Epoch 615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 615With loss 0.1267430099331721
epoch: 616
Epoch 616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 616With loss 0.1267430099331721
epoch: 617
Epoch 617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 617With loss 0.1267430099331721
epoch: 618
Epoch 618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 618With loss 0.1267430099331721
epoch: 619
Epoch 619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 619With loss 0.1267430099331721
epoch: 620
Epoch 620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 620With loss 0.1267430099331721
epoch: 621
Epoch 621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 621With loss 0.1267430099331721
epoch: 622
Epoch 622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 622With loss 0.1267430099331721
epoch: 623
Epoch 623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 623With loss 0.1267430099331721
epoch: 624
Epoch 624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 624With loss 0.1267430099331721
epoch: 625
Epoch 625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 625With loss 0.1267430099331721
epoch: 626
Epoch 626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 626With loss 0.1267430099331721
epoch: 627
Epoch 627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 627With loss 0.1267430099331721
epoch: 628
Epoch 628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 628With loss 0.1267430099331721
epoch: 629
Epoch 629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 629With loss 0.1267430099331721
epoch: 630
Epoch 630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 630With loss 0.1267430099331721
epoch: 631
Epoch 631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 631With loss 0.1267430099331721
epoch: 632
Epoch 632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 632With loss 0.1267430099331721
epoch: 633
Epoch 633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 633With loss 0.1267430099331721
epoch: 634
Epoch 634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 634With loss 0.1267430099331721
epoch: 635
Epoch 635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 635With loss 0.1267430099331721
epoch: 636
Epoch 636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 636With loss 0.1267430099331721
epoch: 637
Epoch 637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 637With loss 0.1267430099331721
epoch: 638
Epoch 638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 638With loss 0.1267430099331721
epoch: 639
Epoch 639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 639With loss 0.1267430099331721
epoch: 640
Epoch 640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 640With loss 0.1267430099331721
epoch: 641
Epoch 641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 641With loss 0.1267430099331721
epoch: 642
Epoch 642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 642With loss 0.1267430099331721
epoch: 643
Epoch 643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 643With loss 0.1267430099331721
epoch: 644
Epoch 644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 644With loss 0.1267430099331721
epoch: 645
Epoch 645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 645With loss 0.1267430099331721
epoch: 646
Epoch 646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 646With loss 0.1267430099331721
epoch: 647
Epoch 647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 647With loss 0.1267430099331721
epoch: 648
Epoch 648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 648With loss 0.1267430099331721
epoch: 649
Epoch 649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 649With loss 0.1267430099331721
epoch: 650
Epoch 650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 650With loss 0.1267430099331721
epoch: 651
Epoch 651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 651With loss 0.1267430099331721
epoch: 652
Epoch 652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 652With loss 0.1267430099331721
epoch: 653
Epoch 653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 653With loss 0.1267430099331721
epoch: 654
Epoch 654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 654With loss 0.1267430099331721
epoch: 655
Epoch 655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 655With loss 0.1267430099331721
epoch: 656
Epoch 656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 656With loss 0.1267430099331721
epoch: 657
Epoch 657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 657With loss 0.1267430099331721
epoch: 658
Epoch 658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 658With loss 0.1267430099331721
epoch: 659
Epoch 659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 659With loss 0.1267430099331721
epoch: 660
Epoch 660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 660With loss 0.1267430099331721
epoch: 661
Epoch 661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 661With loss 0.1267430099331721
epoch: 662
Epoch 662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 662With loss 0.1267430099331721
epoch: 663
Epoch 663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 663With loss 0.1267430099331721
epoch: 664
Epoch 664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 664With loss 0.1267430099331721
epoch: 665
Epoch 665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 665With loss 0.1267430099331721
epoch: 666
Epoch 666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 666With loss 0.1267430099331721
epoch: 667
Epoch 667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 667With loss 0.1267430099331721
epoch: 668
Epoch 668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 668With loss 0.1267430099331721
epoch: 669
Epoch 669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 669With loss 0.1267430099331721
epoch: 670
Epoch 670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 670With loss 0.1267430099331721
epoch: 671
Epoch 671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 671With loss 0.1267430099331721
epoch: 672
Epoch 672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 672With loss 0.1267430099331721
epoch: 673
Epoch 673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 673With loss 0.1267430099331721
epoch: 674
Epoch 674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 674With loss 0.1267430099331721
epoch: 675
Epoch 675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 675With loss 0.1267430099331721
epoch: 676
Epoch 676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 676With loss 0.1267430099331721
epoch: 677
Epoch 677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 677With loss 0.1267430099331721
epoch: 678
Epoch 678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 678With loss 0.1267430099331721
epoch: 679
Epoch 679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 679With loss 0.1267430099331721
epoch: 680
Epoch 680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 680With loss 0.1267430099331721
epoch: 681
Epoch 681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 681With loss 0.1267430099331721
epoch: 682
Epoch 682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 682With loss 0.1267430099331721
epoch: 683
Epoch 683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 683With loss 0.1267430099331721
epoch: 684
Epoch 684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 684With loss 0.1267430099331721
epoch: 685
Epoch 685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 685With loss 0.1267430099331721
epoch: 686
Epoch 686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 686With loss 0.1267430099331721
epoch: 687
Epoch 687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 687With loss 0.1267430099331721
epoch: 688
Epoch 688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 688With loss 0.1267430099331721
epoch: 689
Epoch 689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 689With loss 0.1267430099331721
epoch: 690
Epoch 690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 690With loss 0.1267430099331721
epoch: 691
Epoch 691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 691With loss 0.1267430099331721
epoch: 692
Epoch 692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 692With loss 0.1267430099331721
epoch: 693
Epoch 693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 693With loss 0.1267430099331721
epoch: 694
Epoch 694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 694With loss 0.1267430099331721
epoch: 695
Epoch 695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 695With loss 0.1267430099331721
epoch: 696
Epoch 696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 696With loss 0.1267430099331721
epoch: 697
Epoch 697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 697With loss 0.1267430099331721
epoch: 698
Epoch 698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 698With loss 0.1267430099331721
epoch: 699
Epoch 699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 699With loss 0.1267430099331721
epoch: 700
Epoch 700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 700With loss 0.1267430099331721
epoch: 701
Epoch 701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 701With loss 0.1267430099331721
epoch: 702
Epoch 702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 702With loss 0.1267430099331721
epoch: 703
Epoch 703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 703With loss 0.1267430099331721
epoch: 704
Epoch 704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 704With loss 0.1267430099331721
epoch: 705
Epoch 705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 705With loss 0.1267430099331721
epoch: 706
Epoch 706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 706With loss 0.1267430099331721
epoch: 707
Epoch 707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 707With loss 0.1267430099331721
epoch: 708
Epoch 708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 708With loss 0.1267430099331721
epoch: 709
Epoch 709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 709With loss 0.1267430099331721
epoch: 710
Epoch 710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 710With loss 0.1267430099331721
epoch: 711
Epoch 711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 711With loss 0.1267430099331721
epoch: 712
Epoch 712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 712With loss 0.1267430099331721
epoch: 713
Epoch 713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 713With loss 0.1267430099331721
epoch: 714
Epoch 714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 714With loss 0.1267430099331721
epoch: 715
Epoch 715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 715With loss 0.1267430099331721
epoch: 716
Epoch 716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 716With loss 0.1267430099331721
epoch: 717
Epoch 717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 717With loss 0.1267430099331721
epoch: 718
Epoch 718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 718With loss 0.1267430099331721
epoch: 719
Epoch 719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 719With loss 0.1267430099331721
epoch: 720
Epoch 720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 720With loss 0.1267430099331721
epoch: 721
Epoch 721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 721With loss 0.1267430099331721
epoch: 722
Epoch 722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 722With loss 0.1267430099331721
epoch: 723
Epoch 723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 723With loss 0.1267430099331721
epoch: 724
Epoch 724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 724With loss 0.1267430099331721
epoch: 725
Epoch 725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 725With loss 0.1267430099331721
epoch: 726
Epoch 726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 726With loss 0.1267430099331721
epoch: 727
Epoch 727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 727With loss 0.1267430099331721
epoch: 728
Epoch 728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 728With loss 0.1267430099331721
epoch: 729
Epoch 729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 729With loss 0.1267430099331721
epoch: 730
Epoch 730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 730With loss 0.1267430099331721
epoch: 731
Epoch 731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 731With loss 0.1267430099331721
epoch: 732
Epoch 732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 732With loss 0.1267430099331721
epoch: 733
Epoch 733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 733With loss 0.1267430099331721
epoch: 734
Epoch 734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 734With loss 0.1267430099331721
epoch: 735
Epoch 735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 735With loss 0.1267430099331721
epoch: 736
Epoch 736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 736With loss 0.1267430099331721
epoch: 737
Epoch 737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 737With loss 0.1267430099331721
epoch: 738
Epoch 738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 738With loss 0.1267430099331721
epoch: 739
Epoch 739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 739With loss 0.1267430099331721
epoch: 740
Epoch 740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 740With loss 0.1267430099331721
epoch: 741
Epoch 741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 741With loss 0.1267430099331721
epoch: 742
Epoch 742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 742With loss 0.1267430099331721
epoch: 743
Epoch 743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 743With loss 0.1267430099331721
epoch: 744
Epoch 744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 744With loss 0.1267430099331721
epoch: 745
Epoch 745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 745With loss 0.1267430099331721
epoch: 746
Epoch 746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 746With loss 0.1267430099331721
epoch: 747
Epoch 747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 747With loss 0.1267430099331721
epoch: 748
Epoch 748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 748With loss 0.1267430099331721
epoch: 749
Epoch 749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 749With loss 0.1267430099331721
epoch: 750
Epoch 750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 750With loss 0.1267430099331721
epoch: 751
Epoch 751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 751With loss 0.1267430099331721
epoch: 752
Epoch 752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 752With loss 0.1267430099331721
epoch: 753
Epoch 753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 753With loss 0.1267430099331721
epoch: 754
Epoch 754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 754With loss 0.1267430099331721
epoch: 755
Epoch 755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 755With loss 0.1267430099331721
epoch: 756
Epoch 756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 756With loss 0.1267430099331721
epoch: 757
Epoch 757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 757With loss 0.1267430099331721
epoch: 758
Epoch 758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 758With loss 0.1267430099331721
epoch: 759
Epoch 759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 759With loss 0.1267430099331721
epoch: 760
Epoch 760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 760With loss 0.1267430099331721
epoch: 761
Epoch 761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 761With loss 0.1267430099331721
epoch: 762
Epoch 762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 762With loss 0.1267430099331721
epoch: 763
Epoch 763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 763With loss 0.1267430099331721
epoch: 764
Epoch 764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 764With loss 0.1267430099331721
epoch: 765
Epoch 765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 765With loss 0.1267430099331721
epoch: 766
Epoch 766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 766With loss 0.1267430099331721
epoch: 767
Epoch 767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 767With loss 0.1267430099331721
epoch: 768
Epoch 768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 768With loss 0.1267430099331721
epoch: 769
Epoch 769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 769With loss 0.1267430099331721
epoch: 770
Epoch 770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 770With loss 0.1267430099331721
epoch: 771
Epoch 771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 771With loss 0.1267430099331721
epoch: 772
Epoch 772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 772With loss 0.1267430099331721
epoch: 773
Epoch 773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 773With loss 0.1267430099331721
epoch: 774
Epoch 774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 774With loss 0.1267430099331721
epoch: 775
Epoch 775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 775With loss 0.1267430099331721
epoch: 776
Epoch 776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 776With loss 0.1267430099331721
epoch: 777
Epoch 777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 777With loss 0.1267430099331721
epoch: 778
Epoch 778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 778With loss 0.1267430099331721
epoch: 779
Epoch 779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 779With loss 0.1267430099331721
epoch: 780
Epoch 780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 780With loss 0.1267430099331721
epoch: 781
Epoch 781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 781With loss 0.1267430099331721
epoch: 782
Epoch 782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 782With loss 0.1267430099331721
epoch: 783
Epoch 783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 783With loss 0.1267430099331721
epoch: 784
Epoch 784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 784With loss 0.1267430099331721
epoch: 785
Epoch 785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 785With loss 0.1267430099331721
epoch: 786
Epoch 786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 786With loss 0.1267430099331721
epoch: 787
Epoch 787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 787With loss 0.1267430099331721
epoch: 788
Epoch 788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 788With loss 0.1267430099331721
epoch: 789
Epoch 789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 789With loss 0.1267430099331721
epoch: 790
Epoch 790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 790With loss 0.1267430099331721
epoch: 791
Epoch 791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 791With loss 0.1267430099331721
epoch: 792
Epoch 792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 792With loss 0.1267430099331721
epoch: 793
Epoch 793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 793With loss 0.1267430099331721
epoch: 794
Epoch 794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 794With loss 0.1267430099331721
epoch: 795
Epoch 795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 795With loss 0.1267430099331721
epoch: 796
Epoch 796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 796With loss 0.1267430099331721
epoch: 797
Epoch 797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 797With loss 0.1267430099331721
epoch: 798
Epoch 798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 798With loss 0.1267430099331721
epoch: 799
Epoch 799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 799With loss 0.1267430099331721
epoch: 800
Epoch 800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 800With loss 0.1267430099331721
epoch: 801
Epoch 801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 801With loss 0.1267430099331721
epoch: 802
Epoch 802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 802With loss 0.1267430099331721
epoch: 803
Epoch 803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 803With loss 0.1267430099331721
epoch: 804
Epoch 804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 804With loss 0.1267430099331721
epoch: 805
Epoch 805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 805With loss 0.1267430099331721
epoch: 806
Epoch 806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 806With loss 0.1267430099331721
epoch: 807
Epoch 807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 807With loss 0.1267430099331721
epoch: 808
Epoch 808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 808With loss 0.1267430099331721
epoch: 809
Epoch 809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 809With loss 0.1267430099331721
epoch: 810
Epoch 810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 810With loss 0.1267430099331721
epoch: 811
Epoch 811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 811With loss 0.1267430099331721
epoch: 812
Epoch 812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 812With loss 0.1267430099331721
epoch: 813
Epoch 813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 813With loss 0.1267430099331721
epoch: 814
Epoch 814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 814With loss 0.1267430099331721
epoch: 815
Epoch 815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 815With loss 0.1267430099331721
epoch: 816
Epoch 816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 816With loss 0.1267430099331721
epoch: 817
Epoch 817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 817With loss 0.1267430099331721
epoch: 818
Epoch 818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 818With loss 0.1267430099331721
epoch: 819
Epoch 819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 819With loss 0.1267430099331721
epoch: 820
Epoch 820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 820With loss 0.1267430099331721
epoch: 821
Epoch 821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 821With loss 0.1267430099331721
epoch: 822
Epoch 822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 822With loss 0.1267430099331721
epoch: 823
Epoch 823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 823With loss 0.1267430099331721
epoch: 824
Epoch 824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 824With loss 0.1267430099331721
epoch: 825
Epoch 825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 825With loss 0.1267430099331721
epoch: 826
Epoch 826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 826With loss 0.1267430099331721
epoch: 827
Epoch 827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 827With loss 0.1267430099331721
epoch: 828
Epoch 828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 828With loss 0.1267430099331721
epoch: 829
Epoch 829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 829With loss 0.1267430099331721
epoch: 830
Epoch 830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 830With loss 0.1267430099331721
epoch: 831
Epoch 831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 831With loss 0.1267430099331721
epoch: 832
Epoch 832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 832With loss 0.1267430099331721
epoch: 833
Epoch 833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 833With loss 0.1267430099331721
epoch: 834
Epoch 834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 834With loss 0.1267430099331721
epoch: 835
Epoch 835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 835With loss 0.1267430099331721
epoch: 836
Epoch 836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 836With loss 0.1267430099331721
epoch: 837
Epoch 837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 837With loss 0.1267430099331721
epoch: 838
Epoch 838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 838With loss 0.1267430099331721
epoch: 839
Epoch 839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 839With loss 0.1267430099331721
epoch: 840
Epoch 840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 840With loss 0.1267430099331721
epoch: 841
Epoch 841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 841With loss 0.1267430099331721
epoch: 842
Epoch 842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 842With loss 0.1267430099331721
epoch: 843
Epoch 843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 843With loss 0.1267430099331721
epoch: 844
Epoch 844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 844With loss 0.1267430099331721
epoch: 845
Epoch 845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 845With loss 0.1267430099331721
epoch: 846
Epoch 846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 846With loss 0.1267430099331721
epoch: 847
Epoch 847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 847With loss 0.1267430099331721
epoch: 848
Epoch 848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 848With loss 0.1267430099331721
epoch: 849
Epoch 849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 849With loss 0.1267430099331721
epoch: 850
Epoch 850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 850With loss 0.1267430099331721
epoch: 851
Epoch 851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 851With loss 0.1267430099331721
epoch: 852
Epoch 852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 852With loss 0.1267430099331721
epoch: 853
Epoch 853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 853With loss 0.1267430099331721
epoch: 854
Epoch 854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 854With loss 0.1267430099331721
epoch: 855
Epoch 855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 855With loss 0.1267430099331721
epoch: 856
Epoch 856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 856With loss 0.1267430099331721
epoch: 857
Epoch 857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 857With loss 0.1267430099331721
epoch: 858
Epoch 858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 858With loss 0.1267430099331721
epoch: 859
Epoch 859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 859With loss 0.1267430099331721
epoch: 860
Epoch 860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 860With loss 0.1267430099331721
epoch: 861
Epoch 861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 861With loss 0.1267430099331721
epoch: 862
Epoch 862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 862With loss 0.1267430099331721
epoch: 863
Epoch 863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 863With loss 0.1267430099331721
epoch: 864
Epoch 864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 864With loss 0.1267430099331721
epoch: 865
Epoch 865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 865With loss 0.1267430099331721
epoch: 866
Epoch 866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 866With loss 0.1267430099331721
epoch: 867
Epoch 867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 867With loss 0.1267430099331721
epoch: 868
Epoch 868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 868With loss 0.1267430099331721
epoch: 869
Epoch 869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 869With loss 0.1267430099331721
epoch: 870
Epoch 870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 870With loss 0.1267430099331721
epoch: 871
Epoch 871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 871With loss 0.1267430099331721
epoch: 872
Epoch 872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 872With loss 0.1267430099331721
epoch: 873
Epoch 873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 873With loss 0.1267430099331721
epoch: 874
Epoch 874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 874With loss 0.1267430099331721
epoch: 875
Epoch 875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 875With loss 0.1267430099331721
epoch: 876
Epoch 876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 876With loss 0.1267430099331721
epoch: 877
Epoch 877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 877With loss 0.1267430099331721
epoch: 878
Epoch 878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 878With loss 0.1267430099331721
epoch: 879
Epoch 879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 879With loss 0.1267430099331721
epoch: 880
Epoch 880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 880With loss 0.1267430099331721
epoch: 881
Epoch 881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 881With loss 0.1267430099331721
epoch: 882
Epoch 882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 882With loss 0.1267430099331721
epoch: 883
Epoch 883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 883With loss 0.1267430099331721
epoch: 884
Epoch 884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 884With loss 0.1267430099331721
epoch: 885
Epoch 885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 885With loss 0.1267430099331721
epoch: 886
Epoch 886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 886With loss 0.1267430099331721
epoch: 887
Epoch 887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 887With loss 0.1267430099331721
epoch: 888
Epoch 888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 888With loss 0.1267430099331721
epoch: 889
Epoch 889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 889With loss 0.1267430099331721
epoch: 890
Epoch 890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 890With loss 0.1267430099331721
epoch: 891
Epoch 891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 891With loss 0.1267430099331721
epoch: 892
Epoch 892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 892With loss 0.1267430099331721
epoch: 893
Epoch 893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 893With loss 0.1267430099331721
epoch: 894
Epoch 894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 894With loss 0.1267430099331721
epoch: 895
Epoch 895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 895With loss 0.1267430099331721
epoch: 896
Epoch 896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 896With loss 0.1267430099331721
epoch: 897
Epoch 897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 897With loss 0.1267430099331721
epoch: 898
Epoch 898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 898With loss 0.1267430099331721
epoch: 899
Epoch 899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 899With loss 0.1267430099331721
epoch: 900
Epoch 900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 900With loss 0.1267430099331721
epoch: 901
Epoch 901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 901With loss 0.1267430099331721
epoch: 902
Epoch 902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 902With loss 0.1267430099331721
epoch: 903
Epoch 903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 903With loss 0.1267430099331721
epoch: 904
Epoch 904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 904With loss 0.1267430099331721
epoch: 905
Epoch 905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 905With loss 0.1267430099331721
epoch: 906
Epoch 906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 906With loss 0.1267430099331721
epoch: 907
Epoch 907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 907With loss 0.1267430099331721
epoch: 908
Epoch 908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 908With loss 0.1267430099331721
epoch: 909
Epoch 909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 909With loss 0.1267430099331721
epoch: 910
Epoch 910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 910With loss 0.1267430099331721
epoch: 911
Epoch 911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 911With loss 0.1267430099331721
epoch: 912
Epoch 912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 912With loss 0.1267430099331721
epoch: 913
Epoch 913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 913With loss 0.1267430099331721
epoch: 914
Epoch 914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 914With loss 0.1267430099331721
epoch: 915
Epoch 915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 915With loss 0.1267430099331721
epoch: 916
Epoch 916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 916With loss 0.1267430099331721
epoch: 917
Epoch 917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 917With loss 0.1267430099331721
epoch: 918
Epoch 918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 918With loss 0.1267430099331721
epoch: 919
Epoch 919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 919With loss 0.1267430099331721
epoch: 920
Epoch 920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 920With loss 0.1267430099331721
epoch: 921
Epoch 921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 921With loss 0.1267430099331721
epoch: 922
Epoch 922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 922With loss 0.1267430099331721
epoch: 923
Epoch 923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 923With loss 0.1267430099331721
epoch: 924
Epoch 924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 924With loss 0.1267430099331721
epoch: 925
Epoch 925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 925With loss 0.1267430099331721
epoch: 926
Epoch 926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 926With loss 0.1267430099331721
epoch: 927
Epoch 927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 927With loss 0.1267430099331721
epoch: 928
Epoch 928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 928With loss 0.1267430099331721
epoch: 929
Epoch 929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 929With loss 0.1267430099331721
epoch: 930
Epoch 930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 930With loss 0.1267430099331721
epoch: 931
Epoch 931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 931With loss 0.1267430099331721
epoch: 932
Epoch 932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 932With loss 0.1267430099331721
epoch: 933
Epoch 933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 933With loss 0.1267430099331721
epoch: 934
Epoch 934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 934With loss 0.1267430099331721
epoch: 935
Epoch 935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 935With loss 0.1267430099331721
epoch: 936
Epoch 936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 936With loss 0.1267430099331721
epoch: 937
Epoch 937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 937With loss 0.1267430099331721
epoch: 938
Epoch 938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 938With loss 0.1267430099331721
epoch: 939
Epoch 939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 939With loss 0.1267430099331721
epoch: 940
Epoch 940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 940With loss 0.1267430099331721
epoch: 941
Epoch 941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 941With loss 0.1267430099331721
epoch: 942
Epoch 942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 942With loss 0.1267430099331721
epoch: 943
Epoch 943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 943With loss 0.1267430099331721
epoch: 944
Epoch 944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 944With loss 0.1267430099331721
epoch: 945
Epoch 945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 945With loss 0.1267430099331721
epoch: 946
Epoch 946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 946With loss 0.1267430099331721
epoch: 947
Epoch 947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 947With loss 0.1267430099331721
epoch: 948
Epoch 948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 948With loss 0.1267430099331721
epoch: 949
Epoch 949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 949With loss 0.1267430099331721
epoch: 950
Epoch 950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 950With loss 0.1267430099331721
epoch: 951
Epoch 951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 951With loss 0.1267430099331721
epoch: 952
Epoch 952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 952With loss 0.1267430099331721
epoch: 953
Epoch 953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 953With loss 0.1267430099331721
epoch: 954
Epoch 954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 954With loss 0.1267430099331721
epoch: 955
Epoch 955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 955With loss 0.1267430099331721
epoch: 956
Epoch 956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 956With loss 0.1267430099331721
epoch: 957
Epoch 957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 957With loss 0.1267430099331721
epoch: 958
Epoch 958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 958With loss 0.1267430099331721
epoch: 959
Epoch 959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 959With loss 0.1267430099331721
epoch: 960
Epoch 960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 960With loss 0.1267430099331721
epoch: 961
Epoch 961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 961With loss 0.1267430099331721
epoch: 962
Epoch 962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 962With loss 0.1267430099331721
epoch: 963
Epoch 963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 963With loss 0.1267430099331721
epoch: 964
Epoch 964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 964With loss 0.1267430099331721
epoch: 965
Epoch 965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 965With loss 0.1267430099331721
epoch: 966
Epoch 966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 966With loss 0.1267430099331721
epoch: 967
Epoch 967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 967With loss 0.1267430099331721
epoch: 968
Epoch 968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 968With loss 0.1267430099331721
epoch: 969
Epoch 969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 969With loss 0.1267430099331721
epoch: 970
Epoch 970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 970With loss 0.1267430099331721
epoch: 971
Epoch 971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 971With loss 0.1267430099331721
epoch: 972
Epoch 972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 972With loss 0.1267430099331721
epoch: 973
Epoch 973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 973With loss 0.1267430099331721
epoch: 974
Epoch 974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 974With loss 0.1267430099331721
epoch: 975
Epoch 975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 975With loss 0.1267430099331721
epoch: 976
Epoch 976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 976With loss 0.1267430099331721
epoch: 977
Epoch 977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 977With loss 0.1267430099331721
epoch: 978
Epoch 978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 978With loss 0.1267430099331721
epoch: 979
Epoch 979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 979With loss 0.1267430099331721
epoch: 980
Epoch 980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 980With loss 0.1267430099331721
epoch: 981
Epoch 981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 981With loss 0.1267430099331721
epoch: 982
Epoch 982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 982With loss 0.1267430099331721
epoch: 983
Epoch 983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 983With loss 0.1267430099331721
epoch: 984
Epoch 984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 984With loss 0.1267430099331721
epoch: 985
Epoch 985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 985With loss 0.1267430099331721
epoch: 986
Epoch 986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 986With loss 0.1267430099331721
epoch: 987
Epoch 987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 987With loss 0.1267430099331721
epoch: 988
Epoch 988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 988With loss 0.1267430099331721
epoch: 989
Epoch 989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 989With loss 0.1267430099331721
epoch: 990
Epoch 990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 990With loss 0.1267430099331721
epoch: 991
Epoch 991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 991With loss 0.1267430099331721
epoch: 992
Epoch 992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 992With loss 0.1267430099331721
epoch: 993
Epoch 993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 993With loss 0.1267430099331721
epoch: 994
Epoch 994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 994With loss 0.1267430099331721
epoch: 995
Epoch 995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 995With loss 0.1267430099331721
epoch: 996
Epoch 996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 996With loss 0.1267430099331721
epoch: 997
Epoch 997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 997With loss 0.1267430099331721
epoch: 998
Epoch 998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 998With loss 0.1267430099331721
epoch: 999
Epoch 999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 999With loss 0.1267430099331721
epoch: 1000
Epoch 1000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1000With loss 0.1267430099331721
epoch: 1001
Epoch 1001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1001With loss 0.1267430099331721
epoch: 1002
Epoch 1002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1002With loss 0.1267430099331721
epoch: 1003
Epoch 1003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1003With loss 0.1267430099331721
epoch: 1004
Epoch 1004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1004With loss 0.1267430099331721
epoch: 1005
Epoch 1005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1005With loss 0.1267430099331721
epoch: 1006
Epoch 1006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1006With loss 0.1267430099331721
epoch: 1007
Epoch 1007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1007With loss 0.1267430099331721
epoch: 1008
Epoch 1008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1008With loss 0.1267430099331721
epoch: 1009
Epoch 1009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1009With loss 0.1267430099331721
epoch: 1010
Epoch 1010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1010With loss 0.1267430099331721
epoch: 1011
Epoch 1011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1011With loss 0.1267430099331721
epoch: 1012
Epoch 1012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1012With loss 0.1267430099331721
epoch: 1013
Epoch 1013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1013With loss 0.1267430099331721
epoch: 1014
Epoch 1014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1014With loss 0.1267430099331721
epoch: 1015
Epoch 1015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1015With loss 0.1267430099331721
epoch: 1016
Epoch 1016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1016With loss 0.1267430099331721
epoch: 1017
Epoch 1017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1017With loss 0.1267430099331721
epoch: 1018
Epoch 1018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1018With loss 0.1267430099331721
epoch: 1019
Epoch 1019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1019With loss 0.1267430099331721
epoch: 1020
Epoch 1020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1020With loss 0.1267430099331721
epoch: 1021
Epoch 1021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1021With loss 0.1267430099331721
epoch: 1022
Epoch 1022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1022With loss 0.1267430099331721
epoch: 1023
Epoch 1023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1023With loss 0.1267430099331721
epoch: 1024
Epoch 1024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1024With loss 0.1267430099331721
epoch: 1025
Epoch 1025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1025With loss 0.1267430099331721
epoch: 1026
Epoch 1026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1026With loss 0.1267430099331721
epoch: 1027
Epoch 1027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1027With loss 0.1267430099331721
epoch: 1028
Epoch 1028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1028With loss 0.1267430099331721
epoch: 1029
Epoch 1029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1029With loss 0.1267430099331721
epoch: 1030
Epoch 1030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1030With loss 0.1267430099331721
epoch: 1031
Epoch 1031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1031With loss 0.1267430099331721
epoch: 1032
Epoch 1032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1032With loss 0.1267430099331721
epoch: 1033
Epoch 1033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1033With loss 0.1267430099331721
epoch: 1034
Epoch 1034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1034With loss 0.1267430099331721
epoch: 1035
Epoch 1035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1035With loss 0.1267430099331721
epoch: 1036
Epoch 1036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1036With loss 0.1267430099331721
epoch: 1037
Epoch 1037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1037With loss 0.1267430099331721
epoch: 1038
Epoch 1038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1038With loss 0.1267430099331721
epoch: 1039
Epoch 1039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1039With loss 0.1267430099331721
epoch: 1040
Epoch 1040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1040With loss 0.1267430099331721
epoch: 1041
Epoch 1041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1041With loss 0.1267430099331721
epoch: 1042
Epoch 1042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1042With loss 0.1267430099331721
epoch: 1043
Epoch 1043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1043With loss 0.1267430099331721
epoch: 1044
Epoch 1044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1044With loss 0.1267430099331721
epoch: 1045
Epoch 1045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1045With loss 0.1267430099331721
epoch: 1046
Epoch 1046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1046With loss 0.1267430099331721
epoch: 1047
Epoch 1047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1047With loss 0.1267430099331721
epoch: 1048
Epoch 1048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1048With loss 0.1267430099331721
epoch: 1049
Epoch 1049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1049With loss 0.1267430099331721
epoch: 1050
Epoch 1050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1050With loss 0.1267430099331721
epoch: 1051
Epoch 1051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1051With loss 0.1267430099331721
epoch: 1052
Epoch 1052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1052With loss 0.1267430099331721
epoch: 1053
Epoch 1053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1053With loss 0.1267430099331721
epoch: 1054
Epoch 1054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1054With loss 0.1267430099331721
epoch: 1055
Epoch 1055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1055With loss 0.1267430099331721
epoch: 1056
Epoch 1056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1056With loss 0.1267430099331721
epoch: 1057
Epoch 1057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1057With loss 0.1267430099331721
epoch: 1058
Epoch 1058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1058With loss 0.1267430099331721
epoch: 1059
Epoch 1059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1059With loss 0.1267430099331721
epoch: 1060
Epoch 1060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1060With loss 0.1267430099331721
epoch: 1061
Epoch 1061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1061With loss 0.1267430099331721
epoch: 1062
Epoch 1062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1062With loss 0.1267430099331721
epoch: 1063
Epoch 1063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1063With loss 0.1267430099331721
epoch: 1064
Epoch 1064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1064With loss 0.1267430099331721
epoch: 1065
Epoch 1065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1065With loss 0.1267430099331721
epoch: 1066
Epoch 1066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1066With loss 0.1267430099331721
epoch: 1067
Epoch 1067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1067With loss 0.1267430099331721
epoch: 1068
Epoch 1068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1068With loss 0.1267430099331721
epoch: 1069
Epoch 1069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1069With loss 0.1267430099331721
epoch: 1070
Epoch 1070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1070With loss 0.1267430099331721
epoch: 1071
Epoch 1071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1071With loss 0.1267430099331721
epoch: 1072
Epoch 1072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1072With loss 0.1267430099331721
epoch: 1073
Epoch 1073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1073With loss 0.1267430099331721
epoch: 1074
Epoch 1074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1074With loss 0.1267430099331721
epoch: 1075
Epoch 1075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1075With loss 0.1267430099331721
epoch: 1076
Epoch 1076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1076With loss 0.1267430099331721
epoch: 1077
Epoch 1077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1077With loss 0.1267430099331721
epoch: 1078
Epoch 1078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1078With loss 0.1267430099331721
epoch: 1079
Epoch 1079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1079With loss 0.1267430099331721
epoch: 1080
Epoch 1080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1080With loss 0.1267430099331721
epoch: 1081
Epoch 1081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1081With loss 0.1267430099331721
epoch: 1082
Epoch 1082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1082With loss 0.1267430099331721
epoch: 1083
Epoch 1083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1083With loss 0.1267430099331721
epoch: 1084
Epoch 1084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1084With loss 0.1267430099331721
epoch: 1085
Epoch 1085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1085With loss 0.1267430099331721
epoch: 1086
Epoch 1086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1086With loss 0.1267430099331721
epoch: 1087
Epoch 1087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1087With loss 0.1267430099331721
epoch: 1088
Epoch 1088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1088With loss 0.1267430099331721
epoch: 1089
Epoch 1089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1089With loss 0.1267430099331721
epoch: 1090
Epoch 1090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1090With loss 0.1267430099331721
epoch: 1091
Epoch 1091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1091With loss 0.1267430099331721
epoch: 1092
Epoch 1092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1092With loss 0.1267430099331721
epoch: 1093
Epoch 1093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1093With loss 0.1267430099331721
epoch: 1094
Epoch 1094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1094With loss 0.1267430099331721
epoch: 1095
Epoch 1095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1095With loss 0.1267430099331721
epoch: 1096
Epoch 1096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1096With loss 0.1267430099331721
epoch: 1097
Epoch 1097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1097With loss 0.1267430099331721
epoch: 1098
Epoch 1098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1098With loss 0.1267430099331721
epoch: 1099
Epoch 1099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1099With loss 0.1267430099331721
epoch: 1100
Epoch 1100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1100With loss 0.1267430099331721
epoch: 1101
Epoch 1101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1101With loss 0.1267430099331721
epoch: 1102
Epoch 1102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1102With loss 0.1267430099331721
epoch: 1103
Epoch 1103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1103With loss 0.1267430099331721
epoch: 1104
Epoch 1104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1104With loss 0.1267430099331721
epoch: 1105
Epoch 1105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1105With loss 0.1267430099331721
epoch: 1106
Epoch 1106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1106With loss 0.1267430099331721
epoch: 1107
Epoch 1107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1107With loss 0.1267430099331721
epoch: 1108
Epoch 1108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1108With loss 0.1267430099331721
epoch: 1109
Epoch 1109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1109With loss 0.1267430099331721
epoch: 1110
Epoch 1110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1110With loss 0.1267430099331721
epoch: 1111
Epoch 1111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1111With loss 0.1267430099331721
epoch: 1112
Epoch 1112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1112With loss 0.1267430099331721
epoch: 1113
Epoch 1113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1113With loss 0.1267430099331721
epoch: 1114
Epoch 1114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1114With loss 0.1267430099331721
epoch: 1115
Epoch 1115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1115With loss 0.1267430099331721
epoch: 1116
Epoch 1116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1116With loss 0.1267430099331721
epoch: 1117
Epoch 1117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1117With loss 0.1267430099331721
epoch: 1118
Epoch 1118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1118With loss 0.1267430099331721
epoch: 1119
Epoch 1119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1119With loss 0.1267430099331721
epoch: 1120
Epoch 1120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1120With loss 0.1267430099331721
epoch: 1121
Epoch 1121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1121With loss 0.1267430099331721
epoch: 1122
Epoch 1122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1122With loss 0.1267430099331721
epoch: 1123
Epoch 1123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1123With loss 0.1267430099331721
epoch: 1124
Epoch 1124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1124With loss 0.1267430099331721
epoch: 1125
Epoch 1125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1125With loss 0.1267430099331721
epoch: 1126
Epoch 1126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1126With loss 0.1267430099331721
epoch: 1127
Epoch 1127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1127With loss 0.1267430099331721
epoch: 1128
Epoch 1128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1128With loss 0.1267430099331721
epoch: 1129
Epoch 1129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1129With loss 0.1267430099331721
epoch: 1130
Epoch 1130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1130With loss 0.1267430099331721
epoch: 1131
Epoch 1131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1131With loss 0.1267430099331721
epoch: 1132
Epoch 1132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1132With loss 0.1267430099331721
epoch: 1133
Epoch 1133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1133With loss 0.1267430099331721
epoch: 1134
Epoch 1134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1134With loss 0.1267430099331721
epoch: 1135
Epoch 1135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1135With loss 0.1267430099331721
epoch: 1136
Epoch 1136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1136With loss 0.1267430099331721
epoch: 1137
Epoch 1137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1137With loss 0.1267430099331721
epoch: 1138
Epoch 1138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1138With loss 0.1267430099331721
epoch: 1139
Epoch 1139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1139With loss 0.1267430099331721
epoch: 1140
Epoch 1140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1140With loss 0.1267430099331721
epoch: 1141
Epoch 1141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1141With loss 0.1267430099331721
epoch: 1142
Epoch 1142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1142With loss 0.1267430099331721
epoch: 1143
Epoch 1143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1143With loss 0.1267430099331721
epoch: 1144
Epoch 1144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1144With loss 0.1267430099331721
epoch: 1145
Epoch 1145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1145With loss 0.1267430099331721
epoch: 1146
Epoch 1146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1146With loss 0.1267430099331721
epoch: 1147
Epoch 1147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1147With loss 0.1267430099331721
epoch: 1148
Epoch 1148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1148With loss 0.1267430099331721
epoch: 1149
Epoch 1149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1149With loss 0.1267430099331721
epoch: 1150
Epoch 1150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1150With loss 0.1267430099331721
epoch: 1151
Epoch 1151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1151With loss 0.1267430099331721
epoch: 1152
Epoch 1152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1152With loss 0.1267430099331721
epoch: 1153
Epoch 1153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1153With loss 0.1267430099331721
epoch: 1154
Epoch 1154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1154With loss 0.1267430099331721
epoch: 1155
Epoch 1155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1155With loss 0.1267430099331721
epoch: 1156
Epoch 1156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1156With loss 0.1267430099331721
epoch: 1157
Epoch 1157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1157With loss 0.1267430099331721
epoch: 1158
Epoch 1158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1158With loss 0.1267430099331721
epoch: 1159
Epoch 1159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1159With loss 0.1267430099331721
epoch: 1160
Epoch 1160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1160With loss 0.1267430099331721
epoch: 1161
Epoch 1161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1161With loss 0.1267430099331721
epoch: 1162
Epoch 1162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1162With loss 0.1267430099331721
epoch: 1163
Epoch 1163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1163With loss 0.1267430099331721
epoch: 1164
Epoch 1164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1164With loss 0.1267430099331721
epoch: 1165
Epoch 1165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1165With loss 0.1267430099331721
epoch: 1166
Epoch 1166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1166With loss 0.1267430099331721
epoch: 1167
Epoch 1167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1167With loss 0.1267430099331721
epoch: 1168
Epoch 1168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1168With loss 0.1267430099331721
epoch: 1169
Epoch 1169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1169With loss 0.1267430099331721
epoch: 1170
Epoch 1170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1170With loss 0.1267430099331721
epoch: 1171
Epoch 1171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1171With loss 0.1267430099331721
epoch: 1172
Epoch 1172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1172With loss 0.1267430099331721
epoch: 1173
Epoch 1173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1173With loss 0.1267430099331721
epoch: 1174
Epoch 1174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1174With loss 0.1267430099331721
epoch: 1175
Epoch 1175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1175With loss 0.1267430099331721
epoch: 1176
Epoch 1176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1176With loss 0.1267430099331721
epoch: 1177
Epoch 1177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1177With loss 0.1267430099331721
epoch: 1178
Epoch 1178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1178With loss 0.1267430099331721
epoch: 1179
Epoch 1179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1179With loss 0.1267430099331721
epoch: 1180
Epoch 1180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1180With loss 0.1267430099331721
epoch: 1181
Epoch 1181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1181With loss 0.1267430099331721
epoch: 1182
Epoch 1182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1182With loss 0.1267430099331721
epoch: 1183
Epoch 1183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1183With loss 0.1267430099331721
epoch: 1184
Epoch 1184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1184With loss 0.1267430099331721
epoch: 1185
Epoch 1185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1185With loss 0.1267430099331721
epoch: 1186
Epoch 1186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1186With loss 0.1267430099331721
epoch: 1187
Epoch 1187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1187With loss 0.1267430099331721
epoch: 1188
Epoch 1188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1188With loss 0.1267430099331721
epoch: 1189
Epoch 1189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1189With loss 0.1267430099331721
epoch: 1190
Epoch 1190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1190With loss 0.1267430099331721
epoch: 1191
Epoch 1191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1191With loss 0.1267430099331721
epoch: 1192
Epoch 1192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1192With loss 0.1267430099331721
epoch: 1193
Epoch 1193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1193With loss 0.1267430099331721
epoch: 1194
Epoch 1194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1194With loss 0.1267430099331721
epoch: 1195
Epoch 1195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1195With loss 0.1267430099331721
epoch: 1196
Epoch 1196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1196With loss 0.1267430099331721
epoch: 1197
Epoch 1197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1197With loss 0.1267430099331721
epoch: 1198
Epoch 1198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1198With loss 0.1267430099331721
epoch: 1199
Epoch 1199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1199With loss 0.1267430099331721
epoch: 1200
Epoch 1200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1200With loss 0.1267430099331721
epoch: 1201
Epoch 1201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1201With loss 0.1267430099331721
epoch: 1202
Epoch 1202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1202With loss 0.1267430099331721
epoch: 1203
Epoch 1203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1203With loss 0.1267430099331721
epoch: 1204
Epoch 1204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1204With loss 0.1267430099331721
epoch: 1205
Epoch 1205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1205With loss 0.1267430099331721
epoch: 1206
Epoch 1206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1206With loss 0.1267430099331721
epoch: 1207
Epoch 1207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1207With loss 0.1267430099331721
epoch: 1208
Epoch 1208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1208With loss 0.1267430099331721
epoch: 1209
Epoch 1209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1209With loss 0.1267430099331721
epoch: 1210
Epoch 1210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1210With loss 0.1267430099331721
epoch: 1211
Epoch 1211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1211With loss 0.1267430099331721
epoch: 1212
Epoch 1212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1212With loss 0.1267430099331721
epoch: 1213
Epoch 1213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1213With loss 0.1267430099331721
epoch: 1214
Epoch 1214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1214With loss 0.1267430099331721
epoch: 1215
Epoch 1215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1215With loss 0.1267430099331721
epoch: 1216
Epoch 1216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1216With loss 0.1267430099331721
epoch: 1217
Epoch 1217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1217With loss 0.1267430099331721
epoch: 1218
Epoch 1218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1218With loss 0.1267430099331721
epoch: 1219
Epoch 1219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1219With loss 0.1267430099331721
epoch: 1220
Epoch 1220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1220With loss 0.1267430099331721
epoch: 1221
Epoch 1221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1221With loss 0.1267430099331721
epoch: 1222
Epoch 1222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1222With loss 0.1267430099331721
epoch: 1223
Epoch 1223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1223With loss 0.1267430099331721
epoch: 1224
Epoch 1224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1224With loss 0.1267430099331721
epoch: 1225
Epoch 1225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1225With loss 0.1267430099331721
epoch: 1226
Epoch 1226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1226With loss 0.1267430099331721
epoch: 1227
Epoch 1227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1227With loss 0.1267430099331721
epoch: 1228
Epoch 1228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1228With loss 0.1267430099331721
epoch: 1229
Epoch 1229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1229With loss 0.1267430099331721
epoch: 1230
Epoch 1230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1230With loss 0.1267430099331721
epoch: 1231
Epoch 1231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1231With loss 0.1267430099331721
epoch: 1232
Epoch 1232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1232With loss 0.1267430099331721
epoch: 1233
Epoch 1233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1233With loss 0.1267430099331721
epoch: 1234
Epoch 1234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1234With loss 0.1267430099331721
epoch: 1235
Epoch 1235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1235With loss 0.1267430099331721
epoch: 1236
Epoch 1236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1236With loss 0.1267430099331721
epoch: 1237
Epoch 1237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1237With loss 0.1267430099331721
epoch: 1238
Epoch 1238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1238With loss 0.1267430099331721
epoch: 1239
Epoch 1239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1239With loss 0.1267430099331721
epoch: 1240
Epoch 1240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1240With loss 0.1267430099331721
epoch: 1241
Epoch 1241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1241With loss 0.1267430099331721
epoch: 1242
Epoch 1242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1242With loss 0.1267430099331721
epoch: 1243
Epoch 1243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1243With loss 0.1267430099331721
epoch: 1244
Epoch 1244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1244With loss 0.1267430099331721
epoch: 1245
Epoch 1245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1245With loss 0.1267430099331721
epoch: 1246
Epoch 1246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1246With loss 0.1267430099331721
epoch: 1247
Epoch 1247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1247With loss 0.1267430099331721
epoch: 1248
Epoch 1248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1248With loss 0.1267430099331721
epoch: 1249
Epoch 1249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1249With loss 0.1267430099331721
epoch: 1250
Epoch 1250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1250With loss 0.1267430099331721
epoch: 1251
Epoch 1251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1251With loss 0.1267430099331721
epoch: 1252
Epoch 1252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1252With loss 0.1267430099331721
epoch: 1253
Epoch 1253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1253With loss 0.1267430099331721
epoch: 1254
Epoch 1254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1254With loss 0.1267430099331721
epoch: 1255
Epoch 1255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1255With loss 0.1267430099331721
epoch: 1256
Epoch 1256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1256With loss 0.1267430099331721
epoch: 1257
Epoch 1257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1257With loss 0.1267430099331721
epoch: 1258
Epoch 1258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1258With loss 0.1267430099331721
epoch: 1259
Epoch 1259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1259With loss 0.1267430099331721
epoch: 1260
Epoch 1260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1260With loss 0.1267430099331721
epoch: 1261
Epoch 1261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1261With loss 0.1267430099331721
epoch: 1262
Epoch 1262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1262With loss 0.1267430099331721
epoch: 1263
Epoch 1263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1263With loss 0.1267430099331721
epoch: 1264
Epoch 1264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1264With loss 0.1267430099331721
epoch: 1265
Epoch 1265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1265With loss 0.1267430099331721
epoch: 1266
Epoch 1266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1266With loss 0.1267430099331721
epoch: 1267
Epoch 1267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1267With loss 0.1267430099331721
epoch: 1268
Epoch 1268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1268With loss 0.1267430099331721
epoch: 1269
Epoch 1269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1269With loss 0.1267430099331721
epoch: 1270
Epoch 1270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1270With loss 0.1267430099331721
epoch: 1271
Epoch 1271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1271With loss 0.1267430099331721
epoch: 1272
Epoch 1272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1272With loss 0.1267430099331721
epoch: 1273
Epoch 1273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1273With loss 0.1267430099331721
epoch: 1274
Epoch 1274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1274With loss 0.1267430099331721
epoch: 1275
Epoch 1275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1275With loss 0.1267430099331721
epoch: 1276
Epoch 1276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1276With loss 0.1267430099331721
epoch: 1277
Epoch 1277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1277With loss 0.1267430099331721
epoch: 1278
Epoch 1278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1278With loss 0.1267430099331721
epoch: 1279
Epoch 1279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1279With loss 0.1267430099331721
epoch: 1280
Epoch 1280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1280With loss 0.1267430099331721
epoch: 1281
Epoch 1281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1281With loss 0.1267430099331721
epoch: 1282
Epoch 1282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1282With loss 0.1267430099331721
epoch: 1283
Epoch 1283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1283With loss 0.1267430099331721
epoch: 1284
Epoch 1284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1284With loss 0.1267430099331721
epoch: 1285
Epoch 1285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1285With loss 0.1267430099331721
epoch: 1286
Epoch 1286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1286With loss 0.1267430099331721
epoch: 1287
Epoch 1287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1287With loss 0.1267430099331721
epoch: 1288
Epoch 1288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1288With loss 0.1267430099331721
epoch: 1289
Epoch 1289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1289With loss 0.1267430099331721
epoch: 1290
Epoch 1290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1290With loss 0.1267430099331721
epoch: 1291
Epoch 1291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1291With loss 0.1267430099331721
epoch: 1292
Epoch 1292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1292With loss 0.1267430099331721
epoch: 1293
Epoch 1293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1293With loss 0.1267430099331721
epoch: 1294
Epoch 1294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1294With loss 0.1267430099331721
epoch: 1295
Epoch 1295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1295With loss 0.1267430099331721
epoch: 1296
Epoch 1296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1296With loss 0.1267430099331721
epoch: 1297
Epoch 1297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1297With loss 0.1267430099331721
epoch: 1298
Epoch 1298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1298With loss 0.1267430099331721
epoch: 1299
Epoch 1299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1299With loss 0.1267430099331721
epoch: 1300
Epoch 1300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1300With loss 0.1267430099331721
epoch: 1301
Epoch 1301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1301With loss 0.1267430099331721
epoch: 1302
Epoch 1302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1302With loss 0.1267430099331721
epoch: 1303
Epoch 1303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1303With loss 0.1267430099331721
epoch: 1304
Epoch 1304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1304With loss 0.1267430099331721
epoch: 1305
Epoch 1305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1305With loss 0.1267430099331721
epoch: 1306
Epoch 1306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1306With loss 0.1267430099331721
epoch: 1307
Epoch 1307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1307With loss 0.1267430099331721
epoch: 1308
Epoch 1308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1308With loss 0.1267430099331721
epoch: 1309
Epoch 1309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1309With loss 0.1267430099331721
epoch: 1310
Epoch 1310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1310With loss 0.1267430099331721
epoch: 1311
Epoch 1311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1311With loss 0.1267430099331721
epoch: 1312
Epoch 1312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1312With loss 0.1267430099331721
epoch: 1313
Epoch 1313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1313With loss 0.1267430099331721
epoch: 1314
Epoch 1314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1314With loss 0.1267430099331721
epoch: 1315
Epoch 1315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1315With loss 0.1267430099331721
epoch: 1316
Epoch 1316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1316With loss 0.1267430099331721
epoch: 1317
Epoch 1317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1317With loss 0.1267430099331721
epoch: 1318
Epoch 1318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1318With loss 0.1267430099331721
epoch: 1319
Epoch 1319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1319With loss 0.1267430099331721
epoch: 1320
Epoch 1320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1320With loss 0.1267430099331721
epoch: 1321
Epoch 1321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1321With loss 0.1267430099331721
epoch: 1322
Epoch 1322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1322With loss 0.1267430099331721
epoch: 1323
Epoch 1323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1323With loss 0.1267430099331721
epoch: 1324
Epoch 1324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1324With loss 0.1267430099331721
epoch: 1325
Epoch 1325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1325With loss 0.1267430099331721
epoch: 1326
Epoch 1326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1326With loss 0.1267430099331721
epoch: 1327
Epoch 1327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1327With loss 0.1267430099331721
epoch: 1328
Epoch 1328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1328With loss 0.1267430099331721
epoch: 1329
Epoch 1329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1329With loss 0.1267430099331721
epoch: 1330
Epoch 1330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1330With loss 0.1267430099331721
epoch: 1331
Epoch 1331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1331With loss 0.1267430099331721
epoch: 1332
Epoch 1332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1332With loss 0.1267430099331721
epoch: 1333
Epoch 1333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1333With loss 0.1267430099331721
epoch: 1334
Epoch 1334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1334With loss 0.1267430099331721
epoch: 1335
Epoch 1335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1335With loss 0.1267430099331721
epoch: 1336
Epoch 1336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1336With loss 0.1267430099331721
epoch: 1337
Epoch 1337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1337With loss 0.1267430099331721
epoch: 1338
Epoch 1338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1338With loss 0.1267430099331721
epoch: 1339
Epoch 1339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1339With loss 0.1267430099331721
epoch: 1340
Epoch 1340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1340With loss 0.1267430099331721
epoch: 1341
Epoch 1341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1341With loss 0.1267430099331721
epoch: 1342
Epoch 1342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1342With loss 0.1267430099331721
epoch: 1343
Epoch 1343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1343With loss 0.1267430099331721
epoch: 1344
Epoch 1344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1344With loss 0.1267430099331721
epoch: 1345
Epoch 1345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1345With loss 0.1267430099331721
epoch: 1346
Epoch 1346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1346With loss 0.1267430099331721
epoch: 1347
Epoch 1347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1347With loss 0.1267430099331721
epoch: 1348
Epoch 1348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1348With loss 0.1267430099331721
epoch: 1349
Epoch 1349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1349With loss 0.1267430099331721
epoch: 1350
Epoch 1350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1350With loss 0.1267430099331721
epoch: 1351
Epoch 1351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1351With loss 0.1267430099331721
epoch: 1352
Epoch 1352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1352With loss 0.1267430099331721
epoch: 1353
Epoch 1353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1353With loss 0.1267430099331721
epoch: 1354
Epoch 1354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1354With loss 0.1267430099331721
epoch: 1355
Epoch 1355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1355With loss 0.1267430099331721
epoch: 1356
Epoch 1356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1356With loss 0.1267430099331721
epoch: 1357
Epoch 1357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1357With loss 0.1267430099331721
epoch: 1358
Epoch 1358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1358With loss 0.1267430099331721
epoch: 1359
Epoch 1359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1359With loss 0.1267430099331721
epoch: 1360
Epoch 1360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1360With loss 0.1267430099331721
epoch: 1361
Epoch 1361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1361With loss 0.1267430099331721
epoch: 1362
Epoch 1362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1362With loss 0.1267430099331721
epoch: 1363
Epoch 1363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1363With loss 0.1267430099331721
epoch: 1364
Epoch 1364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1364With loss 0.1267430099331721
epoch: 1365
Epoch 1365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1365With loss 0.1267430099331721
epoch: 1366
Epoch 1366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1366With loss 0.1267430099331721
epoch: 1367
Epoch 1367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1367With loss 0.1267430099331721
epoch: 1368
Epoch 1368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1368With loss 0.1267430099331721
epoch: 1369
Epoch 1369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1369With loss 0.1267430099331721
epoch: 1370
Epoch 1370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1370With loss 0.1267430099331721
epoch: 1371
Epoch 1371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1371With loss 0.1267430099331721
epoch: 1372
Epoch 1372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1372With loss 0.1267430099331721
epoch: 1373
Epoch 1373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1373With loss 0.1267430099331721
epoch: 1374
Epoch 1374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1374With loss 0.1267430099331721
epoch: 1375
Epoch 1375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1375With loss 0.1267430099331721
epoch: 1376
Epoch 1376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1376With loss 0.1267430099331721
epoch: 1377
Epoch 1377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1377With loss 0.1267430099331721
epoch: 1378
Epoch 1378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1378With loss 0.1267430099331721
epoch: 1379
Epoch 1379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1379With loss 0.1267430099331721
epoch: 1380
Epoch 1380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1380With loss 0.1267430099331721
epoch: 1381
Epoch 1381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1381With loss 0.1267430099331721
epoch: 1382
Epoch 1382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1382With loss 0.1267430099331721
epoch: 1383
Epoch 1383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1383With loss 0.1267430099331721
epoch: 1384
Epoch 1384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1384With loss 0.1267430099331721
epoch: 1385
Epoch 1385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1385With loss 0.1267430099331721
epoch: 1386
Epoch 1386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1386With loss 0.1267430099331721
epoch: 1387
Epoch 1387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1387With loss 0.1267430099331721
epoch: 1388
Epoch 1388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1388With loss 0.1267430099331721
epoch: 1389
Epoch 1389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1389With loss 0.1267430099331721
epoch: 1390
Epoch 1390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1390With loss 0.1267430099331721
epoch: 1391
Epoch 1391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1391With loss 0.1267430099331721
epoch: 1392
Epoch 1392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1392With loss 0.1267430099331721
epoch: 1393
Epoch 1393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1393With loss 0.1267430099331721
epoch: 1394
Epoch 1394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1394With loss 0.1267430099331721
epoch: 1395
Epoch 1395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1395With loss 0.1267430099331721
epoch: 1396
Epoch 1396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1396With loss 0.1267430099331721
epoch: 1397
Epoch 1397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1397With loss 0.1267430099331721
epoch: 1398
Epoch 1398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1398With loss 0.1267430099331721
epoch: 1399
Epoch 1399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1399With loss 0.1267430099331721
epoch: 1400
Epoch 1400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1400With loss 0.1267430099331721
epoch: 1401
Epoch 1401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1401With loss 0.1267430099331721
epoch: 1402
Epoch 1402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1402With loss 0.1267430099331721
epoch: 1403
Epoch 1403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1403With loss 0.1267430099331721
epoch: 1404
Epoch 1404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1404With loss 0.1267430099331721
epoch: 1405
Epoch 1405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1405With loss 0.1267430099331721
epoch: 1406
Epoch 1406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1406With loss 0.1267430099331721
epoch: 1407
Epoch 1407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1407With loss 0.1267430099331721
epoch: 1408
Epoch 1408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1408With loss 0.1267430099331721
epoch: 1409
Epoch 1409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1409With loss 0.1267430099331721
epoch: 1410
Epoch 1410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1410With loss 0.1267430099331721
epoch: 1411
Epoch 1411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1411With loss 0.1267430099331721
epoch: 1412
Epoch 1412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1412With loss 0.1267430099331721
epoch: 1413
Epoch 1413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1413With loss 0.1267430099331721
epoch: 1414
Epoch 1414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1414With loss 0.1267430099331721
epoch: 1415
Epoch 1415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1415With loss 0.1267430099331721
epoch: 1416
Epoch 1416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1416With loss 0.1267430099331721
epoch: 1417
Epoch 1417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1417With loss 0.1267430099331721
epoch: 1418
Epoch 1418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1418With loss 0.1267430099331721
epoch: 1419
Epoch 1419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1419With loss 0.1267430099331721
epoch: 1420
Epoch 1420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1420With loss 0.1267430099331721
epoch: 1421
Epoch 1421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1421With loss 0.1267430099331721
epoch: 1422
Epoch 1422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1422With loss 0.1267430099331721
epoch: 1423
Epoch 1423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1423With loss 0.1267430099331721
epoch: 1424
Epoch 1424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1424With loss 0.1267430099331721
epoch: 1425
Epoch 1425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1425With loss 0.1267430099331721
epoch: 1426
Epoch 1426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1426With loss 0.1267430099331721
epoch: 1427
Epoch 1427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1427With loss 0.1267430099331721
epoch: 1428
Epoch 1428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1428With loss 0.1267430099331721
epoch: 1429
Epoch 1429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1429With loss 0.1267430099331721
epoch: 1430
Epoch 1430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1430With loss 0.1267430099331721
epoch: 1431
Epoch 1431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1431With loss 0.1267430099331721
epoch: 1432
Epoch 1432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1432With loss 0.1267430099331721
epoch: 1433
Epoch 1433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1433With loss 0.1267430099331721
epoch: 1434
Epoch 1434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1434With loss 0.1267430099331721
epoch: 1435
Epoch 1435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1435With loss 0.1267430099331721
epoch: 1436
Epoch 1436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1436With loss 0.1267430099331721
epoch: 1437
Epoch 1437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1437With loss 0.1267430099331721
epoch: 1438
Epoch 1438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1438With loss 0.1267430099331721
epoch: 1439
Epoch 1439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1439With loss 0.1267430099331721
epoch: 1440
Epoch 1440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1440With loss 0.1267430099331721
epoch: 1441
Epoch 1441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1441With loss 0.1267430099331721
epoch: 1442
Epoch 1442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1442With loss 0.1267430099331721
epoch: 1443
Epoch 1443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1443With loss 0.1267430099331721
epoch: 1444
Epoch 1444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1444With loss 0.1267430099331721
epoch: 1445
Epoch 1445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1445With loss 0.1267430099331721
epoch: 1446
Epoch 1446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1446With loss 0.1267430099331721
epoch: 1447
Epoch 1447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1447With loss 0.1267430099331721
epoch: 1448
Epoch 1448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1448With loss 0.1267430099331721
epoch: 1449
Epoch 1449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1449With loss 0.1267430099331721
epoch: 1450
Epoch 1450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1450With loss 0.1267430099331721
epoch: 1451
Epoch 1451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1451With loss 0.1267430099331721
epoch: 1452
Epoch 1452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1452With loss 0.1267430099331721
epoch: 1453
Epoch 1453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1453With loss 0.1267430099331721
epoch: 1454
Epoch 1454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1454With loss 0.1267430099331721
epoch: 1455
Epoch 1455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1455With loss 0.1267430099331721
epoch: 1456
Epoch 1456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1456With loss 0.1267430099331721
epoch: 1457
Epoch 1457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1457With loss 0.1267430099331721
epoch: 1458
Epoch 1458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1458With loss 0.1267430099331721
epoch: 1459
Epoch 1459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1459With loss 0.1267430099331721
epoch: 1460
Epoch 1460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1460With loss 0.1267430099331721
epoch: 1461
Epoch 1461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1461With loss 0.1267430099331721
epoch: 1462
Epoch 1462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1462With loss 0.1267430099331721
epoch: 1463
Epoch 1463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1463With loss 0.1267430099331721
epoch: 1464
Epoch 1464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1464With loss 0.1267430099331721
epoch: 1465
Epoch 1465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1465With loss 0.1267430099331721
epoch: 1466
Epoch 1466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1466With loss 0.1267430099331721
epoch: 1467
Epoch 1467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1467With loss 0.1267430099331721
epoch: 1468
Epoch 1468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1468With loss 0.1267430099331721
epoch: 1469
Epoch 1469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1469With loss 0.1267430099331721
epoch: 1470
Epoch 1470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1470With loss 0.1267430099331721
epoch: 1471
Epoch 1471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1471With loss 0.1267430099331721
epoch: 1472
Epoch 1472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1472With loss 0.1267430099331721
epoch: 1473
Epoch 1473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1473With loss 0.1267430099331721
epoch: 1474
Epoch 1474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1474With loss 0.1267430099331721
epoch: 1475
Epoch 1475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1475With loss 0.1267430099331721
epoch: 1476
Epoch 1476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1476With loss 0.1267430099331721
epoch: 1477
Epoch 1477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1477With loss 0.1267430099331721
epoch: 1478
Epoch 1478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1478With loss 0.1267430099331721
epoch: 1479
Epoch 1479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1479With loss 0.1267430099331721
epoch: 1480
Epoch 1480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1480With loss 0.1267430099331721
epoch: 1481
Epoch 1481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1481With loss 0.1267430099331721
epoch: 1482
Epoch 1482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1482With loss 0.1267430099331721
epoch: 1483
Epoch 1483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1483With loss 0.1267430099331721
epoch: 1484
Epoch 1484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1484With loss 0.1267430099331721
epoch: 1485
Epoch 1485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1485With loss 0.1267430099331721
epoch: 1486
Epoch 1486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1486With loss 0.1267430099331721
epoch: 1487
Epoch 1487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1487With loss 0.1267430099331721
epoch: 1488
Epoch 1488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1488With loss 0.1267430099331721
epoch: 1489
Epoch 1489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1489With loss 0.1267430099331721
epoch: 1490
Epoch 1490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1490With loss 0.1267430099331721
epoch: 1491
Epoch 1491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1491With loss 0.1267430099331721
epoch: 1492
Epoch 1492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1492With loss 0.1267430099331721
epoch: 1493
Epoch 1493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1493With loss 0.1267430099331721
epoch: 1494
Epoch 1494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1494With loss 0.1267430099331721
epoch: 1495
Epoch 1495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1495With loss 0.1267430099331721
epoch: 1496
Epoch 1496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1496With loss 0.1267430099331721
epoch: 1497
Epoch 1497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1497With loss 0.1267430099331721
epoch: 1498
Epoch 1498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1498With loss 0.1267430099331721
epoch: 1499
Epoch 1499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1499With loss 0.1267430099331721
epoch: 1500
Epoch 1500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1500With loss 0.1267430099331721
epoch: 1501
Epoch 1501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1501With loss 0.1267430099331721
epoch: 1502
Epoch 1502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1502With loss 0.1267430099331721
epoch: 1503
Epoch 1503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1503With loss 0.1267430099331721
epoch: 1504
Epoch 1504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1504With loss 0.1267430099331721
epoch: 1505
Epoch 1505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1505With loss 0.1267430099331721
epoch: 1506
Epoch 1506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1506With loss 0.1267430099331721
epoch: 1507
Epoch 1507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1507With loss 0.1267430099331721
epoch: 1508
Epoch 1508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1508With loss 0.1267430099331721
epoch: 1509
Epoch 1509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1509With loss 0.1267430099331721
epoch: 1510
Epoch 1510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1510With loss 0.1267430099331721
epoch: 1511
Epoch 1511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1511With loss 0.1267430099331721
epoch: 1512
Epoch 1512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1512With loss 0.1267430099331721
epoch: 1513
Epoch 1513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1513With loss 0.1267430099331721
epoch: 1514
Epoch 1514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1514With loss 0.1267430099331721
epoch: 1515
Epoch 1515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1515With loss 0.1267430099331721
epoch: 1516
Epoch 1516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1516With loss 0.1267430099331721
epoch: 1517
Epoch 1517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1517With loss 0.1267430099331721
epoch: 1518
Epoch 1518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1518With loss 0.1267430099331721
epoch: 1519
Epoch 1519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1519With loss 0.1267430099331721
epoch: 1520
Epoch 1520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1520With loss 0.1267430099331721
epoch: 1521
Epoch 1521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1521With loss 0.1267430099331721
epoch: 1522
Epoch 1522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1522With loss 0.1267430099331721
epoch: 1523
Epoch 1523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1523With loss 0.1267430099331721
epoch: 1524
Epoch 1524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1524With loss 0.1267430099331721
epoch: 1525
Epoch 1525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1525With loss 0.1267430099331721
epoch: 1526
Epoch 1526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1526With loss 0.1267430099331721
epoch: 1527
Epoch 1527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1527With loss 0.1267430099331721
epoch: 1528
Epoch 1528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1528With loss 0.1267430099331721
epoch: 1529
Epoch 1529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1529With loss 0.1267430099331721
epoch: 1530
Epoch 1530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1530With loss 0.1267430099331721
epoch: 1531
Epoch 1531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1531With loss 0.1267430099331721
epoch: 1532
Epoch 1532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1532With loss 0.1267430099331721
epoch: 1533
Epoch 1533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1533With loss 0.1267430099331721
epoch: 1534
Epoch 1534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1534With loss 0.1267430099331721
epoch: 1535
Epoch 1535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1535With loss 0.1267430099331721
epoch: 1536
Epoch 1536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1536With loss 0.1267430099331721
epoch: 1537
Epoch 1537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1537With loss 0.1267430099331721
epoch: 1538
Epoch 1538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1538With loss 0.1267430099331721
epoch: 1539
Epoch 1539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1539With loss 0.1267430099331721
epoch: 1540
Epoch 1540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1540With loss 0.1267430099331721
epoch: 1541
Epoch 1541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1541With loss 0.1267430099331721
epoch: 1542
Epoch 1542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1542With loss 0.1267430099331721
epoch: 1543
Epoch 1543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1543With loss 0.1267430099331721
epoch: 1544
Epoch 1544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1544With loss 0.1267430099331721
epoch: 1545
Epoch 1545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1545With loss 0.1267430099331721
epoch: 1546
Epoch 1546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1546With loss 0.1267430099331721
epoch: 1547
Epoch 1547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1547With loss 0.1267430099331721
epoch: 1548
Epoch 1548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1548With loss 0.1267430099331721
epoch: 1549
Epoch 1549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1549With loss 0.1267430099331721
epoch: 1550
Epoch 1550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1550With loss 0.1267430099331721
epoch: 1551
Epoch 1551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1551With loss 0.1267430099331721
epoch: 1552
Epoch 1552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1552With loss 0.1267430099331721
epoch: 1553
Epoch 1553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1553With loss 0.1267430099331721
epoch: 1554
Epoch 1554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1554With loss 0.1267430099331721
epoch: 1555
Epoch 1555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1555With loss 0.1267430099331721
epoch: 1556
Epoch 1556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1556With loss 0.1267430099331721
epoch: 1557
Epoch 1557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1557With loss 0.1267430099331721
epoch: 1558
Epoch 1558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1558With loss 0.1267430099331721
epoch: 1559
Epoch 1559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1559With loss 0.1267430099331721
epoch: 1560
Epoch 1560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1560With loss 0.1267430099331721
epoch: 1561
Epoch 1561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1561With loss 0.1267430099331721
epoch: 1562
Epoch 1562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1562With loss 0.1267430099331721
epoch: 1563
Epoch 1563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1563With loss 0.1267430099331721
epoch: 1564
Epoch 1564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1564With loss 0.1267430099331721
epoch: 1565
Epoch 1565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1565With loss 0.1267430099331721
epoch: 1566
Epoch 1566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1566With loss 0.1267430099331721
epoch: 1567
Epoch 1567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1567With loss 0.1267430099331721
epoch: 1568
Epoch 1568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1568With loss 0.1267430099331721
epoch: 1569
Epoch 1569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1569With loss 0.1267430099331721
epoch: 1570
Epoch 1570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1570With loss 0.1267430099331721
epoch: 1571
Epoch 1571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1571With loss 0.1267430099331721
epoch: 1572
Epoch 1572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1572With loss 0.1267430099331721
epoch: 1573
Epoch 1573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1573With loss 0.1267430099331721
epoch: 1574
Epoch 1574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1574With loss 0.1267430099331721
epoch: 1575
Epoch 1575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1575With loss 0.1267430099331721
epoch: 1576
Epoch 1576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1576With loss 0.1267430099331721
epoch: 1577
Epoch 1577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1577With loss 0.1267430099331721
epoch: 1578
Epoch 1578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1578With loss 0.1267430099331721
epoch: 1579
Epoch 1579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1579With loss 0.1267430099331721
epoch: 1580
Epoch 1580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1580With loss 0.1267430099331721
epoch: 1581
Epoch 1581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1581With loss 0.1267430099331721
epoch: 1582
Epoch 1582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1582With loss 0.1267430099331721
epoch: 1583
Epoch 1583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1583With loss 0.1267430099331721
epoch: 1584
Epoch 1584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1584With loss 0.1267430099331721
epoch: 1585
Epoch 1585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1585With loss 0.1267430099331721
epoch: 1586
Epoch 1586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1586With loss 0.1267430099331721
epoch: 1587
Epoch 1587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1587With loss 0.1267430099331721
epoch: 1588
Epoch 1588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1588With loss 0.1267430099331721
epoch: 1589
Epoch 1589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1589With loss 0.1267430099331721
epoch: 1590
Epoch 1590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1590With loss 0.1267430099331721
epoch: 1591
Epoch 1591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1591With loss 0.1267430099331721
epoch: 1592
Epoch 1592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1592With loss 0.1267430099331721
epoch: 1593
Epoch 1593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1593With loss 0.1267430099331721
epoch: 1594
Epoch 1594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1594With loss 0.1267430099331721
epoch: 1595
Epoch 1595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1595With loss 0.1267430099331721
epoch: 1596
Epoch 1596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1596With loss 0.1267430099331721
epoch: 1597
Epoch 1597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1597With loss 0.1267430099331721
epoch: 1598
Epoch 1598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1598With loss 0.1267430099331721
epoch: 1599
Epoch 1599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1599With loss 0.1267430099331721
epoch: 1600
Epoch 1600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1600With loss 0.1267430099331721
epoch: 1601
Epoch 1601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1601With loss 0.1267430099331721
epoch: 1602
Epoch 1602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1602With loss 0.1267430099331721
epoch: 1603
Epoch 1603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1603With loss 0.1267430099331721
epoch: 1604
Epoch 1604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1604With loss 0.1267430099331721
epoch: 1605
Epoch 1605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1605With loss 0.1267430099331721
epoch: 1606
Epoch 1606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1606With loss 0.1267430099331721
epoch: 1607
Epoch 1607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1607With loss 0.1267430099331721
epoch: 1608
Epoch 1608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1608With loss 0.1267430099331721
epoch: 1609
Epoch 1609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1609With loss 0.1267430099331721
epoch: 1610
Epoch 1610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1610With loss 0.1267430099331721
epoch: 1611
Epoch 1611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1611With loss 0.1267430099331721
epoch: 1612
Epoch 1612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1612With loss 0.1267430099331721
epoch: 1613
Epoch 1613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1613With loss 0.1267430099331721
epoch: 1614
Epoch 1614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1614With loss 0.1267430099331721
epoch: 1615
Epoch 1615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1615With loss 0.1267430099331721
epoch: 1616
Epoch 1616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1616With loss 0.1267430099331721
epoch: 1617
Epoch 1617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1617With loss 0.1267430099331721
epoch: 1618
Epoch 1618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1618With loss 0.1267430099331721
epoch: 1619
Epoch 1619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1619With loss 0.1267430099331721
epoch: 1620
Epoch 1620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1620With loss 0.1267430099331721
epoch: 1621
Epoch 1621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1621With loss 0.1267430099331721
epoch: 1622
Epoch 1622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1622With loss 0.1267430099331721
epoch: 1623
Epoch 1623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1623With loss 0.1267430099331721
epoch: 1624
Epoch 1624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1624With loss 0.1267430099331721
epoch: 1625
Epoch 1625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1625With loss 0.1267430099331721
epoch: 1626
Epoch 1626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1626With loss 0.1267430099331721
epoch: 1627
Epoch 1627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1627With loss 0.1267430099331721
epoch: 1628
Epoch 1628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1628With loss 0.1267430099331721
epoch: 1629
Epoch 1629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1629With loss 0.1267430099331721
epoch: 1630
Epoch 1630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1630With loss 0.1267430099331721
epoch: 1631
Epoch 1631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1631With loss 0.1267430099331721
epoch: 1632
Epoch 1632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1632With loss 0.1267430099331721
epoch: 1633
Epoch 1633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1633With loss 0.1267430099331721
epoch: 1634
Epoch 1634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1634With loss 0.1267430099331721
epoch: 1635
Epoch 1635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1635With loss 0.1267430099331721
epoch: 1636
Epoch 1636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1636With loss 0.1267430099331721
epoch: 1637
Epoch 1637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1637With loss 0.1267430099331721
epoch: 1638
Epoch 1638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1638With loss 0.1267430099331721
epoch: 1639
Epoch 1639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1639With loss 0.1267430099331721
epoch: 1640
Epoch 1640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1640With loss 0.1267430099331721
epoch: 1641
Epoch 1641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1641With loss 0.1267430099331721
epoch: 1642
Epoch 1642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1642With loss 0.1267430099331721
epoch: 1643
Epoch 1643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1643With loss 0.1267430099331721
epoch: 1644
Epoch 1644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1644With loss 0.1267430099331721
epoch: 1645
Epoch 1645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1645With loss 0.1267430099331721
epoch: 1646
Epoch 1646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1646With loss 0.1267430099331721
epoch: 1647
Epoch 1647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1647With loss 0.1267430099331721
epoch: 1648
Epoch 1648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1648With loss 0.1267430099331721
epoch: 1649
Epoch 1649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1649With loss 0.1267430099331721
epoch: 1650
Epoch 1650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1650With loss 0.1267430099331721
epoch: 1651
Epoch 1651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1651With loss 0.1267430099331721
epoch: 1652
Epoch 1652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1652With loss 0.1267430099331721
epoch: 1653
Epoch 1653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1653With loss 0.1267430099331721
epoch: 1654
Epoch 1654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1654With loss 0.1267430099331721
epoch: 1655
Epoch 1655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1655With loss 0.1267430099331721
epoch: 1656
Epoch 1656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1656With loss 0.1267430099331721
epoch: 1657
Epoch 1657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1657With loss 0.1267430099331721
epoch: 1658
Epoch 1658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1658With loss 0.1267430099331721
epoch: 1659
Epoch 1659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1659With loss 0.1267430099331721
epoch: 1660
Epoch 1660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1660With loss 0.1267430099331721
epoch: 1661
Epoch 1661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1661With loss 0.1267430099331721
epoch: 1662
Epoch 1662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1662With loss 0.1267430099331721
epoch: 1663
Epoch 1663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1663With loss 0.1267430099331721
epoch: 1664
Epoch 1664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1664With loss 0.1267430099331721
epoch: 1665
Epoch 1665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1665With loss 0.1267430099331721
epoch: 1666
Epoch 1666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1666With loss 0.1267430099331721
epoch: 1667
Epoch 1667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1667With loss 0.1267430099331721
epoch: 1668
Epoch 1668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1668With loss 0.1267430099331721
epoch: 1669
Epoch 1669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1669With loss 0.1267430099331721
epoch: 1670
Epoch 1670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1670With loss 0.1267430099331721
epoch: 1671
Epoch 1671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1671With loss 0.1267430099331721
epoch: 1672
Epoch 1672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1672With loss 0.1267430099331721
epoch: 1673
Epoch 1673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1673With loss 0.1267430099331721
epoch: 1674
Epoch 1674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1674With loss 0.1267430099331721
epoch: 1675
Epoch 1675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1675With loss 0.1267430099331721
epoch: 1676
Epoch 1676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1676With loss 0.1267430099331721
epoch: 1677
Epoch 1677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1677With loss 0.1267430099331721
epoch: 1678
Epoch 1678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1678With loss 0.1267430099331721
epoch: 1679
Epoch 1679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1679With loss 0.1267430099331721
epoch: 1680
Epoch 1680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1680With loss 0.1267430099331721
epoch: 1681
Epoch 1681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1681With loss 0.1267430099331721
epoch: 1682
Epoch 1682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1682With loss 0.1267430099331721
epoch: 1683
Epoch 1683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1683With loss 0.1267430099331721
epoch: 1684
Epoch 1684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1684With loss 0.1267430099331721
epoch: 1685
Epoch 1685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1685With loss 0.1267430099331721
epoch: 1686
Epoch 1686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1686With loss 0.1267430099331721
epoch: 1687
Epoch 1687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1687With loss 0.1267430099331721
epoch: 1688
Epoch 1688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1688With loss 0.1267430099331721
epoch: 1689
Epoch 1689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1689With loss 0.1267430099331721
epoch: 1690
Epoch 1690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1690With loss 0.1267430099331721
epoch: 1691
Epoch 1691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1691With loss 0.1267430099331721
epoch: 1692
Epoch 1692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1692With loss 0.1267430099331721
epoch: 1693
Epoch 1693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1693With loss 0.1267430099331721
epoch: 1694
Epoch 1694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1694With loss 0.1267430099331721
epoch: 1695
Epoch 1695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1695With loss 0.1267430099331721
epoch: 1696
Epoch 1696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1696With loss 0.1267430099331721
epoch: 1697
Epoch 1697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1697With loss 0.1267430099331721
epoch: 1698
Epoch 1698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1698With loss 0.1267430099331721
epoch: 1699
Epoch 1699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1699With loss 0.1267430099331721
epoch: 1700
Epoch 1700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1700With loss 0.1267430099331721
epoch: 1701
Epoch 1701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1701With loss 0.1267430099331721
epoch: 1702
Epoch 1702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1702With loss 0.1267430099331721
epoch: 1703
Epoch 1703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1703With loss 0.1267430099331721
epoch: 1704
Epoch 1704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1704With loss 0.1267430099331721
epoch: 1705
Epoch 1705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1705With loss 0.1267430099331721
epoch: 1706
Epoch 1706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1706With loss 0.1267430099331721
epoch: 1707
Epoch 1707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1707With loss 0.1267430099331721
epoch: 1708
Epoch 1708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1708With loss 0.1267430099331721
epoch: 1709
Epoch 1709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1709With loss 0.1267430099331721
epoch: 1710
Epoch 1710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1710With loss 0.1267430099331721
epoch: 1711
Epoch 1711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1711With loss 0.1267430099331721
epoch: 1712
Epoch 1712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1712With loss 0.1267430099331721
epoch: 1713
Epoch 1713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1713With loss 0.1267430099331721
epoch: 1714
Epoch 1714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1714With loss 0.1267430099331721
epoch: 1715
Epoch 1715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1715With loss 0.1267430099331721
epoch: 1716
Epoch 1716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1716With loss 0.1267430099331721
epoch: 1717
Epoch 1717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1717With loss 0.1267430099331721
epoch: 1718
Epoch 1718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1718With loss 0.1267430099331721
epoch: 1719
Epoch 1719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1719With loss 0.1267430099331721
epoch: 1720
Epoch 1720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1720With loss 0.1267430099331721
epoch: 1721
Epoch 1721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1721With loss 0.1267430099331721
epoch: 1722
Epoch 1722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1722With loss 0.1267430099331721
epoch: 1723
Epoch 1723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1723With loss 0.1267430099331721
epoch: 1724
Epoch 1724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1724With loss 0.1267430099331721
epoch: 1725
Epoch 1725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1725With loss 0.1267430099331721
epoch: 1726
Epoch 1726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1726With loss 0.1267430099331721
epoch: 1727
Epoch 1727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1727With loss 0.1267430099331721
epoch: 1728
Epoch 1728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1728With loss 0.1267430099331721
epoch: 1729
Epoch 1729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1729With loss 0.1267430099331721
epoch: 1730
Epoch 1730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1730With loss 0.1267430099331721
epoch: 1731
Epoch 1731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1731With loss 0.1267430099331721
epoch: 1732
Epoch 1732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1732With loss 0.1267430099331721
epoch: 1733
Epoch 1733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1733With loss 0.1267430099331721
epoch: 1734
Epoch 1734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1734With loss 0.1267430099331721
epoch: 1735
Epoch 1735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1735With loss 0.1267430099331721
epoch: 1736
Epoch 1736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1736With loss 0.1267430099331721
epoch: 1737
Epoch 1737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1737With loss 0.1267430099331721
epoch: 1738
Epoch 1738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1738With loss 0.1267430099331721
epoch: 1739
Epoch 1739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1739With loss 0.1267430099331721
epoch: 1740
Epoch 1740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1740With loss 0.1267430099331721
epoch: 1741
Epoch 1741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1741With loss 0.1267430099331721
epoch: 1742
Epoch 1742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1742With loss 0.1267430099331721
epoch: 1743
Epoch 1743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1743With loss 0.1267430099331721
epoch: 1744
Epoch 1744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1744With loss 0.1267430099331721
epoch: 1745
Epoch 1745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1745With loss 0.1267430099331721
epoch: 1746
Epoch 1746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1746With loss 0.1267430099331721
epoch: 1747
Epoch 1747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1747With loss 0.1267430099331721
epoch: 1748
Epoch 1748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1748With loss 0.1267430099331721
epoch: 1749
Epoch 1749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1749With loss 0.1267430099331721
epoch: 1750
Epoch 1750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1750With loss 0.1267430099331721
epoch: 1751
Epoch 1751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1751With loss 0.1267430099331721
epoch: 1752
Epoch 1752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1752With loss 0.1267430099331721
epoch: 1753
Epoch 1753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1753With loss 0.1267430099331721
epoch: 1754
Epoch 1754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1754With loss 0.1267430099331721
epoch: 1755
Epoch 1755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1755With loss 0.1267430099331721
epoch: 1756
Epoch 1756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1756With loss 0.1267430099331721
epoch: 1757
Epoch 1757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1757With loss 0.1267430099331721
epoch: 1758
Epoch 1758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1758With loss 0.1267430099331721
epoch: 1759
Epoch 1759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1759With loss 0.1267430099331721
epoch: 1760
Epoch 1760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1760With loss 0.1267430099331721
epoch: 1761
Epoch 1761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1761With loss 0.1267430099331721
epoch: 1762
Epoch 1762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1762With loss 0.1267430099331721
epoch: 1763
Epoch 1763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1763With loss 0.1267430099331721
epoch: 1764
Epoch 1764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1764With loss 0.1267430099331721
epoch: 1765
Epoch 1765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1765With loss 0.1267430099331721
epoch: 1766
Epoch 1766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1766With loss 0.1267430099331721
epoch: 1767
Epoch 1767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1767With loss 0.1267430099331721
epoch: 1768
Epoch 1768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1768With loss 0.1267430099331721
epoch: 1769
Epoch 1769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1769With loss 0.1267430099331721
epoch: 1770
Epoch 1770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1770With loss 0.1267430099331721
epoch: 1771
Epoch 1771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1771With loss 0.1267430099331721
epoch: 1772
Epoch 1772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1772With loss 0.1267430099331721
epoch: 1773
Epoch 1773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1773With loss 0.1267430099331721
epoch: 1774
Epoch 1774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1774With loss 0.1267430099331721
epoch: 1775
Epoch 1775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1775With loss 0.1267430099331721
epoch: 1776
Epoch 1776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1776With loss 0.1267430099331721
epoch: 1777
Epoch 1777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1777With loss 0.1267430099331721
epoch: 1778
Epoch 1778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1778With loss 0.1267430099331721
epoch: 1779
Epoch 1779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1779With loss 0.1267430099331721
epoch: 1780
Epoch 1780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1780With loss 0.1267430099331721
epoch: 1781
Epoch 1781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1781With loss 0.1267430099331721
epoch: 1782
Epoch 1782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1782With loss 0.1267430099331721
epoch: 1783
Epoch 1783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1783With loss 0.1267430099331721
epoch: 1784
Epoch 1784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1784With loss 0.1267430099331721
epoch: 1785
Epoch 1785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1785With loss 0.1267430099331721
epoch: 1786
Epoch 1786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1786With loss 0.1267430099331721
epoch: 1787
Epoch 1787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1787With loss 0.1267430099331721
epoch: 1788
Epoch 1788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1788With loss 0.1267430099331721
epoch: 1789
Epoch 1789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1789With loss 0.1267430099331721
epoch: 1790
Epoch 1790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1790With loss 0.1267430099331721
epoch: 1791
Epoch 1791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1791With loss 0.1267430099331721
epoch: 1792
Epoch 1792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1792With loss 0.1267430099331721
epoch: 1793
Epoch 1793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1793With loss 0.1267430099331721
epoch: 1794
Epoch 1794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1794With loss 0.1267430099331721
epoch: 1795
Epoch 1795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1795With loss 0.1267430099331721
epoch: 1796
Epoch 1796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1796With loss 0.1267430099331721
epoch: 1797
Epoch 1797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1797With loss 0.1267430099331721
epoch: 1798
Epoch 1798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1798With loss 0.1267430099331721
epoch: 1799
Epoch 1799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1799With loss 0.1267430099331721
epoch: 1800
Epoch 1800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1800With loss 0.1267430099331721
epoch: 1801
Epoch 1801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1801With loss 0.1267430099331721
epoch: 1802
Epoch 1802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1802With loss 0.1267430099331721
epoch: 1803
Epoch 1803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1803With loss 0.1267430099331721
epoch: 1804
Epoch 1804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1804With loss 0.1267430099331721
epoch: 1805
Epoch 1805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1805With loss 0.1267430099331721
epoch: 1806
Epoch 1806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1806With loss 0.1267430099331721
epoch: 1807
Epoch 1807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1807With loss 0.1267430099331721
epoch: 1808
Epoch 1808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1808With loss 0.1267430099331721
epoch: 1809
Epoch 1809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1809With loss 0.1267430099331721
epoch: 1810
Epoch 1810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1810With loss 0.1267430099331721
epoch: 1811
Epoch 1811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1811With loss 0.1267430099331721
epoch: 1812
Epoch 1812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1812With loss 0.1267430099331721
epoch: 1813
Epoch 1813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1813With loss 0.1267430099331721
epoch: 1814
Epoch 1814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1814With loss 0.1267430099331721
epoch: 1815
Epoch 1815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1815With loss 0.1267430099331721
epoch: 1816
Epoch 1816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1816With loss 0.1267430099331721
epoch: 1817
Epoch 1817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1817With loss 0.1267430099331721
epoch: 1818
Epoch 1818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1818With loss 0.1267430099331721
epoch: 1819
Epoch 1819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1819With loss 0.1267430099331721
epoch: 1820
Epoch 1820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1820With loss 0.1267430099331721
epoch: 1821
Epoch 1821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1821With loss 0.1267430099331721
epoch: 1822
Epoch 1822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1822With loss 0.1267430099331721
epoch: 1823
Epoch 1823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1823With loss 0.1267430099331721
epoch: 1824
Epoch 1824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1824With loss 0.1267430099331721
epoch: 1825
Epoch 1825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1825With loss 0.1267430099331721
epoch: 1826
Epoch 1826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1826With loss 0.1267430099331721
epoch: 1827
Epoch 1827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1827With loss 0.1267430099331721
epoch: 1828
Epoch 1828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1828With loss 0.1267430099331721
epoch: 1829
Epoch 1829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1829With loss 0.1267430099331721
epoch: 1830
Epoch 1830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1830With loss 0.1267430099331721
epoch: 1831
Epoch 1831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1831With loss 0.1267430099331721
epoch: 1832
Epoch 1832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1832With loss 0.1267430099331721
epoch: 1833
Epoch 1833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1833With loss 0.1267430099331721
epoch: 1834
Epoch 1834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1834With loss 0.1267430099331721
epoch: 1835
Epoch 1835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1835With loss 0.1267430099331721
epoch: 1836
Epoch 1836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1836With loss 0.1267430099331721
epoch: 1837
Epoch 1837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1837With loss 0.1267430099331721
epoch: 1838
Epoch 1838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1838With loss 0.1267430099331721
epoch: 1839
Epoch 1839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1839With loss 0.1267430099331721
epoch: 1840
Epoch 1840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1840With loss 0.1267430099331721
epoch: 1841
Epoch 1841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1841With loss 0.1267430099331721
epoch: 1842
Epoch 1842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1842With loss 0.1267430099331721
epoch: 1843
Epoch 1843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1843With loss 0.1267430099331721
epoch: 1844
Epoch 1844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1844With loss 0.1267430099331721
epoch: 1845
Epoch 1845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1845With loss 0.1267430099331721
epoch: 1846
Epoch 1846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1846With loss 0.1267430099331721
epoch: 1847
Epoch 1847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1847With loss 0.1267430099331721
epoch: 1848
Epoch 1848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1848With loss 0.1267430099331721
epoch: 1849
Epoch 1849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1849With loss 0.1267430099331721
epoch: 1850
Epoch 1850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1850With loss 0.1267430099331721
epoch: 1851
Epoch 1851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1851With loss 0.1267430099331721
epoch: 1852
Epoch 1852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1852With loss 0.1267430099331721
epoch: 1853
Epoch 1853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1853With loss 0.1267430099331721
epoch: 1854
Epoch 1854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1854With loss 0.1267430099331721
epoch: 1855
Epoch 1855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1855With loss 0.1267430099331721
epoch: 1856
Epoch 1856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1856With loss 0.1267430099331721
epoch: 1857
Epoch 1857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1857With loss 0.1267430099331721
epoch: 1858
Epoch 1858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1858With loss 0.1267430099331721
epoch: 1859
Epoch 1859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1859With loss 0.1267430099331721
epoch: 1860
Epoch 1860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1860With loss 0.1267430099331721
epoch: 1861
Epoch 1861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1861With loss 0.1267430099331721
epoch: 1862
Epoch 1862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1862With loss 0.1267430099331721
epoch: 1863
Epoch 1863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1863With loss 0.1267430099331721
epoch: 1864
Epoch 1864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1864With loss 0.1267430099331721
epoch: 1865
Epoch 1865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1865With loss 0.1267430099331721
epoch: 1866
Epoch 1866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1866With loss 0.1267430099331721
epoch: 1867
Epoch 1867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1867With loss 0.1267430099331721
epoch: 1868
Epoch 1868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1868With loss 0.1267430099331721
epoch: 1869
Epoch 1869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1869With loss 0.1267430099331721
epoch: 1870
Epoch 1870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1870With loss 0.1267430099331721
epoch: 1871
Epoch 1871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1871With loss 0.1267430099331721
epoch: 1872
Epoch 1872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1872With loss 0.1267430099331721
epoch: 1873
Epoch 1873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1873With loss 0.1267430099331721
epoch: 1874
Epoch 1874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1874With loss 0.1267430099331721
epoch: 1875
Epoch 1875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1875With loss 0.1267430099331721
epoch: 1876
Epoch 1876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1876With loss 0.1267430099331721
epoch: 1877
Epoch 1877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1877With loss 0.1267430099331721
epoch: 1878
Epoch 1878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1878With loss 0.1267430099331721
epoch: 1879
Epoch 1879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1879With loss 0.1267430099331721
epoch: 1880
Epoch 1880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1880With loss 0.1267430099331721
epoch: 1881
Epoch 1881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1881With loss 0.1267430099331721
epoch: 1882
Epoch 1882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1882With loss 0.1267430099331721
epoch: 1883
Epoch 1883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1883With loss 0.1267430099331721
epoch: 1884
Epoch 1884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1884With loss 0.1267430099331721
epoch: 1885
Epoch 1885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1885With loss 0.1267430099331721
epoch: 1886
Epoch 1886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1886With loss 0.1267430099331721
epoch: 1887
Epoch 1887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1887With loss 0.1267430099331721
epoch: 1888
Epoch 1888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1888With loss 0.1267430099331721
epoch: 1889
Epoch 1889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1889With loss 0.1267430099331721
epoch: 1890
Epoch 1890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1890With loss 0.1267430099331721
epoch: 1891
Epoch 1891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1891With loss 0.1267430099331721
epoch: 1892
Epoch 1892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1892With loss 0.1267430099331721
epoch: 1893
Epoch 1893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1893With loss 0.1267430099331721
epoch: 1894
Epoch 1894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1894With loss 0.1267430099331721
epoch: 1895
Epoch 1895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1895With loss 0.1267430099331721
epoch: 1896
Epoch 1896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1896With loss 0.1267430099331721
epoch: 1897
Epoch 1897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1897With loss 0.1267430099331721
epoch: 1898
Epoch 1898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1898With loss 0.1267430099331721
epoch: 1899
Epoch 1899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1899With loss 0.1267430099331721
epoch: 1900
Epoch 1900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1900With loss 0.1267430099331721
epoch: 1901
Epoch 1901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1901With loss 0.1267430099331721
epoch: 1902
Epoch 1902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1902With loss 0.1267430099331721
epoch: 1903
Epoch 1903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1903With loss 0.1267430099331721
epoch: 1904
Epoch 1904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1904With loss 0.1267430099331721
epoch: 1905
Epoch 1905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1905With loss 0.1267430099331721
epoch: 1906
Epoch 1906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1906With loss 0.1267430099331721
epoch: 1907
Epoch 1907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1907With loss 0.1267430099331721
epoch: 1908
Epoch 1908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1908With loss 0.1267430099331721
epoch: 1909
Epoch 1909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1909With loss 0.1267430099331721
epoch: 1910
Epoch 1910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1910With loss 0.1267430099331721
epoch: 1911
Epoch 1911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1911With loss 0.1267430099331721
epoch: 1912
Epoch 1912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1912With loss 0.1267430099331721
epoch: 1913
Epoch 1913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1913With loss 0.1267430099331721
epoch: 1914
Epoch 1914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1914With loss 0.1267430099331721
epoch: 1915
Epoch 1915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1915With loss 0.1267430099331721
epoch: 1916
Epoch 1916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1916With loss 0.1267430099331721
epoch: 1917
Epoch 1917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1917With loss 0.1267430099331721
epoch: 1918
Epoch 1918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1918With loss 0.1267430099331721
epoch: 1919
Epoch 1919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1919With loss 0.1267430099331721
epoch: 1920
Epoch 1920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1920With loss 0.1267430099331721
epoch: 1921
Epoch 1921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1921With loss 0.1267430099331721
epoch: 1922
Epoch 1922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1922With loss 0.1267430099331721
epoch: 1923
Epoch 1923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1923With loss 0.1267430099331721
epoch: 1924
Epoch 1924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1924With loss 0.1267430099331721
epoch: 1925
Epoch 1925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1925With loss 0.1267430099331721
epoch: 1926
Epoch 1926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1926With loss 0.1267430099331721
epoch: 1927
Epoch 1927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1927With loss 0.1267430099331721
epoch: 1928
Epoch 1928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1928With loss 0.1267430099331721
epoch: 1929
Epoch 1929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1929With loss 0.1267430099331721
epoch: 1930
Epoch 1930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1930With loss 0.1267430099331721
epoch: 1931
Epoch 1931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1931With loss 0.1267430099331721
epoch: 1932
Epoch 1932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1932With loss 0.1267430099331721
epoch: 1933
Epoch 1933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1933With loss 0.1267430099331721
epoch: 1934
Epoch 1934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1934With loss 0.1267430099331721
epoch: 1935
Epoch 1935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1935With loss 0.1267430099331721
epoch: 1936
Epoch 1936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1936With loss 0.1267430099331721
epoch: 1937
Epoch 1937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1937With loss 0.1267430099331721
epoch: 1938
Epoch 1938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1938With loss 0.1267430099331721
epoch: 1939
Epoch 1939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1939With loss 0.1267430099331721
epoch: 1940
Epoch 1940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1940With loss 0.1267430099331721
epoch: 1941
Epoch 1941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1941With loss 0.1267430099331721
epoch: 1942
Epoch 1942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1942With loss 0.1267430099331721
epoch: 1943
Epoch 1943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1943With loss 0.1267430099331721
epoch: 1944
Epoch 1944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1944With loss 0.1267430099331721
epoch: 1945
Epoch 1945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1945With loss 0.1267430099331721
epoch: 1946
Epoch 1946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1946With loss 0.1267430099331721
epoch: 1947
Epoch 1947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1947With loss 0.1267430099331721
epoch: 1948
Epoch 1948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1948With loss 0.1267430099331721
epoch: 1949
Epoch 1949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1949With loss 0.1267430099331721
epoch: 1950
Epoch 1950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1950With loss 0.1267430099331721
epoch: 1951
Epoch 1951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1951With loss 0.1267430099331721
epoch: 1952
Epoch 1952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1952With loss 0.1267430099331721
epoch: 1953
Epoch 1953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1953With loss 0.1267430099331721
epoch: 1954
Epoch 1954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1954With loss 0.1267430099331721
epoch: 1955
Epoch 1955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1955With loss 0.1267430099331721
epoch: 1956
Epoch 1956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1956With loss 0.1267430099331721
epoch: 1957
Epoch 1957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1957With loss 0.1267430099331721
epoch: 1958
Epoch 1958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1958With loss 0.1267430099331721
epoch: 1959
Epoch 1959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1959With loss 0.1267430099331721
epoch: 1960
Epoch 1960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1960With loss 0.1267430099331721
epoch: 1961
Epoch 1961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1961With loss 0.1267430099331721
epoch: 1962
Epoch 1962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1962With loss 0.1267430099331721
epoch: 1963
Epoch 1963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1963With loss 0.1267430099331721
epoch: 1964
Epoch 1964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1964With loss 0.1267430099331721
epoch: 1965
Epoch 1965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1965With loss 0.1267430099331721
epoch: 1966
Epoch 1966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1966With loss 0.1267430099331721
epoch: 1967
Epoch 1967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1967With loss 0.1267430099331721
epoch: 1968
Epoch 1968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1968With loss 0.1267430099331721
epoch: 1969
Epoch 1969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1969With loss 0.1267430099331721
epoch: 1970
Epoch 1970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1970With loss 0.1267430099331721
epoch: 1971
Epoch 1971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1971With loss 0.1267430099331721
epoch: 1972
Epoch 1972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1972With loss 0.1267430099331721
epoch: 1973
Epoch 1973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1973With loss 0.1267430099331721
epoch: 1974
Epoch 1974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1974With loss 0.1267430099331721
epoch: 1975
Epoch 1975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1975With loss 0.1267430099331721
epoch: 1976
Epoch 1976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1976With loss 0.1267430099331721
epoch: 1977
Epoch 1977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1977With loss 0.1267430099331721
epoch: 1978
Epoch 1978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1978With loss 0.1267430099331721
epoch: 1979
Epoch 1979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1979With loss 0.1267430099331721
epoch: 1980
Epoch 1980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1980With loss 0.1267430099331721
epoch: 1981
Epoch 1981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1981With loss 0.1267430099331721
epoch: 1982
Epoch 1982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1982With loss 0.1267430099331721
epoch: 1983
Epoch 1983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1983With loss 0.1267430099331721
epoch: 1984
Epoch 1984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1984With loss 0.1267430099331721
epoch: 1985
Epoch 1985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1985With loss 0.1267430099331721
epoch: 1986
Epoch 1986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1986With loss 0.1267430099331721
epoch: 1987
Epoch 1987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1987With loss 0.1267430099331721
epoch: 1988
Epoch 1988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1988With loss 0.1267430099331721
epoch: 1989
Epoch 1989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1989With loss 0.1267430099331721
epoch: 1990
Epoch 1990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1990With loss 0.1267430099331721
epoch: 1991
Epoch 1991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1991With loss 0.1267430099331721
epoch: 1992
Epoch 1992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1992With loss 0.1267430099331721
epoch: 1993
Epoch 1993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1993With loss 0.1267430099331721
epoch: 1994
Epoch 1994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1994With loss 0.1267430099331721
epoch: 1995
Epoch 1995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1995With loss 0.1267430099331721
epoch: 1996
Epoch 1996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1996With loss 0.1267430099331721
epoch: 1997
Epoch 1997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1997With loss 0.1267430099331721
epoch: 1998
Epoch 1998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1998With loss 0.1267430099331721
epoch: 1999
Epoch 1999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 1999With loss 0.1267430099331721
epoch: 2000
Epoch 2000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2000With loss 0.1267430099331721
epoch: 2001
Epoch 2001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2001With loss 0.1267430099331721
epoch: 2002
Epoch 2002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2002With loss 0.1267430099331721
epoch: 2003
Epoch 2003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2003With loss 0.1267430099331721
epoch: 2004
Epoch 2004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2004With loss 0.1267430099331721
epoch: 2005
Epoch 2005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2005With loss 0.1267430099331721
epoch: 2006
Epoch 2006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2006With loss 0.1267430099331721
epoch: 2007
Epoch 2007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2007With loss 0.1267430099331721
epoch: 2008
Epoch 2008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2008With loss 0.1267430099331721
epoch: 2009
Epoch 2009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2009With loss 0.1267430099331721
epoch: 2010
Epoch 2010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2010With loss 0.1267430099331721
epoch: 2011
Epoch 2011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2011With loss 0.1267430099331721
epoch: 2012
Epoch 2012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2012With loss 0.1267430099331721
epoch: 2013
Epoch 2013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2013With loss 0.1267430099331721
epoch: 2014
Epoch 2014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2014With loss 0.1267430099331721
epoch: 2015
Epoch 2015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2015With loss 0.1267430099331721
epoch: 2016
Epoch 2016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2016With loss 0.1267430099331721
epoch: 2017
Epoch 2017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2017With loss 0.1267430099331721
epoch: 2018
Epoch 2018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2018With loss 0.1267430099331721
epoch: 2019
Epoch 2019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2019With loss 0.1267430099331721
epoch: 2020
Epoch 2020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2020With loss 0.1267430099331721
epoch: 2021
Epoch 2021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2021With loss 0.1267430099331721
epoch: 2022
Epoch 2022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2022With loss 0.1267430099331721
epoch: 2023
Epoch 2023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2023With loss 0.1267430099331721
epoch: 2024
Epoch 2024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2024With loss 0.1267430099331721
epoch: 2025
Epoch 2025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2025With loss 0.1267430099331721
epoch: 2026
Epoch 2026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2026With loss 0.1267430099331721
epoch: 2027
Epoch 2027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2027With loss 0.1267430099331721
epoch: 2028
Epoch 2028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2028With loss 0.1267430099331721
epoch: 2029
Epoch 2029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2029With loss 0.1267430099331721
epoch: 2030
Epoch 2030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2030With loss 0.1267430099331721
epoch: 2031
Epoch 2031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2031With loss 0.1267430099331721
epoch: 2032
Epoch 2032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2032With loss 0.1267430099331721
epoch: 2033
Epoch 2033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2033With loss 0.1267430099331721
epoch: 2034
Epoch 2034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2034With loss 0.1267430099331721
epoch: 2035
Epoch 2035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2035With loss 0.1267430099331721
epoch: 2036
Epoch 2036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2036With loss 0.1267430099331721
epoch: 2037
Epoch 2037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2037With loss 0.1267430099331721
epoch: 2038
Epoch 2038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2038With loss 0.1267430099331721
epoch: 2039
Epoch 2039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2039With loss 0.1267430099331721
epoch: 2040
Epoch 2040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2040With loss 0.1267430099331721
epoch: 2041
Epoch 2041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2041With loss 0.1267430099331721
epoch: 2042
Epoch 2042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2042With loss 0.1267430099331721
epoch: 2043
Epoch 2043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2043With loss 0.1267430099331721
epoch: 2044
Epoch 2044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2044With loss 0.1267430099331721
epoch: 2045
Epoch 2045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2045With loss 0.1267430099331721
epoch: 2046
Epoch 2046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2046With loss 0.1267430099331721
epoch: 2047
Epoch 2047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2047With loss 0.1267430099331721
epoch: 2048
Epoch 2048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2048With loss 0.1267430099331721
epoch: 2049
Epoch 2049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2049With loss 0.1267430099331721
epoch: 2050
Epoch 2050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2050With loss 0.1267430099331721
epoch: 2051
Epoch 2051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2051With loss 0.1267430099331721
epoch: 2052
Epoch 2052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2052With loss 0.1267430099331721
epoch: 2053
Epoch 2053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2053With loss 0.1267430099331721
epoch: 2054
Epoch 2054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2054With loss 0.1267430099331721
epoch: 2055
Epoch 2055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2055With loss 0.1267430099331721
epoch: 2056
Epoch 2056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2056With loss 0.1267430099331721
epoch: 2057
Epoch 2057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2057With loss 0.1267430099331721
epoch: 2058
Epoch 2058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2058With loss 0.1267430099331721
epoch: 2059
Epoch 2059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2059With loss 0.1267430099331721
epoch: 2060
Epoch 2060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2060With loss 0.1267430099331721
epoch: 2061
Epoch 2061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2061With loss 0.1267430099331721
epoch: 2062
Epoch 2062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2062With loss 0.1267430099331721
epoch: 2063
Epoch 2063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2063With loss 0.1267430099331721
epoch: 2064
Epoch 2064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2064With loss 0.1267430099331721
epoch: 2065
Epoch 2065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2065With loss 0.1267430099331721
epoch: 2066
Epoch 2066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2066With loss 0.1267430099331721
epoch: 2067
Epoch 2067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2067With loss 0.1267430099331721
epoch: 2068
Epoch 2068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2068With loss 0.1267430099331721
epoch: 2069
Epoch 2069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2069With loss 0.1267430099331721
epoch: 2070
Epoch 2070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2070With loss 0.1267430099331721
epoch: 2071
Epoch 2071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2071With loss 0.1267430099331721
epoch: 2072
Epoch 2072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2072With loss 0.1267430099331721
epoch: 2073
Epoch 2073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2073With loss 0.1267430099331721
epoch: 2074
Epoch 2074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2074With loss 0.1267430099331721
epoch: 2075
Epoch 2075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2075With loss 0.1267430099331721
epoch: 2076
Epoch 2076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2076With loss 0.1267430099331721
epoch: 2077
Epoch 2077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2077With loss 0.1267430099331721
epoch: 2078
Epoch 2078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2078With loss 0.1267430099331721
epoch: 2079
Epoch 2079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2079With loss 0.1267430099331721
epoch: 2080
Epoch 2080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2080With loss 0.1267430099331721
epoch: 2081
Epoch 2081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2081With loss 0.1267430099331721
epoch: 2082
Epoch 2082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2082With loss 0.1267430099331721
epoch: 2083
Epoch 2083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2083With loss 0.1267430099331721
epoch: 2084
Epoch 2084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2084With loss 0.1267430099331721
epoch: 2085
Epoch 2085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2085With loss 0.1267430099331721
epoch: 2086
Epoch 2086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2086With loss 0.1267430099331721
epoch: 2087
Epoch 2087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2087With loss 0.1267430099331721
epoch: 2088
Epoch 2088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2088With loss 0.1267430099331721
epoch: 2089
Epoch 2089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2089With loss 0.1267430099331721
epoch: 2090
Epoch 2090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2090With loss 0.1267430099331721
epoch: 2091
Epoch 2091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2091With loss 0.1267430099331721
epoch: 2092
Epoch 2092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2092With loss 0.1267430099331721
epoch: 2093
Epoch 2093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2093With loss 0.1267430099331721
epoch: 2094
Epoch 2094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2094With loss 0.1267430099331721
epoch: 2095
Epoch 2095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2095With loss 0.1267430099331721
epoch: 2096
Epoch 2096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2096With loss 0.1267430099331721
epoch: 2097
Epoch 2097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2097With loss 0.1267430099331721
epoch: 2098
Epoch 2098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2098With loss 0.1267430099331721
epoch: 2099
Epoch 2099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2099With loss 0.1267430099331721
epoch: 2100
Epoch 2100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2100With loss 0.1267430099331721
epoch: 2101
Epoch 2101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2101With loss 0.1267430099331721
epoch: 2102
Epoch 2102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2102With loss 0.1267430099331721
epoch: 2103
Epoch 2103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2103With loss 0.1267430099331721
epoch: 2104
Epoch 2104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2104With loss 0.1267430099331721
epoch: 2105
Epoch 2105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2105With loss 0.1267430099331721
epoch: 2106
Epoch 2106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2106With loss 0.1267430099331721
epoch: 2107
Epoch 2107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2107With loss 0.1267430099331721
epoch: 2108
Epoch 2108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2108With loss 0.1267430099331721
epoch: 2109
Epoch 2109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2109With loss 0.1267430099331721
epoch: 2110
Epoch 2110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2110With loss 0.1267430099331721
epoch: 2111
Epoch 2111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2111With loss 0.1267430099331721
epoch: 2112
Epoch 2112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2112With loss 0.1267430099331721
epoch: 2113
Epoch 2113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2113With loss 0.1267430099331721
epoch: 2114
Epoch 2114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2114With loss 0.1267430099331721
epoch: 2115
Epoch 2115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2115With loss 0.1267430099331721
epoch: 2116
Epoch 2116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2116With loss 0.1267430099331721
epoch: 2117
Epoch 2117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2117With loss 0.1267430099331721
epoch: 2118
Epoch 2118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2118With loss 0.1267430099331721
epoch: 2119
Epoch 2119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2119With loss 0.1267430099331721
epoch: 2120
Epoch 2120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2120With loss 0.1267430099331721
epoch: 2121
Epoch 2121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2121With loss 0.1267430099331721
epoch: 2122
Epoch 2122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2122With loss 0.1267430099331721
epoch: 2123
Epoch 2123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2123With loss 0.1267430099331721
epoch: 2124
Epoch 2124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2124With loss 0.1267430099331721
epoch: 2125
Epoch 2125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2125With loss 0.1267430099331721
epoch: 2126
Epoch 2126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2126With loss 0.1267430099331721
epoch: 2127
Epoch 2127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2127With loss 0.1267430099331721
epoch: 2128
Epoch 2128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2128With loss 0.1267430099331721
epoch: 2129
Epoch 2129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2129With loss 0.1267430099331721
epoch: 2130
Epoch 2130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2130With loss 0.1267430099331721
epoch: 2131
Epoch 2131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2131With loss 0.1267430099331721
epoch: 2132
Epoch 2132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2132With loss 0.1267430099331721
epoch: 2133
Epoch 2133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2133With loss 0.1267430099331721
epoch: 2134
Epoch 2134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2134With loss 0.1267430099331721
epoch: 2135
Epoch 2135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2135With loss 0.1267430099331721
epoch: 2136
Epoch 2136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2136With loss 0.1267430099331721
epoch: 2137
Epoch 2137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2137With loss 0.1267430099331721
epoch: 2138
Epoch 2138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2138With loss 0.1267430099331721
epoch: 2139
Epoch 2139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2139With loss 0.1267430099331721
epoch: 2140
Epoch 2140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2140With loss 0.1267430099331721
epoch: 2141
Epoch 2141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2141With loss 0.1267430099331721
epoch: 2142
Epoch 2142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2142With loss 0.1267430099331721
epoch: 2143
Epoch 2143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2143With loss 0.1267430099331721
epoch: 2144
Epoch 2144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2144With loss 0.1267430099331721
epoch: 2145
Epoch 2145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2145With loss 0.1267430099331721
epoch: 2146
Epoch 2146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2146With loss 0.1267430099331721
epoch: 2147
Epoch 2147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2147With loss 0.1267430099331721
epoch: 2148
Epoch 2148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2148With loss 0.1267430099331721
epoch: 2149
Epoch 2149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2149With loss 0.1267430099331721
epoch: 2150
Epoch 2150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2150With loss 0.1267430099331721
epoch: 2151
Epoch 2151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2151With loss 0.1267430099331721
epoch: 2152
Epoch 2152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2152With loss 0.1267430099331721
epoch: 2153
Epoch 2153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2153With loss 0.1267430099331721
epoch: 2154
Epoch 2154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2154With loss 0.1267430099331721
epoch: 2155
Epoch 2155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2155With loss 0.1267430099331721
epoch: 2156
Epoch 2156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2156With loss 0.1267430099331721
epoch: 2157
Epoch 2157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2157With loss 0.1267430099331721
epoch: 2158
Epoch 2158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2158With loss 0.1267430099331721
epoch: 2159
Epoch 2159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2159With loss 0.1267430099331721
epoch: 2160
Epoch 2160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2160With loss 0.1267430099331721
epoch: 2161
Epoch 2161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2161With loss 0.1267430099331721
epoch: 2162
Epoch 2162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2162With loss 0.1267430099331721
epoch: 2163
Epoch 2163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2163With loss 0.1267430099331721
epoch: 2164
Epoch 2164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2164With loss 0.1267430099331721
epoch: 2165
Epoch 2165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2165With loss 0.1267430099331721
epoch: 2166
Epoch 2166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2166With loss 0.1267430099331721
epoch: 2167
Epoch 2167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2167With loss 0.1267430099331721
epoch: 2168
Epoch 2168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2168With loss 0.1267430099331721
epoch: 2169
Epoch 2169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2169With loss 0.1267430099331721
epoch: 2170
Epoch 2170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2170With loss 0.1267430099331721
epoch: 2171
Epoch 2171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2171With loss 0.1267430099331721
epoch: 2172
Epoch 2172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2172With loss 0.1267430099331721
epoch: 2173
Epoch 2173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2173With loss 0.1267430099331721
epoch: 2174
Epoch 2174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2174With loss 0.1267430099331721
epoch: 2175
Epoch 2175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2175With loss 0.1267430099331721
epoch: 2176
Epoch 2176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2176With loss 0.1267430099331721
epoch: 2177
Epoch 2177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2177With loss 0.1267430099331721
epoch: 2178
Epoch 2178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2178With loss 0.1267430099331721
epoch: 2179
Epoch 2179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2179With loss 0.1267430099331721
epoch: 2180
Epoch 2180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2180With loss 0.1267430099331721
epoch: 2181
Epoch 2181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2181With loss 0.1267430099331721
epoch: 2182
Epoch 2182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2182With loss 0.1267430099331721
epoch: 2183
Epoch 2183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2183With loss 0.1267430099331721
epoch: 2184
Epoch 2184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2184With loss 0.1267430099331721
epoch: 2185
Epoch 2185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2185With loss 0.1267430099331721
epoch: 2186
Epoch 2186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2186With loss 0.1267430099331721
epoch: 2187
Epoch 2187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2187With loss 0.1267430099331721
epoch: 2188
Epoch 2188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2188With loss 0.1267430099331721
epoch: 2189
Epoch 2189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2189With loss 0.1267430099331721
epoch: 2190
Epoch 2190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2190With loss 0.1267430099331721
epoch: 2191
Epoch 2191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2191With loss 0.1267430099331721
epoch: 2192
Epoch 2192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2192With loss 0.1267430099331721
epoch: 2193
Epoch 2193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2193With loss 0.1267430099331721
epoch: 2194
Epoch 2194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2194With loss 0.1267430099331721
epoch: 2195
Epoch 2195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2195With loss 0.1267430099331721
epoch: 2196
Epoch 2196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2196With loss 0.1267430099331721
epoch: 2197
Epoch 2197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2197With loss 0.1267430099331721
epoch: 2198
Epoch 2198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2198With loss 0.1267430099331721
epoch: 2199
Epoch 2199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2199With loss 0.1267430099331721
epoch: 2200
Epoch 2200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2200With loss 0.1267430099331721
epoch: 2201
Epoch 2201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2201With loss 0.1267430099331721
epoch: 2202
Epoch 2202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2202With loss 0.1267430099331721
epoch: 2203
Epoch 2203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2203With loss 0.1267430099331721
epoch: 2204
Epoch 2204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2204With loss 0.1267430099331721
epoch: 2205
Epoch 2205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2205With loss 0.1267430099331721
epoch: 2206
Epoch 2206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2206With loss 0.1267430099331721
epoch: 2207
Epoch 2207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2207With loss 0.1267430099331721
epoch: 2208
Epoch 2208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2208With loss 0.1267430099331721
epoch: 2209
Epoch 2209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2209With loss 0.1267430099331721
epoch: 2210
Epoch 2210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2210With loss 0.1267430099331721
epoch: 2211
Epoch 2211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2211With loss 0.1267430099331721
epoch: 2212
Epoch 2212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2212With loss 0.1267430099331721
epoch: 2213
Epoch 2213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2213With loss 0.1267430099331721
epoch: 2214
Epoch 2214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2214With loss 0.1267430099331721
epoch: 2215
Epoch 2215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2215With loss 0.1267430099331721
epoch: 2216
Epoch 2216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2216With loss 0.1267430099331721
epoch: 2217
Epoch 2217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2217With loss 0.1267430099331721
epoch: 2218
Epoch 2218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2218With loss 0.1267430099331721
epoch: 2219
Epoch 2219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2219With loss 0.1267430099331721
epoch: 2220
Epoch 2220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2220With loss 0.1267430099331721
epoch: 2221
Epoch 2221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2221With loss 0.1267430099331721
epoch: 2222
Epoch 2222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2222With loss 0.1267430099331721
epoch: 2223
Epoch 2223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2223With loss 0.1267430099331721
epoch: 2224
Epoch 2224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2224With loss 0.1267430099331721
epoch: 2225
Epoch 2225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2225With loss 0.1267430099331721
epoch: 2226
Epoch 2226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2226With loss 0.1267430099331721
epoch: 2227
Epoch 2227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2227With loss 0.1267430099331721
epoch: 2228
Epoch 2228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2228With loss 0.1267430099331721
epoch: 2229
Epoch 2229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2229With loss 0.1267430099331721
epoch: 2230
Epoch 2230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2230With loss 0.1267430099331721
epoch: 2231
Epoch 2231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2231With loss 0.1267430099331721
epoch: 2232
Epoch 2232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2232With loss 0.1267430099331721
epoch: 2233
Epoch 2233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2233With loss 0.1267430099331721
epoch: 2234
Epoch 2234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2234With loss 0.1267430099331721
epoch: 2235
Epoch 2235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2235With loss 0.1267430099331721
epoch: 2236
Epoch 2236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2236With loss 0.1267430099331721
epoch: 2237
Epoch 2237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2237With loss 0.1267430099331721
epoch: 2238
Epoch 2238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2238With loss 0.1267430099331721
epoch: 2239
Epoch 2239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2239With loss 0.1267430099331721
epoch: 2240
Epoch 2240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2240With loss 0.1267430099331721
epoch: 2241
Epoch 2241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2241With loss 0.1267430099331721
epoch: 2242
Epoch 2242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2242With loss 0.1267430099331721
epoch: 2243
Epoch 2243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2243With loss 0.1267430099331721
epoch: 2244
Epoch 2244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2244With loss 0.1267430099331721
epoch: 2245
Epoch 2245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2245With loss 0.1267430099331721
epoch: 2246
Epoch 2246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2246With loss 0.1267430099331721
epoch: 2247
Epoch 2247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2247With loss 0.1267430099331721
epoch: 2248
Epoch 2248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2248With loss 0.1267430099331721
epoch: 2249
Epoch 2249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2249With loss 0.1267430099331721
epoch: 2250
Epoch 2250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2250With loss 0.1267430099331721
epoch: 2251
Epoch 2251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2251With loss 0.1267430099331721
epoch: 2252
Epoch 2252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2252With loss 0.1267430099331721
epoch: 2253
Epoch 2253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2253With loss 0.1267430099331721
epoch: 2254
Epoch 2254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2254With loss 0.1267430099331721
epoch: 2255
Epoch 2255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2255With loss 0.1267430099331721
epoch: 2256
Epoch 2256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2256With loss 0.1267430099331721
epoch: 2257
Epoch 2257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2257With loss 0.1267430099331721
epoch: 2258
Epoch 2258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2258With loss 0.1267430099331721
epoch: 2259
Epoch 2259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2259With loss 0.1267430099331721
epoch: 2260
Epoch 2260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2260With loss 0.1267430099331721
epoch: 2261
Epoch 2261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2261With loss 0.1267430099331721
epoch: 2262
Epoch 2262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2262With loss 0.1267430099331721
epoch: 2263
Epoch 2263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2263With loss 0.1267430099331721
epoch: 2264
Epoch 2264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2264With loss 0.1267430099331721
epoch: 2265
Epoch 2265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2265With loss 0.1267430099331721
epoch: 2266
Epoch 2266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2266With loss 0.1267430099331721
epoch: 2267
Epoch 2267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2267With loss 0.1267430099331721
epoch: 2268
Epoch 2268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2268With loss 0.1267430099331721
epoch: 2269
Epoch 2269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2269With loss 0.1267430099331721
epoch: 2270
Epoch 2270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2270With loss 0.1267430099331721
epoch: 2271
Epoch 2271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2271With loss 0.1267430099331721
epoch: 2272
Epoch 2272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2272With loss 0.1267430099331721
epoch: 2273
Epoch 2273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2273With loss 0.1267430099331721
epoch: 2274
Epoch 2274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2274With loss 0.1267430099331721
epoch: 2275
Epoch 2275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2275With loss 0.1267430099331721
epoch: 2276
Epoch 2276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2276With loss 0.1267430099331721
epoch: 2277
Epoch 2277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2277With loss 0.1267430099331721
epoch: 2278
Epoch 2278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2278With loss 0.1267430099331721
epoch: 2279
Epoch 2279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2279With loss 0.1267430099331721
epoch: 2280
Epoch 2280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2280With loss 0.1267430099331721
epoch: 2281
Epoch 2281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2281With loss 0.1267430099331721
epoch: 2282
Epoch 2282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2282With loss 0.1267430099331721
epoch: 2283
Epoch 2283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2283With loss 0.1267430099331721
epoch: 2284
Epoch 2284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2284With loss 0.1267430099331721
epoch: 2285
Epoch 2285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2285With loss 0.1267430099331721
epoch: 2286
Epoch 2286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2286With loss 0.1267430099331721
epoch: 2287
Epoch 2287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2287With loss 0.1267430099331721
epoch: 2288
Epoch 2288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2288With loss 0.1267430099331721
epoch: 2289
Epoch 2289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2289With loss 0.1267430099331721
epoch: 2290
Epoch 2290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2290With loss 0.1267430099331721
epoch: 2291
Epoch 2291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2291With loss 0.1267430099331721
epoch: 2292
Epoch 2292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2292With loss 0.1267430099331721
epoch: 2293
Epoch 2293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2293With loss 0.1267430099331721
epoch: 2294
Epoch 2294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2294With loss 0.1267430099331721
epoch: 2295
Epoch 2295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2295With loss 0.1267430099331721
epoch: 2296
Epoch 2296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2296With loss 0.1267430099331721
epoch: 2297
Epoch 2297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2297With loss 0.1267430099331721
epoch: 2298
Epoch 2298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2298With loss 0.1267430099331721
epoch: 2299
Epoch 2299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2299With loss 0.1267430099331721
epoch: 2300
Epoch 2300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2300With loss 0.1267430099331721
epoch: 2301
Epoch 2301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2301With loss 0.1267430099331721
epoch: 2302
Epoch 2302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2302With loss 0.1267430099331721
epoch: 2303
Epoch 2303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2303With loss 0.1267430099331721
epoch: 2304
Epoch 2304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2304With loss 0.1267430099331721
epoch: 2305
Epoch 2305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2305With loss 0.1267430099331721
epoch: 2306
Epoch 2306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2306With loss 0.1267430099331721
epoch: 2307
Epoch 2307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2307With loss 0.1267430099331721
epoch: 2308
Epoch 2308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2308With loss 0.1267430099331721
epoch: 2309
Epoch 2309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2309With loss 0.1267430099331721
epoch: 2310
Epoch 2310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2310With loss 0.1267430099331721
epoch: 2311
Epoch 2311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2311With loss 0.1267430099331721
epoch: 2312
Epoch 2312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2312With loss 0.1267430099331721
epoch: 2313
Epoch 2313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2313With loss 0.1267430099331721
epoch: 2314
Epoch 2314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2314With loss 0.1267430099331721
epoch: 2315
Epoch 2315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2315With loss 0.1267430099331721
epoch: 2316
Epoch 2316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2316With loss 0.1267430099331721
epoch: 2317
Epoch 2317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2317With loss 0.1267430099331721
epoch: 2318
Epoch 2318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2318With loss 0.1267430099331721
epoch: 2319
Epoch 2319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2319With loss 0.1267430099331721
epoch: 2320
Epoch 2320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2320With loss 0.1267430099331721
epoch: 2321
Epoch 2321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2321With loss 0.1267430099331721
epoch: 2322
Epoch 2322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2322With loss 0.1267430099331721
epoch: 2323
Epoch 2323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2323With loss 0.1267430099331721
epoch: 2324
Epoch 2324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2324With loss 0.1267430099331721
epoch: 2325
Epoch 2325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2325With loss 0.1267430099331721
epoch: 2326
Epoch 2326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2326With loss 0.1267430099331721
epoch: 2327
Epoch 2327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2327With loss 0.1267430099331721
epoch: 2328
Epoch 2328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2328With loss 0.1267430099331721
epoch: 2329
Epoch 2329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2329With loss 0.1267430099331721
epoch: 2330
Epoch 2330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2330With loss 0.1267430099331721
epoch: 2331
Epoch 2331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2331With loss 0.1267430099331721
epoch: 2332
Epoch 2332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2332With loss 0.1267430099331721
epoch: 2333
Epoch 2333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2333With loss 0.1267430099331721
epoch: 2334
Epoch 2334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2334With loss 0.1267430099331721
epoch: 2335
Epoch 2335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2335With loss 0.1267430099331721
epoch: 2336
Epoch 2336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2336With loss 0.1267430099331721
epoch: 2337
Epoch 2337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2337With loss 0.1267430099331721
epoch: 2338
Epoch 2338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2338With loss 0.1267430099331721
epoch: 2339
Epoch 2339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2339With loss 0.1267430099331721
epoch: 2340
Epoch 2340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2340With loss 0.1267430099331721
epoch: 2341
Epoch 2341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2341With loss 0.1267430099331721
epoch: 2342
Epoch 2342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2342With loss 0.1267430099331721
epoch: 2343
Epoch 2343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2343With loss 0.1267430099331721
epoch: 2344
Epoch 2344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2344With loss 0.1267430099331721
epoch: 2345
Epoch 2345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2345With loss 0.1267430099331721
epoch: 2346
Epoch 2346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2346With loss 0.1267430099331721
epoch: 2347
Epoch 2347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2347With loss 0.1267430099331721
epoch: 2348
Epoch 2348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2348With loss 0.1267430099331721
epoch: 2349
Epoch 2349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2349With loss 0.1267430099331721
epoch: 2350
Epoch 2350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2350With loss 0.1267430099331721
epoch: 2351
Epoch 2351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2351With loss 0.1267430099331721
epoch: 2352
Epoch 2352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2352With loss 0.1267430099331721
epoch: 2353
Epoch 2353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2353With loss 0.1267430099331721
epoch: 2354
Epoch 2354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2354With loss 0.1267430099331721
epoch: 2355
Epoch 2355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2355With loss 0.1267430099331721
epoch: 2356
Epoch 2356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2356With loss 0.1267430099331721
epoch: 2357
Epoch 2357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2357With loss 0.1267430099331721
epoch: 2358
Epoch 2358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2358With loss 0.1267430099331721
epoch: 2359
Epoch 2359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2359With loss 0.1267430099331721
epoch: 2360
Epoch 2360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2360With loss 0.1267430099331721
epoch: 2361
Epoch 2361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2361With loss 0.1267430099331721
epoch: 2362
Epoch 2362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2362With loss 0.1267430099331721
epoch: 2363
Epoch 2363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2363With loss 0.1267430099331721
epoch: 2364
Epoch 2364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2364With loss 0.1267430099331721
epoch: 2365
Epoch 2365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2365With loss 0.1267430099331721
epoch: 2366
Epoch 2366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2366With loss 0.1267430099331721
epoch: 2367
Epoch 2367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2367With loss 0.1267430099331721
epoch: 2368
Epoch 2368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2368With loss 0.1267430099331721
epoch: 2369
Epoch 2369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2369With loss 0.1267430099331721
epoch: 2370
Epoch 2370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2370With loss 0.1267430099331721
epoch: 2371
Epoch 2371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2371With loss 0.1267430099331721
epoch: 2372
Epoch 2372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2372With loss 0.1267430099331721
epoch: 2373
Epoch 2373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2373With loss 0.1267430099331721
epoch: 2374
Epoch 2374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2374With loss 0.1267430099331721
epoch: 2375
Epoch 2375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2375With loss 0.1267430099331721
epoch: 2376
Epoch 2376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2376With loss 0.1267430099331721
epoch: 2377
Epoch 2377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2377With loss 0.1267430099331721
epoch: 2378
Epoch 2378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2378With loss 0.1267430099331721
epoch: 2379
Epoch 2379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2379With loss 0.1267430099331721
epoch: 2380
Epoch 2380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2380With loss 0.1267430099331721
epoch: 2381
Epoch 2381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2381With loss 0.1267430099331721
epoch: 2382
Epoch 2382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2382With loss 0.1267430099331721
epoch: 2383
Epoch 2383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2383With loss 0.1267430099331721
epoch: 2384
Epoch 2384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2384With loss 0.1267430099331721
epoch: 2385
Epoch 2385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2385With loss 0.1267430099331721
epoch: 2386
Epoch 2386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2386With loss 0.1267430099331721
epoch: 2387
Epoch 2387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2387With loss 0.1267430099331721
epoch: 2388
Epoch 2388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2388With loss 0.1267430099331721
epoch: 2389
Epoch 2389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2389With loss 0.1267430099331721
epoch: 2390
Epoch 2390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2390With loss 0.1267430099331721
epoch: 2391
Epoch 2391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2391With loss 0.1267430099331721
epoch: 2392
Epoch 2392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2392With loss 0.1267430099331721
epoch: 2393
Epoch 2393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2393With loss 0.1267430099331721
epoch: 2394
Epoch 2394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2394With loss 0.1267430099331721
epoch: 2395
Epoch 2395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2395With loss 0.1267430099331721
epoch: 2396
Epoch 2396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2396With loss 0.1267430099331721
epoch: 2397
Epoch 2397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2397With loss 0.1267430099331721
epoch: 2398
Epoch 2398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2398With loss 0.1267430099331721
epoch: 2399
Epoch 2399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2399With loss 0.1267430099331721
epoch: 2400
Epoch 2400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2400With loss 0.1267430099331721
epoch: 2401
Epoch 2401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2401With loss 0.1267430099331721
epoch: 2402
Epoch 2402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2402With loss 0.1267430099331721
epoch: 2403
Epoch 2403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2403With loss 0.1267430099331721
epoch: 2404
Epoch 2404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2404With loss 0.1267430099331721
epoch: 2405
Epoch 2405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2405With loss 0.1267430099331721
epoch: 2406
Epoch 2406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2406With loss 0.1267430099331721
epoch: 2407
Epoch 2407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2407With loss 0.1267430099331721
epoch: 2408
Epoch 2408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2408With loss 0.1267430099331721
epoch: 2409
Epoch 2409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2409With loss 0.1267430099331721
epoch: 2410
Epoch 2410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2410With loss 0.1267430099331721
epoch: 2411
Epoch 2411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2411With loss 0.1267430099331721
epoch: 2412
Epoch 2412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2412With loss 0.1267430099331721
epoch: 2413
Epoch 2413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2413With loss 0.1267430099331721
epoch: 2414
Epoch 2414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2414With loss 0.1267430099331721
epoch: 2415
Epoch 2415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2415With loss 0.1267430099331721
epoch: 2416
Epoch 2416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2416With loss 0.1267430099331721
epoch: 2417
Epoch 2417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2417With loss 0.1267430099331721
epoch: 2418
Epoch 2418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2418With loss 0.1267430099331721
epoch: 2419
Epoch 2419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2419With loss 0.1267430099331721
epoch: 2420
Epoch 2420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2420With loss 0.1267430099331721
epoch: 2421
Epoch 2421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2421With loss 0.1267430099331721
epoch: 2422
Epoch 2422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2422With loss 0.1267430099331721
epoch: 2423
Epoch 2423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2423With loss 0.1267430099331721
epoch: 2424
Epoch 2424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2424With loss 0.1267430099331721
epoch: 2425
Epoch 2425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2425With loss 0.1267430099331721
epoch: 2426
Epoch 2426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2426With loss 0.1267430099331721
epoch: 2427
Epoch 2427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2427With loss 0.1267430099331721
epoch: 2428
Epoch 2428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2428With loss 0.1267430099331721
epoch: 2429
Epoch 2429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2429With loss 0.1267430099331721
epoch: 2430
Epoch 2430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2430With loss 0.1267430099331721
epoch: 2431
Epoch 2431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2431With loss 0.1267430099331721
epoch: 2432
Epoch 2432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2432With loss 0.1267430099331721
epoch: 2433
Epoch 2433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2433With loss 0.1267430099331721
epoch: 2434
Epoch 2434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2434With loss 0.1267430099331721
epoch: 2435
Epoch 2435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2435With loss 0.1267430099331721
epoch: 2436
Epoch 2436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2436With loss 0.1267430099331721
epoch: 2437
Epoch 2437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2437With loss 0.1267430099331721
epoch: 2438
Epoch 2438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2438With loss 0.1267430099331721
epoch: 2439
Epoch 2439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2439With loss 0.1267430099331721
epoch: 2440
Epoch 2440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2440With loss 0.1267430099331721
epoch: 2441
Epoch 2441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2441With loss 0.1267430099331721
epoch: 2442
Epoch 2442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2442With loss 0.1267430099331721
epoch: 2443
Epoch 2443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2443With loss 0.1267430099331721
epoch: 2444
Epoch 2444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2444With loss 0.1267430099331721
epoch: 2445
Epoch 2445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2445With loss 0.1267430099331721
epoch: 2446
Epoch 2446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2446With loss 0.1267430099331721
epoch: 2447
Epoch 2447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2447With loss 0.1267430099331721
epoch: 2448
Epoch 2448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2448With loss 0.1267430099331721
epoch: 2449
Epoch 2449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2449With loss 0.1267430099331721
epoch: 2450
Epoch 2450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2450With loss 0.1267430099331721
epoch: 2451
Epoch 2451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2451With loss 0.1267430099331721
epoch: 2452
Epoch 2452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2452With loss 0.1267430099331721
epoch: 2453
Epoch 2453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2453With loss 0.1267430099331721
epoch: 2454
Epoch 2454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2454With loss 0.1267430099331721
epoch: 2455
Epoch 2455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2455With loss 0.1267430099331721
epoch: 2456
Epoch 2456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2456With loss 0.1267430099331721
epoch: 2457
Epoch 2457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2457With loss 0.1267430099331721
epoch: 2458
Epoch 2458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2458With loss 0.1267430099331721
epoch: 2459
Epoch 2459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2459With loss 0.1267430099331721
epoch: 2460
Epoch 2460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2460With loss 0.1267430099331721
epoch: 2461
Epoch 2461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2461With loss 0.1267430099331721
epoch: 2462
Epoch 2462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2462With loss 0.1267430099331721
epoch: 2463
Epoch 2463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2463With loss 0.1267430099331721
epoch: 2464
Epoch 2464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2464With loss 0.1267430099331721
epoch: 2465
Epoch 2465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2465With loss 0.1267430099331721
epoch: 2466
Epoch 2466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2466With loss 0.1267430099331721
epoch: 2467
Epoch 2467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2467With loss 0.1267430099331721
epoch: 2468
Epoch 2468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2468With loss 0.1267430099331721
epoch: 2469
Epoch 2469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2469With loss 0.1267430099331721
epoch: 2470
Epoch 2470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2470With loss 0.1267430099331721
epoch: 2471
Epoch 2471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2471With loss 0.1267430099331721
epoch: 2472
Epoch 2472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2472With loss 0.1267430099331721
epoch: 2473
Epoch 2473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2473With loss 0.1267430099331721
epoch: 2474
Epoch 2474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2474With loss 0.1267430099331721
epoch: 2475
Epoch 2475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2475With loss 0.1267430099331721
epoch: 2476
Epoch 2476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2476With loss 0.1267430099331721
epoch: 2477
Epoch 2477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2477With loss 0.1267430099331721
epoch: 2478
Epoch 2478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2478With loss 0.1267430099331721
epoch: 2479
Epoch 2479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2479With loss 0.1267430099331721
epoch: 2480
Epoch 2480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2480With loss 0.1267430099331721
epoch: 2481
Epoch 2481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2481With loss 0.1267430099331721
epoch: 2482
Epoch 2482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2482With loss 0.1267430099331721
epoch: 2483
Epoch 2483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2483With loss 0.1267430099331721
epoch: 2484
Epoch 2484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2484With loss 0.1267430099331721
epoch: 2485
Epoch 2485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2485With loss 0.1267430099331721
epoch: 2486
Epoch 2486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2486With loss 0.1267430099331721
epoch: 2487
Epoch 2487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2487With loss 0.1267430099331721
epoch: 2488
Epoch 2488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2488With loss 0.1267430099331721
epoch: 2489
Epoch 2489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2489With loss 0.1267430099331721
epoch: 2490
Epoch 2490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2490With loss 0.1267430099331721
epoch: 2491
Epoch 2491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2491With loss 0.1267430099331721
epoch: 2492
Epoch 2492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2492With loss 0.1267430099331721
epoch: 2493
Epoch 2493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2493With loss 0.1267430099331721
epoch: 2494
Epoch 2494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2494With loss 0.1267430099331721
epoch: 2495
Epoch 2495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2495With loss 0.1267430099331721
epoch: 2496
Epoch 2496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2496With loss 0.1267430099331721
epoch: 2497
Epoch 2497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2497With loss 0.1267430099331721
epoch: 2498
Epoch 2498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2498With loss 0.1267430099331721
epoch: 2499
Epoch 2499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2499With loss 0.1267430099331721
epoch: 2500
Epoch 2500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2500With loss 0.1267430099331721
epoch: 2501
Epoch 2501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2501With loss 0.1267430099331721
epoch: 2502
Epoch 2502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2502With loss 0.1267430099331721
epoch: 2503
Epoch 2503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2503With loss 0.1267430099331721
epoch: 2504
Epoch 2504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2504With loss 0.1267430099331721
epoch: 2505
Epoch 2505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2505With loss 0.1267430099331721
epoch: 2506
Epoch 2506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2506With loss 0.1267430099331721
epoch: 2507
Epoch 2507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2507With loss 0.1267430099331721
epoch: 2508
Epoch 2508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2508With loss 0.1267430099331721
epoch: 2509
Epoch 2509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2509With loss 0.1267430099331721
epoch: 2510
Epoch 2510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2510With loss 0.1267430099331721
epoch: 2511
Epoch 2511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2511With loss 0.1267430099331721
epoch: 2512
Epoch 2512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2512With loss 0.1267430099331721
epoch: 2513
Epoch 2513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2513With loss 0.1267430099331721
epoch: 2514
Epoch 2514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2514With loss 0.1267430099331721
epoch: 2515
Epoch 2515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2515With loss 0.1267430099331721
epoch: 2516
Epoch 2516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2516With loss 0.1267430099331721
epoch: 2517
Epoch 2517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2517With loss 0.1267430099331721
epoch: 2518
Epoch 2518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2518With loss 0.1267430099331721
epoch: 2519
Epoch 2519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2519With loss 0.1267430099331721
epoch: 2520
Epoch 2520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2520With loss 0.1267430099331721
epoch: 2521
Epoch 2521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2521With loss 0.1267430099331721
epoch: 2522
Epoch 2522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2522With loss 0.1267430099331721
epoch: 2523
Epoch 2523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2523With loss 0.1267430099331721
epoch: 2524
Epoch 2524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2524With loss 0.1267430099331721
epoch: 2525
Epoch 2525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2525With loss 0.1267430099331721
epoch: 2526
Epoch 2526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2526With loss 0.1267430099331721
epoch: 2527
Epoch 2527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2527With loss 0.1267430099331721
epoch: 2528
Epoch 2528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2528With loss 0.1267430099331721
epoch: 2529
Epoch 2529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2529With loss 0.1267430099331721
epoch: 2530
Epoch 2530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2530With loss 0.1267430099331721
epoch: 2531
Epoch 2531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2531With loss 0.1267430099331721
epoch: 2532
Epoch 2532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2532With loss 0.1267430099331721
epoch: 2533
Epoch 2533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2533With loss 0.1267430099331721
epoch: 2534
Epoch 2534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2534With loss 0.1267430099331721
epoch: 2535
Epoch 2535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2535With loss 0.1267430099331721
epoch: 2536
Epoch 2536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2536With loss 0.1267430099331721
epoch: 2537
Epoch 2537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2537With loss 0.1267430099331721
epoch: 2538
Epoch 2538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2538With loss 0.1267430099331721
epoch: 2539
Epoch 2539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2539With loss 0.1267430099331721
epoch: 2540
Epoch 2540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2540With loss 0.1267430099331721
epoch: 2541
Epoch 2541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2541With loss 0.1267430099331721
epoch: 2542
Epoch 2542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2542With loss 0.1267430099331721
epoch: 2543
Epoch 2543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2543With loss 0.1267430099331721
epoch: 2544
Epoch 2544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2544With loss 0.1267430099331721
epoch: 2545
Epoch 2545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2545With loss 0.1267430099331721
epoch: 2546
Epoch 2546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2546With loss 0.1267430099331721
epoch: 2547
Epoch 2547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2547With loss 0.1267430099331721
epoch: 2548
Epoch 2548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2548With loss 0.1267430099331721
epoch: 2549
Epoch 2549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2549With loss 0.1267430099331721
epoch: 2550
Epoch 2550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2550With loss 0.1267430099331721
epoch: 2551
Epoch 2551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2551With loss 0.1267430099331721
epoch: 2552
Epoch 2552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2552With loss 0.1267430099331721
epoch: 2553
Epoch 2553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2553With loss 0.1267430099331721
epoch: 2554
Epoch 2554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2554With loss 0.1267430099331721
epoch: 2555
Epoch 2555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2555With loss 0.1267430099331721
epoch: 2556
Epoch 2556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2556With loss 0.1267430099331721
epoch: 2557
Epoch 2557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2557With loss 0.1267430099331721
epoch: 2558
Epoch 2558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2558With loss 0.1267430099331721
epoch: 2559
Epoch 2559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2559With loss 0.1267430099331721
epoch: 2560
Epoch 2560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2560With loss 0.1267430099331721
epoch: 2561
Epoch 2561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2561With loss 0.1267430099331721
epoch: 2562
Epoch 2562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2562With loss 0.1267430099331721
epoch: 2563
Epoch 2563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2563With loss 0.1267430099331721
epoch: 2564
Epoch 2564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2564With loss 0.1267430099331721
epoch: 2565
Epoch 2565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2565With loss 0.1267430099331721
epoch: 2566
Epoch 2566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2566With loss 0.1267430099331721
epoch: 2567
Epoch 2567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2567With loss 0.1267430099331721
epoch: 2568
Epoch 2568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2568With loss 0.1267430099331721
epoch: 2569
Epoch 2569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2569With loss 0.1267430099331721
epoch: 2570
Epoch 2570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2570With loss 0.1267430099331721
epoch: 2571
Epoch 2571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2571With loss 0.1267430099331721
epoch: 2572
Epoch 2572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2572With loss 0.1267430099331721
epoch: 2573
Epoch 2573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2573With loss 0.1267430099331721
epoch: 2574
Epoch 2574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2574With loss 0.1267430099331721
epoch: 2575
Epoch 2575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2575With loss 0.1267430099331721
epoch: 2576
Epoch 2576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2576With loss 0.1267430099331721
epoch: 2577
Epoch 2577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2577With loss 0.1267430099331721
epoch: 2578
Epoch 2578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2578With loss 0.1267430099331721
epoch: 2579
Epoch 2579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2579With loss 0.1267430099331721
epoch: 2580
Epoch 2580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2580With loss 0.1267430099331721
epoch: 2581
Epoch 2581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2581With loss 0.1267430099331721
epoch: 2582
Epoch 2582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2582With loss 0.1267430099331721
epoch: 2583
Epoch 2583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2583With loss 0.1267430099331721
epoch: 2584
Epoch 2584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2584With loss 0.1267430099331721
epoch: 2585
Epoch 2585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2585With loss 0.1267430099331721
epoch: 2586
Epoch 2586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2586With loss 0.1267430099331721
epoch: 2587
Epoch 2587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2587With loss 0.1267430099331721
epoch: 2588
Epoch 2588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2588With loss 0.1267430099331721
epoch: 2589
Epoch 2589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2589With loss 0.1267430099331721
epoch: 2590
Epoch 2590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2590With loss 0.1267430099331721
epoch: 2591
Epoch 2591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2591With loss 0.1267430099331721
epoch: 2592
Epoch 2592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2592With loss 0.1267430099331721
epoch: 2593
Epoch 2593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2593With loss 0.1267430099331721
epoch: 2594
Epoch 2594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2594With loss 0.1267430099331721
epoch: 2595
Epoch 2595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2595With loss 0.1267430099331721
epoch: 2596
Epoch 2596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2596With loss 0.1267430099331721
epoch: 2597
Epoch 2597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2597With loss 0.1267430099331721
epoch: 2598
Epoch 2598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2598With loss 0.1267430099331721
epoch: 2599
Epoch 2599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2599With loss 0.1267430099331721
epoch: 2600
Epoch 2600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2600With loss 0.1267430099331721
epoch: 2601
Epoch 2601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2601With loss 0.1267430099331721
epoch: 2602
Epoch 2602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2602With loss 0.1267430099331721
epoch: 2603
Epoch 2603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2603With loss 0.1267430099331721
epoch: 2604
Epoch 2604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2604With loss 0.1267430099331721
epoch: 2605
Epoch 2605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2605With loss 0.1267430099331721
epoch: 2606
Epoch 2606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2606With loss 0.1267430099331721
epoch: 2607
Epoch 2607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2607With loss 0.1267430099331721
epoch: 2608
Epoch 2608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2608With loss 0.1267430099331721
epoch: 2609
Epoch 2609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2609With loss 0.1267430099331721
epoch: 2610
Epoch 2610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2610With loss 0.1267430099331721
epoch: 2611
Epoch 2611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2611With loss 0.1267430099331721
epoch: 2612
Epoch 2612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2612With loss 0.1267430099331721
epoch: 2613
Epoch 2613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2613With loss 0.1267430099331721
epoch: 2614
Epoch 2614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2614With loss 0.1267430099331721
epoch: 2615
Epoch 2615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2615With loss 0.1267430099331721
epoch: 2616
Epoch 2616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2616With loss 0.1267430099331721
epoch: 2617
Epoch 2617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2617With loss 0.1267430099331721
epoch: 2618
Epoch 2618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2618With loss 0.1267430099331721
epoch: 2619
Epoch 2619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2619With loss 0.1267430099331721
epoch: 2620
Epoch 2620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2620With loss 0.1267430099331721
epoch: 2621
Epoch 2621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2621With loss 0.1267430099331721
epoch: 2622
Epoch 2622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2622With loss 0.1267430099331721
epoch: 2623
Epoch 2623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2623With loss 0.1267430099331721
epoch: 2624
Epoch 2624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2624With loss 0.1267430099331721
epoch: 2625
Epoch 2625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2625With loss 0.1267430099331721
epoch: 2626
Epoch 2626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2626With loss 0.1267430099331721
epoch: 2627
Epoch 2627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2627With loss 0.1267430099331721
epoch: 2628
Epoch 2628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2628With loss 0.1267430099331721
epoch: 2629
Epoch 2629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2629With loss 0.1267430099331721
epoch: 2630
Epoch 2630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2630With loss 0.1267430099331721
epoch: 2631
Epoch 2631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2631With loss 0.1267430099331721
epoch: 2632
Epoch 2632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2632With loss 0.1267430099331721
epoch: 2633
Epoch 2633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2633With loss 0.1267430099331721
epoch: 2634
Epoch 2634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2634With loss 0.1267430099331721
epoch: 2635
Epoch 2635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2635With loss 0.1267430099331721
epoch: 2636
Epoch 2636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2636With loss 0.1267430099331721
epoch: 2637
Epoch 2637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2637With loss 0.1267430099331721
epoch: 2638
Epoch 2638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2638With loss 0.1267430099331721
epoch: 2639
Epoch 2639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2639With loss 0.1267430099331721
epoch: 2640
Epoch 2640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2640With loss 0.1267430099331721
epoch: 2641
Epoch 2641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2641With loss 0.1267430099331721
epoch: 2642
Epoch 2642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2642With loss 0.1267430099331721
epoch: 2643
Epoch 2643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2643With loss 0.1267430099331721
epoch: 2644
Epoch 2644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2644With loss 0.1267430099331721
epoch: 2645
Epoch 2645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2645With loss 0.1267430099331721
epoch: 2646
Epoch 2646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2646With loss 0.1267430099331721
epoch: 2647
Epoch 2647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2647With loss 0.1267430099331721
epoch: 2648
Epoch 2648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2648With loss 0.1267430099331721
epoch: 2649
Epoch 2649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2649With loss 0.1267430099331721
epoch: 2650
Epoch 2650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2650With loss 0.1267430099331721
epoch: 2651
Epoch 2651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2651With loss 0.1267430099331721
epoch: 2652
Epoch 2652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2652With loss 0.1267430099331721
epoch: 2653
Epoch 2653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2653With loss 0.1267430099331721
epoch: 2654
Epoch 2654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2654With loss 0.1267430099331721
epoch: 2655
Epoch 2655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2655With loss 0.1267430099331721
epoch: 2656
Epoch 2656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2656With loss 0.1267430099331721
epoch: 2657
Epoch 2657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2657With loss 0.1267430099331721
epoch: 2658
Epoch 2658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2658With loss 0.1267430099331721
epoch: 2659
Epoch 2659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2659With loss 0.1267430099331721
epoch: 2660
Epoch 2660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2660With loss 0.1267430099331721
epoch: 2661
Epoch 2661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2661With loss 0.1267430099331721
epoch: 2662
Epoch 2662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2662With loss 0.1267430099331721
epoch: 2663
Epoch 2663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2663With loss 0.1267430099331721
epoch: 2664
Epoch 2664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2664With loss 0.1267430099331721
epoch: 2665
Epoch 2665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2665With loss 0.1267430099331721
epoch: 2666
Epoch 2666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2666With loss 0.1267430099331721
epoch: 2667
Epoch 2667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2667With loss 0.1267430099331721
epoch: 2668
Epoch 2668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2668With loss 0.1267430099331721
epoch: 2669
Epoch 2669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2669With loss 0.1267430099331721
epoch: 2670
Epoch 2670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2670With loss 0.1267430099331721
epoch: 2671
Epoch 2671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2671With loss 0.1267430099331721
epoch: 2672
Epoch 2672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2672With loss 0.1267430099331721
epoch: 2673
Epoch 2673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2673With loss 0.1267430099331721
epoch: 2674
Epoch 2674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2674With loss 0.1267430099331721
epoch: 2675
Epoch 2675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2675With loss 0.1267430099331721
epoch: 2676
Epoch 2676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2676With loss 0.1267430099331721
epoch: 2677
Epoch 2677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2677With loss 0.1267430099331721
epoch: 2678
Epoch 2678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2678With loss 0.1267430099331721
epoch: 2679
Epoch 2679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2679With loss 0.1267430099331721
epoch: 2680
Epoch 2680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2680With loss 0.1267430099331721
epoch: 2681
Epoch 2681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2681With loss 0.1267430099331721
epoch: 2682
Epoch 2682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2682With loss 0.1267430099331721
epoch: 2683
Epoch 2683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2683With loss 0.1267430099331721
epoch: 2684
Epoch 2684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2684With loss 0.1267430099331721
epoch: 2685
Epoch 2685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2685With loss 0.1267430099331721
epoch: 2686
Epoch 2686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2686With loss 0.1267430099331721
epoch: 2687
Epoch 2687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2687With loss 0.1267430099331721
epoch: 2688
Epoch 2688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2688With loss 0.1267430099331721
epoch: 2689
Epoch 2689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2689With loss 0.1267430099331721
epoch: 2690
Epoch 2690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2690With loss 0.1267430099331721
epoch: 2691
Epoch 2691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2691With loss 0.1267430099331721
epoch: 2692
Epoch 2692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2692With loss 0.1267430099331721
epoch: 2693
Epoch 2693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2693With loss 0.1267430099331721
epoch: 2694
Epoch 2694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2694With loss 0.1267430099331721
epoch: 2695
Epoch 2695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2695With loss 0.1267430099331721
epoch: 2696
Epoch 2696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2696With loss 0.1267430099331721
epoch: 2697
Epoch 2697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2697With loss 0.1267430099331721
epoch: 2698
Epoch 2698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2698With loss 0.1267430099331721
epoch: 2699
Epoch 2699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2699With loss 0.1267430099331721
epoch: 2700
Epoch 2700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2700With loss 0.1267430099331721
epoch: 2701
Epoch 2701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2701With loss 0.1267430099331721
epoch: 2702
Epoch 2702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2702With loss 0.1267430099331721
epoch: 2703
Epoch 2703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2703With loss 0.1267430099331721
epoch: 2704
Epoch 2704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2704With loss 0.1267430099331721
epoch: 2705
Epoch 2705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2705With loss 0.1267430099331721
epoch: 2706
Epoch 2706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2706With loss 0.1267430099331721
epoch: 2707
Epoch 2707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2707With loss 0.1267430099331721
epoch: 2708
Epoch 2708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2708With loss 0.1267430099331721
epoch: 2709
Epoch 2709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2709With loss 0.1267430099331721
epoch: 2710
Epoch 2710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2710With loss 0.1267430099331721
epoch: 2711
Epoch 2711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2711With loss 0.1267430099331721
epoch: 2712
Epoch 2712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2712With loss 0.1267430099331721
epoch: 2713
Epoch 2713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2713With loss 0.1267430099331721
epoch: 2714
Epoch 2714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2714With loss 0.1267430099331721
epoch: 2715
Epoch 2715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2715With loss 0.1267430099331721
epoch: 2716
Epoch 2716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2716With loss 0.1267430099331721
epoch: 2717
Epoch 2717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2717With loss 0.1267430099331721
epoch: 2718
Epoch 2718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2718With loss 0.1267430099331721
epoch: 2719
Epoch 2719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2719With loss 0.1267430099331721
epoch: 2720
Epoch 2720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2720With loss 0.1267430099331721
epoch: 2721
Epoch 2721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2721With loss 0.1267430099331721
epoch: 2722
Epoch 2722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2722With loss 0.1267430099331721
epoch: 2723
Epoch 2723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2723With loss 0.1267430099331721
epoch: 2724
Epoch 2724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2724With loss 0.1267430099331721
epoch: 2725
Epoch 2725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2725With loss 0.1267430099331721
epoch: 2726
Epoch 2726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2726With loss 0.1267430099331721
epoch: 2727
Epoch 2727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2727With loss 0.1267430099331721
epoch: 2728
Epoch 2728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2728With loss 0.1267430099331721
epoch: 2729
Epoch 2729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2729With loss 0.1267430099331721
epoch: 2730
Epoch 2730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2730With loss 0.1267430099331721
epoch: 2731
Epoch 2731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2731With loss 0.1267430099331721
epoch: 2732
Epoch 2732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2732With loss 0.1267430099331721
epoch: 2733
Epoch 2733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2733With loss 0.1267430099331721
epoch: 2734
Epoch 2734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2734With loss 0.1267430099331721
epoch: 2735
Epoch 2735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2735With loss 0.1267430099331721
epoch: 2736
Epoch 2736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2736With loss 0.1267430099331721
epoch: 2737
Epoch 2737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2737With loss 0.1267430099331721
epoch: 2738
Epoch 2738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2738With loss 0.1267430099331721
epoch: 2739
Epoch 2739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2739With loss 0.1267430099331721
epoch: 2740
Epoch 2740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2740With loss 0.1267430099331721
epoch: 2741
Epoch 2741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2741With loss 0.1267430099331721
epoch: 2742
Epoch 2742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2742With loss 0.1267430099331721
epoch: 2743
Epoch 2743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2743With loss 0.1267430099331721
epoch: 2744
Epoch 2744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2744With loss 0.1267430099331721
epoch: 2745
Epoch 2745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2745With loss 0.1267430099331721
epoch: 2746
Epoch 2746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2746With loss 0.1267430099331721
epoch: 2747
Epoch 2747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2747With loss 0.1267430099331721
epoch: 2748
Epoch 2748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2748With loss 0.1267430099331721
epoch: 2749
Epoch 2749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2749With loss 0.1267430099331721
epoch: 2750
Epoch 2750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2750With loss 0.1267430099331721
epoch: 2751
Epoch 2751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2751With loss 0.1267430099331721
epoch: 2752
Epoch 2752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2752With loss 0.1267430099331721
epoch: 2753
Epoch 2753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2753With loss 0.1267430099331721
epoch: 2754
Epoch 2754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2754With loss 0.1267430099331721
epoch: 2755
Epoch 2755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2755With loss 0.1267430099331721
epoch: 2756
Epoch 2756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2756With loss 0.1267430099331721
epoch: 2757
Epoch 2757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2757With loss 0.1267430099331721
epoch: 2758
Epoch 2758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2758With loss 0.1267430099331721
epoch: 2759
Epoch 2759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2759With loss 0.1267430099331721
epoch: 2760
Epoch 2760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2760With loss 0.1267430099331721
epoch: 2761
Epoch 2761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2761With loss 0.1267430099331721
epoch: 2762
Epoch 2762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2762With loss 0.1267430099331721
epoch: 2763
Epoch 2763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2763With loss 0.1267430099331721
epoch: 2764
Epoch 2764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2764With loss 0.1267430099331721
epoch: 2765
Epoch 2765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2765With loss 0.1267430099331721
epoch: 2766
Epoch 2766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2766With loss 0.1267430099331721
epoch: 2767
Epoch 2767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2767With loss 0.1267430099331721
epoch: 2768
Epoch 2768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2768With loss 0.1267430099331721
epoch: 2769
Epoch 2769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2769With loss 0.1267430099331721
epoch: 2770
Epoch 2770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2770With loss 0.1267430099331721
epoch: 2771
Epoch 2771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2771With loss 0.1267430099331721
epoch: 2772
Epoch 2772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2772With loss 0.1267430099331721
epoch: 2773
Epoch 2773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2773With loss 0.1267430099331721
epoch: 2774
Epoch 2774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2774With loss 0.1267430099331721
epoch: 2775
Epoch 2775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2775With loss 0.1267430099331721
epoch: 2776
Epoch 2776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2776With loss 0.1267430099331721
epoch: 2777
Epoch 2777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2777With loss 0.1267430099331721
epoch: 2778
Epoch 2778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2778With loss 0.1267430099331721
epoch: 2779
Epoch 2779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2779With loss 0.1267430099331721
epoch: 2780
Epoch 2780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2780With loss 0.1267430099331721
epoch: 2781
Epoch 2781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2781With loss 0.1267430099331721
epoch: 2782
Epoch 2782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2782With loss 0.1267430099331721
epoch: 2783
Epoch 2783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2783With loss 0.1267430099331721
epoch: 2784
Epoch 2784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2784With loss 0.1267430099331721
epoch: 2785
Epoch 2785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2785With loss 0.1267430099331721
epoch: 2786
Epoch 2786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2786With loss 0.1267430099331721
epoch: 2787
Epoch 2787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2787With loss 0.1267430099331721
epoch: 2788
Epoch 2788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2788With loss 0.1267430099331721
epoch: 2789
Epoch 2789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2789With loss 0.1267430099331721
epoch: 2790
Epoch 2790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2790With loss 0.1267430099331721
epoch: 2791
Epoch 2791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2791With loss 0.1267430099331721
epoch: 2792
Epoch 2792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2792With loss 0.1267430099331721
epoch: 2793
Epoch 2793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2793With loss 0.1267430099331721
epoch: 2794
Epoch 2794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2794With loss 0.1267430099331721
epoch: 2795
Epoch 2795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2795With loss 0.1267430099331721
epoch: 2796
Epoch 2796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2796With loss 0.1267430099331721
epoch: 2797
Epoch 2797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2797With loss 0.1267430099331721
epoch: 2798
Epoch 2798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2798With loss 0.1267430099331721
epoch: 2799
Epoch 2799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2799With loss 0.1267430099331721
epoch: 2800
Epoch 2800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2800With loss 0.1267430099331721
epoch: 2801
Epoch 2801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2801With loss 0.1267430099331721
epoch: 2802
Epoch 2802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2802With loss 0.1267430099331721
epoch: 2803
Epoch 2803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2803With loss 0.1267430099331721
epoch: 2804
Epoch 2804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2804With loss 0.1267430099331721
epoch: 2805
Epoch 2805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2805With loss 0.1267430099331721
epoch: 2806
Epoch 2806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2806With loss 0.1267430099331721
epoch: 2807
Epoch 2807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2807With loss 0.1267430099331721
epoch: 2808
Epoch 2808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2808With loss 0.1267430099331721
epoch: 2809
Epoch 2809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2809With loss 0.1267430099331721
epoch: 2810
Epoch 2810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2810With loss 0.1267430099331721
epoch: 2811
Epoch 2811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2811With loss 0.1267430099331721
epoch: 2812
Epoch 2812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2812With loss 0.1267430099331721
epoch: 2813
Epoch 2813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2813With loss 0.1267430099331721
epoch: 2814
Epoch 2814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2814With loss 0.1267430099331721
epoch: 2815
Epoch 2815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2815With loss 0.1267430099331721
epoch: 2816
Epoch 2816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2816With loss 0.1267430099331721
epoch: 2817
Epoch 2817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2817With loss 0.1267430099331721
epoch: 2818
Epoch 2818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2818With loss 0.1267430099331721
epoch: 2819
Epoch 2819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2819With loss 0.1267430099331721
epoch: 2820
Epoch 2820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2820With loss 0.1267430099331721
epoch: 2821
Epoch 2821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2821With loss 0.1267430099331721
epoch: 2822
Epoch 2822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2822With loss 0.1267430099331721
epoch: 2823
Epoch 2823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2823With loss 0.1267430099331721
epoch: 2824
Epoch 2824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2824With loss 0.1267430099331721
epoch: 2825
Epoch 2825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2825With loss 0.1267430099331721
epoch: 2826
Epoch 2826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2826With loss 0.1267430099331721
epoch: 2827
Epoch 2827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2827With loss 0.1267430099331721
epoch: 2828
Epoch 2828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2828With loss 0.1267430099331721
epoch: 2829
Epoch 2829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2829With loss 0.1267430099331721
epoch: 2830
Epoch 2830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2830With loss 0.1267430099331721
epoch: 2831
Epoch 2831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2831With loss 0.1267430099331721
epoch: 2832
Epoch 2832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2832With loss 0.1267430099331721
epoch: 2833
Epoch 2833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2833With loss 0.1267430099331721
epoch: 2834
Epoch 2834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2834With loss 0.1267430099331721
epoch: 2835
Epoch 2835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2835With loss 0.1267430099331721
epoch: 2836
Epoch 2836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2836With loss 0.1267430099331721
epoch: 2837
Epoch 2837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2837With loss 0.1267430099331721
epoch: 2838
Epoch 2838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2838With loss 0.1267430099331721
epoch: 2839
Epoch 2839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2839With loss 0.1267430099331721
epoch: 2840
Epoch 2840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2840With loss 0.1267430099331721
epoch: 2841
Epoch 2841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2841With loss 0.1267430099331721
epoch: 2842
Epoch 2842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2842With loss 0.1267430099331721
epoch: 2843
Epoch 2843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2843With loss 0.1267430099331721
epoch: 2844
Epoch 2844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2844With loss 0.1267430099331721
epoch: 2845
Epoch 2845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2845With loss 0.1267430099331721
epoch: 2846
Epoch 2846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2846With loss 0.1267430099331721
epoch: 2847
Epoch 2847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2847With loss 0.1267430099331721
epoch: 2848
Epoch 2848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2848With loss 0.1267430099331721
epoch: 2849
Epoch 2849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2849With loss 0.1267430099331721
epoch: 2850
Epoch 2850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2850With loss 0.1267430099331721
epoch: 2851
Epoch 2851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2851With loss 0.1267430099331721
epoch: 2852
Epoch 2852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2852With loss 0.1267430099331721
epoch: 2853
Epoch 2853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2853With loss 0.1267430099331721
epoch: 2854
Epoch 2854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2854With loss 0.1267430099331721
epoch: 2855
Epoch 2855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2855With loss 0.1267430099331721
epoch: 2856
Epoch 2856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2856With loss 0.1267430099331721
epoch: 2857
Epoch 2857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2857With loss 0.1267430099331721
epoch: 2858
Epoch 2858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2858With loss 0.1267430099331721
epoch: 2859
Epoch 2859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2859With loss 0.1267430099331721
epoch: 2860
Epoch 2860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2860With loss 0.1267430099331721
epoch: 2861
Epoch 2861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2861With loss 0.1267430099331721
epoch: 2862
Epoch 2862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2862With loss 0.1267430099331721
epoch: 2863
Epoch 2863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2863With loss 0.1267430099331721
epoch: 2864
Epoch 2864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2864With loss 0.1267430099331721
epoch: 2865
Epoch 2865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2865With loss 0.1267430099331721
epoch: 2866
Epoch 2866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2866With loss 0.1267430099331721
epoch: 2867
Epoch 2867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2867With loss 0.1267430099331721
epoch: 2868
Epoch 2868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2868With loss 0.1267430099331721
epoch: 2869
Epoch 2869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2869With loss 0.1267430099331721
epoch: 2870
Epoch 2870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2870With loss 0.1267430099331721
epoch: 2871
Epoch 2871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2871With loss 0.1267430099331721
epoch: 2872
Epoch 2872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2872With loss 0.1267430099331721
epoch: 2873
Epoch 2873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2873With loss 0.1267430099331721
epoch: 2874
Epoch 2874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2874With loss 0.1267430099331721
epoch: 2875
Epoch 2875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2875With loss 0.1267430099331721
epoch: 2876
Epoch 2876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2876With loss 0.1267430099331721
epoch: 2877
Epoch 2877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2877With loss 0.1267430099331721
epoch: 2878
Epoch 2878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2878With loss 0.1267430099331721
epoch: 2879
Epoch 2879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2879With loss 0.1267430099331721
epoch: 2880
Epoch 2880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2880With loss 0.1267430099331721
epoch: 2881
Epoch 2881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2881With loss 0.1267430099331721
epoch: 2882
Epoch 2882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2882With loss 0.1267430099331721
epoch: 2883
Epoch 2883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2883With loss 0.1267430099331721
epoch: 2884
Epoch 2884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2884With loss 0.1267430099331721
epoch: 2885
Epoch 2885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2885With loss 0.1267430099331721
epoch: 2886
Epoch 2886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2886With loss 0.1267430099331721
epoch: 2887
Epoch 2887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2887With loss 0.1267430099331721
epoch: 2888
Epoch 2888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2888With loss 0.1267430099331721
epoch: 2889
Epoch 2889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2889With loss 0.1267430099331721
epoch: 2890
Epoch 2890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2890With loss 0.1267430099331721
epoch: 2891
Epoch 2891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2891With loss 0.1267430099331721
epoch: 2892
Epoch 2892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2892With loss 0.1267430099331721
epoch: 2893
Epoch 2893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2893With loss 0.1267430099331721
epoch: 2894
Epoch 2894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2894With loss 0.1267430099331721
epoch: 2895
Epoch 2895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2895With loss 0.1267430099331721
epoch: 2896
Epoch 2896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2896With loss 0.1267430099331721
epoch: 2897
Epoch 2897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2897With loss 0.1267430099331721
epoch: 2898
Epoch 2898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2898With loss 0.1267430099331721
epoch: 2899
Epoch 2899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2899With loss 0.1267430099331721
epoch: 2900
Epoch 2900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2900With loss 0.1267430099331721
epoch: 2901
Epoch 2901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2901With loss 0.1267430099331721
epoch: 2902
Epoch 2902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2902With loss 0.1267430099331721
epoch: 2903
Epoch 2903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2903With loss 0.1267430099331721
epoch: 2904
Epoch 2904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2904With loss 0.1267430099331721
epoch: 2905
Epoch 2905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2905With loss 0.1267430099331721
epoch: 2906
Epoch 2906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2906With loss 0.1267430099331721
epoch: 2907
Epoch 2907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2907With loss 0.1267430099331721
epoch: 2908
Epoch 2908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2908With loss 0.1267430099331721
epoch: 2909
Epoch 2909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2909With loss 0.1267430099331721
epoch: 2910
Epoch 2910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2910With loss 0.1267430099331721
epoch: 2911
Epoch 2911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2911With loss 0.1267430099331721
epoch: 2912
Epoch 2912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2912With loss 0.1267430099331721
epoch: 2913
Epoch 2913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2913With loss 0.1267430099331721
epoch: 2914
Epoch 2914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2914With loss 0.1267430099331721
epoch: 2915
Epoch 2915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2915With loss 0.1267430099331721
epoch: 2916
Epoch 2916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2916With loss 0.1267430099331721
epoch: 2917
Epoch 2917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2917With loss 0.1267430099331721
epoch: 2918
Epoch 2918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2918With loss 0.1267430099331721
epoch: 2919
Epoch 2919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2919With loss 0.1267430099331721
epoch: 2920
Epoch 2920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2920With loss 0.1267430099331721
epoch: 2921
Epoch 2921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2921With loss 0.1267430099331721
epoch: 2922
Epoch 2922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2922With loss 0.1267430099331721
epoch: 2923
Epoch 2923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2923With loss 0.1267430099331721
epoch: 2924
Epoch 2924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2924With loss 0.1267430099331721
epoch: 2925
Epoch 2925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2925With loss 0.1267430099331721
epoch: 2926
Epoch 2926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2926With loss 0.1267430099331721
epoch: 2927
Epoch 2927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2927With loss 0.1267430099331721
epoch: 2928
Epoch 2928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2928With loss 0.1267430099331721
epoch: 2929
Epoch 2929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2929With loss 0.1267430099331721
epoch: 2930
Epoch 2930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2930With loss 0.1267430099331721
epoch: 2931
Epoch 2931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2931With loss 0.1267430099331721
epoch: 2932
Epoch 2932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2932With loss 0.1267430099331721
epoch: 2933
Epoch 2933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2933With loss 0.1267430099331721
epoch: 2934
Epoch 2934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2934With loss 0.1267430099331721
epoch: 2935
Epoch 2935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2935With loss 0.1267430099331721
epoch: 2936
Epoch 2936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2936With loss 0.1267430099331721
epoch: 2937
Epoch 2937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2937With loss 0.1267430099331721
epoch: 2938
Epoch 2938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2938With loss 0.1267430099331721
epoch: 2939
Epoch 2939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2939With loss 0.1267430099331721
epoch: 2940
Epoch 2940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2940With loss 0.1267430099331721
epoch: 2941
Epoch 2941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2941With loss 0.1267430099331721
epoch: 2942
Epoch 2942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2942With loss 0.1267430099331721
epoch: 2943
Epoch 2943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2943With loss 0.1267430099331721
epoch: 2944
Epoch 2944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2944With loss 0.1267430099331721
epoch: 2945
Epoch 2945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2945With loss 0.1267430099331721
epoch: 2946
Epoch 2946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2946With loss 0.1267430099331721
epoch: 2947
Epoch 2947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2947With loss 0.1267430099331721
epoch: 2948
Epoch 2948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2948With loss 0.1267430099331721
epoch: 2949
Epoch 2949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2949With loss 0.1267430099331721
epoch: 2950
Epoch 2950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2950With loss 0.1267430099331721
epoch: 2951
Epoch 2951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2951With loss 0.1267430099331721
epoch: 2952
Epoch 2952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2952With loss 0.1267430099331721
epoch: 2953
Epoch 2953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2953With loss 0.1267430099331721
epoch: 2954
Epoch 2954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2954With loss 0.1267430099331721
epoch: 2955
Epoch 2955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2955With loss 0.1267430099331721
epoch: 2956
Epoch 2956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2956With loss 0.1267430099331721
epoch: 2957
Epoch 2957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2957With loss 0.1267430099331721
epoch: 2958
Epoch 2958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2958With loss 0.1267430099331721
epoch: 2959
Epoch 2959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2959With loss 0.1267430099331721
epoch: 2960
Epoch 2960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2960With loss 0.1267430099331721
epoch: 2961
Epoch 2961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2961With loss 0.1267430099331721
epoch: 2962
Epoch 2962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2962With loss 0.1267430099331721
epoch: 2963
Epoch 2963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2963With loss 0.1267430099331721
epoch: 2964
Epoch 2964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2964With loss 0.1267430099331721
epoch: 2965
Epoch 2965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2965With loss 0.1267430099331721
epoch: 2966
Epoch 2966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2966With loss 0.1267430099331721
epoch: 2967
Epoch 2967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2967With loss 0.1267430099331721
epoch: 2968
Epoch 2968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2968With loss 0.1267430099331721
epoch: 2969
Epoch 2969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2969With loss 0.1267430099331721
epoch: 2970
Epoch 2970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2970With loss 0.1267430099331721
epoch: 2971
Epoch 2971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2971With loss 0.1267430099331721
epoch: 2972
Epoch 2972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2972With loss 0.1267430099331721
epoch: 2973
Epoch 2973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2973With loss 0.1267430099331721
epoch: 2974
Epoch 2974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2974With loss 0.1267430099331721
epoch: 2975
Epoch 2975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2975With loss 0.1267430099331721
epoch: 2976
Epoch 2976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2976With loss 0.1267430099331721
epoch: 2977
Epoch 2977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2977With loss 0.1267430099331721
epoch: 2978
Epoch 2978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2978With loss 0.1267430099331721
epoch: 2979
Epoch 2979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2979With loss 0.1267430099331721
epoch: 2980
Epoch 2980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2980With loss 0.1267430099331721
epoch: 2981
Epoch 2981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2981With loss 0.1267430099331721
epoch: 2982
Epoch 2982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2982With loss 0.1267430099331721
epoch: 2983
Epoch 2983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2983With loss 0.1267430099331721
epoch: 2984
Epoch 2984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2984With loss 0.1267430099331721
epoch: 2985
Epoch 2985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2985With loss 0.1267430099331721
epoch: 2986
Epoch 2986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2986With loss 0.1267430099331721
epoch: 2987
Epoch 2987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2987With loss 0.1267430099331721
epoch: 2988
Epoch 2988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2988With loss 0.1267430099331721
epoch: 2989
Epoch 2989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2989With loss 0.1267430099331721
epoch: 2990
Epoch 2990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2990With loss 0.1267430099331721
epoch: 2991
Epoch 2991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2991With loss 0.1267430099331721
epoch: 2992
Epoch 2992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2992With loss 0.1267430099331721
epoch: 2993
Epoch 2993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2993With loss 0.1267430099331721
epoch: 2994
Epoch 2994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2994With loss 0.1267430099331721
epoch: 2995
Epoch 2995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2995With loss 0.1267430099331721
epoch: 2996
Epoch 2996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2996With loss 0.1267430099331721
epoch: 2997
Epoch 2997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2997With loss 0.1267430099331721
epoch: 2998
Epoch 2998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2998With loss 0.1267430099331721
epoch: 2999
Epoch 2999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 2999With loss 0.1267430099331721
epoch: 3000
Epoch 3000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3000With loss 0.1267430099331721
epoch: 3001
Epoch 3001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3001With loss 0.1267430099331721
epoch: 3002
Epoch 3002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3002With loss 0.1267430099331721
epoch: 3003
Epoch 3003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3003With loss 0.1267430099331721
epoch: 3004
Epoch 3004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3004With loss 0.1267430099331721
epoch: 3005
Epoch 3005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3005With loss 0.1267430099331721
epoch: 3006
Epoch 3006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3006With loss 0.1267430099331721
epoch: 3007
Epoch 3007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3007With loss 0.1267430099331721
epoch: 3008
Epoch 3008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3008With loss 0.1267430099331721
epoch: 3009
Epoch 3009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3009With loss 0.1267430099331721
epoch: 3010
Epoch 3010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3010With loss 0.1267430099331721
epoch: 3011
Epoch 3011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3011With loss 0.1267430099331721
epoch: 3012
Epoch 3012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3012With loss 0.1267430099331721
epoch: 3013
Epoch 3013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3013With loss 0.1267430099331721
epoch: 3014
Epoch 3014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3014With loss 0.1267430099331721
epoch: 3015
Epoch 3015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3015With loss 0.1267430099331721
epoch: 3016
Epoch 3016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3016With loss 0.1267430099331721
epoch: 3017
Epoch 3017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3017With loss 0.1267430099331721
epoch: 3018
Epoch 3018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3018With loss 0.1267430099331721
epoch: 3019
Epoch 3019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3019With loss 0.1267430099331721
epoch: 3020
Epoch 3020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3020With loss 0.1267430099331721
epoch: 3021
Epoch 3021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3021With loss 0.1267430099331721
epoch: 3022
Epoch 3022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3022With loss 0.1267430099331721
epoch: 3023
Epoch 3023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3023With loss 0.1267430099331721
epoch: 3024
Epoch 3024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3024With loss 0.1267430099331721
epoch: 3025
Epoch 3025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3025With loss 0.1267430099331721
epoch: 3026
Epoch 3026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3026With loss 0.1267430099331721
epoch: 3027
Epoch 3027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3027With loss 0.1267430099331721
epoch: 3028
Epoch 3028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3028With loss 0.1267430099331721
epoch: 3029
Epoch 3029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3029With loss 0.1267430099331721
epoch: 3030
Epoch 3030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3030With loss 0.1267430099331721
epoch: 3031
Epoch 3031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3031With loss 0.1267430099331721
epoch: 3032
Epoch 3032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3032With loss 0.1267430099331721
epoch: 3033
Epoch 3033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3033With loss 0.1267430099331721
epoch: 3034
Epoch 3034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3034With loss 0.1267430099331721
epoch: 3035
Epoch 3035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3035With loss 0.1267430099331721
epoch: 3036
Epoch 3036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3036With loss 0.1267430099331721
epoch: 3037
Epoch 3037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3037With loss 0.1267430099331721
epoch: 3038
Epoch 3038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3038With loss 0.1267430099331721
epoch: 3039
Epoch 3039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3039With loss 0.1267430099331721
epoch: 3040
Epoch 3040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3040With loss 0.1267430099331721
epoch: 3041
Epoch 3041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3041With loss 0.1267430099331721
epoch: 3042
Epoch 3042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3042With loss 0.1267430099331721
epoch: 3043
Epoch 3043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3043With loss 0.1267430099331721
epoch: 3044
Epoch 3044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3044With loss 0.1267430099331721
epoch: 3045
Epoch 3045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3045With loss 0.1267430099331721
epoch: 3046
Epoch 3046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3046With loss 0.1267430099331721
epoch: 3047
Epoch 3047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3047With loss 0.1267430099331721
epoch: 3048
Epoch 3048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3048With loss 0.1267430099331721
epoch: 3049
Epoch 3049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3049With loss 0.1267430099331721
epoch: 3050
Epoch 3050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3050With loss 0.1267430099331721
epoch: 3051
Epoch 3051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3051With loss 0.1267430099331721
epoch: 3052
Epoch 3052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3052With loss 0.1267430099331721
epoch: 3053
Epoch 3053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3053With loss 0.1267430099331721
epoch: 3054
Epoch 3054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3054With loss 0.1267430099331721
epoch: 3055
Epoch 3055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3055With loss 0.1267430099331721
epoch: 3056
Epoch 3056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3056With loss 0.1267430099331721
epoch: 3057
Epoch 3057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3057With loss 0.1267430099331721
epoch: 3058
Epoch 3058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3058With loss 0.1267430099331721
epoch: 3059
Epoch 3059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3059With loss 0.1267430099331721
epoch: 3060
Epoch 3060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3060With loss 0.1267430099331721
epoch: 3061
Epoch 3061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3061With loss 0.1267430099331721
epoch: 3062
Epoch 3062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3062With loss 0.1267430099331721
epoch: 3063
Epoch 3063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3063With loss 0.1267430099331721
epoch: 3064
Epoch 3064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3064With loss 0.1267430099331721
epoch: 3065
Epoch 3065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3065With loss 0.1267430099331721
epoch: 3066
Epoch 3066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3066With loss 0.1267430099331721
epoch: 3067
Epoch 3067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3067With loss 0.1267430099331721
epoch: 3068
Epoch 3068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3068With loss 0.1267430099331721
epoch: 3069
Epoch 3069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3069With loss 0.1267430099331721
epoch: 3070
Epoch 3070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3070With loss 0.1267430099331721
epoch: 3071
Epoch 3071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3071With loss 0.1267430099331721
epoch: 3072
Epoch 3072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3072With loss 0.1267430099331721
epoch: 3073
Epoch 3073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3073With loss 0.1267430099331721
epoch: 3074
Epoch 3074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3074With loss 0.1267430099331721
epoch: 3075
Epoch 3075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3075With loss 0.1267430099331721
epoch: 3076
Epoch 3076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3076With loss 0.1267430099331721
epoch: 3077
Epoch 3077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3077With loss 0.1267430099331721
epoch: 3078
Epoch 3078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3078With loss 0.1267430099331721
epoch: 3079
Epoch 3079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3079With loss 0.1267430099331721
epoch: 3080
Epoch 3080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3080With loss 0.1267430099331721
epoch: 3081
Epoch 3081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3081With loss 0.1267430099331721
epoch: 3082
Epoch 3082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3082With loss 0.1267430099331721
epoch: 3083
Epoch 3083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3083With loss 0.1267430099331721
epoch: 3084
Epoch 3084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3084With loss 0.1267430099331721
epoch: 3085
Epoch 3085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3085With loss 0.1267430099331721
epoch: 3086
Epoch 3086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3086With loss 0.1267430099331721
epoch: 3087
Epoch 3087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3087With loss 0.1267430099331721
epoch: 3088
Epoch 3088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3088With loss 0.1267430099331721
epoch: 3089
Epoch 3089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3089With loss 0.1267430099331721
epoch: 3090
Epoch 3090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3090With loss 0.1267430099331721
epoch: 3091
Epoch 3091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3091With loss 0.1267430099331721
epoch: 3092
Epoch 3092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3092With loss 0.1267430099331721
epoch: 3093
Epoch 3093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3093With loss 0.1267430099331721
epoch: 3094
Epoch 3094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3094With loss 0.1267430099331721
epoch: 3095
Epoch 3095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3095With loss 0.1267430099331721
epoch: 3096
Epoch 3096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3096With loss 0.1267430099331721
epoch: 3097
Epoch 3097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3097With loss 0.1267430099331721
epoch: 3098
Epoch 3098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3098With loss 0.1267430099331721
epoch: 3099
Epoch 3099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3099With loss 0.1267430099331721
epoch: 3100
Epoch 3100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3100With loss 0.1267430099331721
epoch: 3101
Epoch 3101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3101With loss 0.1267430099331721
epoch: 3102
Epoch 3102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3102With loss 0.1267430099331721
epoch: 3103
Epoch 3103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3103With loss 0.1267430099331721
epoch: 3104
Epoch 3104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3104With loss 0.1267430099331721
epoch: 3105
Epoch 3105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3105With loss 0.1267430099331721
epoch: 3106
Epoch 3106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3106With loss 0.1267430099331721
epoch: 3107
Epoch 3107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3107With loss 0.1267430099331721
epoch: 3108
Epoch 3108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3108With loss 0.1267430099331721
epoch: 3109
Epoch 3109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3109With loss 0.1267430099331721
epoch: 3110
Epoch 3110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3110With loss 0.1267430099331721
epoch: 3111
Epoch 3111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3111With loss 0.1267430099331721
epoch: 3112
Epoch 3112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3112With loss 0.1267430099331721
epoch: 3113
Epoch 3113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3113With loss 0.1267430099331721
epoch: 3114
Epoch 3114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3114With loss 0.1267430099331721
epoch: 3115
Epoch 3115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3115With loss 0.1267430099331721
epoch: 3116
Epoch 3116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3116With loss 0.1267430099331721
epoch: 3117
Epoch 3117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3117With loss 0.1267430099331721
epoch: 3118
Epoch 3118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3118With loss 0.1267430099331721
epoch: 3119
Epoch 3119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3119With loss 0.1267430099331721
epoch: 3120
Epoch 3120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3120With loss 0.1267430099331721
epoch: 3121
Epoch 3121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3121With loss 0.1267430099331721
epoch: 3122
Epoch 3122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3122With loss 0.1267430099331721
epoch: 3123
Epoch 3123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3123With loss 0.1267430099331721
epoch: 3124
Epoch 3124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3124With loss 0.1267430099331721
epoch: 3125
Epoch 3125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3125With loss 0.1267430099331721
epoch: 3126
Epoch 3126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3126With loss 0.1267430099331721
epoch: 3127
Epoch 3127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3127With loss 0.1267430099331721
epoch: 3128
Epoch 3128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3128With loss 0.1267430099331721
epoch: 3129
Epoch 3129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3129With loss 0.1267430099331721
epoch: 3130
Epoch 3130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3130With loss 0.1267430099331721
epoch: 3131
Epoch 3131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3131With loss 0.1267430099331721
epoch: 3132
Epoch 3132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3132With loss 0.1267430099331721
epoch: 3133
Epoch 3133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3133With loss 0.1267430099331721
epoch: 3134
Epoch 3134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3134With loss 0.1267430099331721
epoch: 3135
Epoch 3135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3135With loss 0.1267430099331721
epoch: 3136
Epoch 3136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3136With loss 0.1267430099331721
epoch: 3137
Epoch 3137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3137With loss 0.1267430099331721
epoch: 3138
Epoch 3138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3138With loss 0.1267430099331721
epoch: 3139
Epoch 3139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3139With loss 0.1267430099331721
epoch: 3140
Epoch 3140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3140With loss 0.1267430099331721
epoch: 3141
Epoch 3141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3141With loss 0.1267430099331721
epoch: 3142
Epoch 3142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3142With loss 0.1267430099331721
epoch: 3143
Epoch 3143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3143With loss 0.1267430099331721
epoch: 3144
Epoch 3144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3144With loss 0.1267430099331721
epoch: 3145
Epoch 3145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3145With loss 0.1267430099331721
epoch: 3146
Epoch 3146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3146With loss 0.1267430099331721
epoch: 3147
Epoch 3147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3147With loss 0.1267430099331721
epoch: 3148
Epoch 3148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3148With loss 0.1267430099331721
epoch: 3149
Epoch 3149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3149With loss 0.1267430099331721
epoch: 3150
Epoch 3150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3150With loss 0.1267430099331721
epoch: 3151
Epoch 3151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3151With loss 0.1267430099331721
epoch: 3152
Epoch 3152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3152With loss 0.1267430099331721
epoch: 3153
Epoch 3153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3153With loss 0.1267430099331721
epoch: 3154
Epoch 3154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3154With loss 0.1267430099331721
epoch: 3155
Epoch 3155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3155With loss 0.1267430099331721
epoch: 3156
Epoch 3156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3156With loss 0.1267430099331721
epoch: 3157
Epoch 3157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3157With loss 0.1267430099331721
epoch: 3158
Epoch 3158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3158With loss 0.1267430099331721
epoch: 3159
Epoch 3159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3159With loss 0.1267430099331721
epoch: 3160
Epoch 3160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3160With loss 0.1267430099331721
epoch: 3161
Epoch 3161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3161With loss 0.1267430099331721
epoch: 3162
Epoch 3162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3162With loss 0.1267430099331721
epoch: 3163
Epoch 3163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3163With loss 0.1267430099331721
epoch: 3164
Epoch 3164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3164With loss 0.1267430099331721
epoch: 3165
Epoch 3165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3165With loss 0.1267430099331721
epoch: 3166
Epoch 3166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3166With loss 0.1267430099331721
epoch: 3167
Epoch 3167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3167With loss 0.1267430099331721
epoch: 3168
Epoch 3168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3168With loss 0.1267430099331721
epoch: 3169
Epoch 3169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3169With loss 0.1267430099331721
epoch: 3170
Epoch 3170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3170With loss 0.1267430099331721
epoch: 3171
Epoch 3171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3171With loss 0.1267430099331721
epoch: 3172
Epoch 3172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3172With loss 0.1267430099331721
epoch: 3173
Epoch 3173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3173With loss 0.1267430099331721
epoch: 3174
Epoch 3174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3174With loss 0.1267430099331721
epoch: 3175
Epoch 3175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3175With loss 0.1267430099331721
epoch: 3176
Epoch 3176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3176With loss 0.1267430099331721
epoch: 3177
Epoch 3177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3177With loss 0.1267430099331721
epoch: 3178
Epoch 3178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3178With loss 0.1267430099331721
epoch: 3179
Epoch 3179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3179With loss 0.1267430099331721
epoch: 3180
Epoch 3180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3180With loss 0.1267430099331721
epoch: 3181
Epoch 3181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3181With loss 0.1267430099331721
epoch: 3182
Epoch 3182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3182With loss 0.1267430099331721
epoch: 3183
Epoch 3183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3183With loss 0.1267430099331721
epoch: 3184
Epoch 3184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3184With loss 0.1267430099331721
epoch: 3185
Epoch 3185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3185With loss 0.1267430099331721
epoch: 3186
Epoch 3186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3186With loss 0.1267430099331721
epoch: 3187
Epoch 3187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3187With loss 0.1267430099331721
epoch: 3188
Epoch 3188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3188With loss 0.1267430099331721
epoch: 3189
Epoch 3189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3189With loss 0.1267430099331721
epoch: 3190
Epoch 3190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3190With loss 0.1267430099331721
epoch: 3191
Epoch 3191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3191With loss 0.1267430099331721
epoch: 3192
Epoch 3192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3192With loss 0.1267430099331721
epoch: 3193
Epoch 3193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3193With loss 0.1267430099331721
epoch: 3194
Epoch 3194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3194With loss 0.1267430099331721
epoch: 3195
Epoch 3195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3195With loss 0.1267430099331721
epoch: 3196
Epoch 3196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3196With loss 0.1267430099331721
epoch: 3197
Epoch 3197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3197With loss 0.1267430099331721
epoch: 3198
Epoch 3198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3198With loss 0.1267430099331721
epoch: 3199
Epoch 3199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3199With loss 0.1267430099331721
epoch: 3200
Epoch 3200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3200With loss 0.1267430099331721
epoch: 3201
Epoch 3201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3201With loss 0.1267430099331721
epoch: 3202
Epoch 3202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3202With loss 0.1267430099331721
epoch: 3203
Epoch 3203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3203With loss 0.1267430099331721
epoch: 3204
Epoch 3204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3204With loss 0.1267430099331721
epoch: 3205
Epoch 3205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3205With loss 0.1267430099331721
epoch: 3206
Epoch 3206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3206With loss 0.1267430099331721
epoch: 3207
Epoch 3207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3207With loss 0.1267430099331721
epoch: 3208
Epoch 3208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3208With loss 0.1267430099331721
epoch: 3209
Epoch 3209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3209With loss 0.1267430099331721
epoch: 3210
Epoch 3210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3210With loss 0.1267430099331721
epoch: 3211
Epoch 3211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3211With loss 0.1267430099331721
epoch: 3212
Epoch 3212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3212With loss 0.1267430099331721
epoch: 3213
Epoch 3213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3213With loss 0.1267430099331721
epoch: 3214
Epoch 3214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3214With loss 0.1267430099331721
epoch: 3215
Epoch 3215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3215With loss 0.1267430099331721
epoch: 3216
Epoch 3216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3216With loss 0.1267430099331721
epoch: 3217
Epoch 3217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3217With loss 0.1267430099331721
epoch: 3218
Epoch 3218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3218With loss 0.1267430099331721
epoch: 3219
Epoch 3219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3219With loss 0.1267430099331721
epoch: 3220
Epoch 3220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3220With loss 0.1267430099331721
epoch: 3221
Epoch 3221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3221With loss 0.1267430099331721
epoch: 3222
Epoch 3222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3222With loss 0.1267430099331721
epoch: 3223
Epoch 3223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3223With loss 0.1267430099331721
epoch: 3224
Epoch 3224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3224With loss 0.1267430099331721
epoch: 3225
Epoch 3225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3225With loss 0.1267430099331721
epoch: 3226
Epoch 3226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3226With loss 0.1267430099331721
epoch: 3227
Epoch 3227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3227With loss 0.1267430099331721
epoch: 3228
Epoch 3228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3228With loss 0.1267430099331721
epoch: 3229
Epoch 3229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3229With loss 0.1267430099331721
epoch: 3230
Epoch 3230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3230With loss 0.1267430099331721
epoch: 3231
Epoch 3231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3231With loss 0.1267430099331721
epoch: 3232
Epoch 3232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3232With loss 0.1267430099331721
epoch: 3233
Epoch 3233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3233With loss 0.1267430099331721
epoch: 3234
Epoch 3234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3234With loss 0.1267430099331721
epoch: 3235
Epoch 3235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3235With loss 0.1267430099331721
epoch: 3236
Epoch 3236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3236With loss 0.1267430099331721
epoch: 3237
Epoch 3237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3237With loss 0.1267430099331721
epoch: 3238
Epoch 3238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3238With loss 0.1267430099331721
epoch: 3239
Epoch 3239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3239With loss 0.1267430099331721
epoch: 3240
Epoch 3240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3240With loss 0.1267430099331721
epoch: 3241
Epoch 3241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3241With loss 0.1267430099331721
epoch: 3242
Epoch 3242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3242With loss 0.1267430099331721
epoch: 3243
Epoch 3243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3243With loss 0.1267430099331721
epoch: 3244
Epoch 3244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3244With loss 0.1267430099331721
epoch: 3245
Epoch 3245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3245With loss 0.1267430099331721
epoch: 3246
Epoch 3246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3246With loss 0.1267430099331721
epoch: 3247
Epoch 3247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3247With loss 0.1267430099331721
epoch: 3248
Epoch 3248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3248With loss 0.1267430099331721
epoch: 3249
Epoch 3249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3249With loss 0.1267430099331721
epoch: 3250
Epoch 3250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3250With loss 0.1267430099331721
epoch: 3251
Epoch 3251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3251With loss 0.1267430099331721
epoch: 3252
Epoch 3252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3252With loss 0.1267430099331721
epoch: 3253
Epoch 3253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3253With loss 0.1267430099331721
epoch: 3254
Epoch 3254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3254With loss 0.1267430099331721
epoch: 3255
Epoch 3255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3255With loss 0.1267430099331721
epoch: 3256
Epoch 3256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3256With loss 0.1267430099331721
epoch: 3257
Epoch 3257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3257With loss 0.1267430099331721
epoch: 3258
Epoch 3258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3258With loss 0.1267430099331721
epoch: 3259
Epoch 3259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3259With loss 0.1267430099331721
epoch: 3260
Epoch 3260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3260With loss 0.1267430099331721
epoch: 3261
Epoch 3261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3261With loss 0.1267430099331721
epoch: 3262
Epoch 3262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3262With loss 0.1267430099331721
epoch: 3263
Epoch 3263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3263With loss 0.1267430099331721
epoch: 3264
Epoch 3264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3264With loss 0.1267430099331721
epoch: 3265
Epoch 3265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3265With loss 0.1267430099331721
epoch: 3266
Epoch 3266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3266With loss 0.1267430099331721
epoch: 3267
Epoch 3267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3267With loss 0.1267430099331721
epoch: 3268
Epoch 3268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3268With loss 0.1267430099331721
epoch: 3269
Epoch 3269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3269With loss 0.1267430099331721
epoch: 3270
Epoch 3270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3270With loss 0.1267430099331721
epoch: 3271
Epoch 3271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3271With loss 0.1267430099331721
epoch: 3272
Epoch 3272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3272With loss 0.1267430099331721
epoch: 3273
Epoch 3273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3273With loss 0.1267430099331721
epoch: 3274
Epoch 3274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3274With loss 0.1267430099331721
epoch: 3275
Epoch 3275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3275With loss 0.1267430099331721
epoch: 3276
Epoch 3276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3276With loss 0.1267430099331721
epoch: 3277
Epoch 3277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3277With loss 0.1267430099331721
epoch: 3278
Epoch 3278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3278With loss 0.1267430099331721
epoch: 3279
Epoch 3279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3279With loss 0.1267430099331721
epoch: 3280
Epoch 3280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3280With loss 0.1267430099331721
epoch: 3281
Epoch 3281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3281With loss 0.1267430099331721
epoch: 3282
Epoch 3282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3282With loss 0.1267430099331721
epoch: 3283
Epoch 3283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3283With loss 0.1267430099331721
epoch: 3284
Epoch 3284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3284With loss 0.1267430099331721
epoch: 3285
Epoch 3285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3285With loss 0.1267430099331721
epoch: 3286
Epoch 3286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3286With loss 0.1267430099331721
epoch: 3287
Epoch 3287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3287With loss 0.1267430099331721
epoch: 3288
Epoch 3288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3288With loss 0.1267430099331721
epoch: 3289
Epoch 3289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3289With loss 0.1267430099331721
epoch: 3290
Epoch 3290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3290With loss 0.1267430099331721
epoch: 3291
Epoch 3291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3291With loss 0.1267430099331721
epoch: 3292
Epoch 3292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3292With loss 0.1267430099331721
epoch: 3293
Epoch 3293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3293With loss 0.1267430099331721
epoch: 3294
Epoch 3294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3294With loss 0.1267430099331721
epoch: 3295
Epoch 3295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3295With loss 0.1267430099331721
epoch: 3296
Epoch 3296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3296With loss 0.1267430099331721
epoch: 3297
Epoch 3297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3297With loss 0.1267430099331721
epoch: 3298
Epoch 3298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3298With loss 0.1267430099331721
epoch: 3299
Epoch 3299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3299With loss 0.1267430099331721
epoch: 3300
Epoch 3300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3300With loss 0.1267430099331721
epoch: 3301
Epoch 3301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3301With loss 0.1267430099331721
epoch: 3302
Epoch 3302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3302With loss 0.1267430099331721
epoch: 3303
Epoch 3303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3303With loss 0.1267430099331721
epoch: 3304
Epoch 3304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3304With loss 0.1267430099331721
epoch: 3305
Epoch 3305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3305With loss 0.1267430099331721
epoch: 3306
Epoch 3306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3306With loss 0.1267430099331721
epoch: 3307
Epoch 3307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3307With loss 0.1267430099331721
epoch: 3308
Epoch 3308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3308With loss 0.1267430099331721
epoch: 3309
Epoch 3309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3309With loss 0.1267430099331721
epoch: 3310
Epoch 3310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3310With loss 0.1267430099331721
epoch: 3311
Epoch 3311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3311With loss 0.1267430099331721
epoch: 3312
Epoch 3312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3312With loss 0.1267430099331721
epoch: 3313
Epoch 3313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3313With loss 0.1267430099331721
epoch: 3314
Epoch 3314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3314With loss 0.1267430099331721
epoch: 3315
Epoch 3315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3315With loss 0.1267430099331721
epoch: 3316
Epoch 3316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3316With loss 0.1267430099331721
epoch: 3317
Epoch 3317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3317With loss 0.1267430099331721
epoch: 3318
Epoch 3318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3318With loss 0.1267430099331721
epoch: 3319
Epoch 3319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3319With loss 0.1267430099331721
epoch: 3320
Epoch 3320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3320With loss 0.1267430099331721
epoch: 3321
Epoch 3321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3321With loss 0.1267430099331721
epoch: 3322
Epoch 3322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3322With loss 0.1267430099331721
epoch: 3323
Epoch 3323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3323With loss 0.1267430099331721
epoch: 3324
Epoch 3324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3324With loss 0.1267430099331721
epoch: 3325
Epoch 3325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3325With loss 0.1267430099331721
epoch: 3326
Epoch 3326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3326With loss 0.1267430099331721
epoch: 3327
Epoch 3327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3327With loss 0.1267430099331721
epoch: 3328
Epoch 3328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3328With loss 0.1267430099331721
epoch: 3329
Epoch 3329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3329With loss 0.1267430099331721
epoch: 3330
Epoch 3330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3330With loss 0.1267430099331721
epoch: 3331
Epoch 3331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3331With loss 0.1267430099331721
epoch: 3332
Epoch 3332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3332With loss 0.1267430099331721
epoch: 3333
Epoch 3333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3333With loss 0.1267430099331721
epoch: 3334
Epoch 3334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3334With loss 0.1267430099331721
epoch: 3335
Epoch 3335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3335With loss 0.1267430099331721
epoch: 3336
Epoch 3336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3336With loss 0.1267430099331721
epoch: 3337
Epoch 3337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3337With loss 0.1267430099331721
epoch: 3338
Epoch 3338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3338With loss 0.1267430099331721
epoch: 3339
Epoch 3339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3339With loss 0.1267430099331721
epoch: 3340
Epoch 3340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3340With loss 0.1267430099331721
epoch: 3341
Epoch 3341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3341With loss 0.1267430099331721
epoch: 3342
Epoch 3342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3342With loss 0.1267430099331721
epoch: 3343
Epoch 3343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3343With loss 0.1267430099331721
epoch: 3344
Epoch 3344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3344With loss 0.1267430099331721
epoch: 3345
Epoch 3345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3345With loss 0.1267430099331721
epoch: 3346
Epoch 3346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3346With loss 0.1267430099331721
epoch: 3347
Epoch 3347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3347With loss 0.1267430099331721
epoch: 3348
Epoch 3348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3348With loss 0.1267430099331721
epoch: 3349
Epoch 3349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3349With loss 0.1267430099331721
epoch: 3350
Epoch 3350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3350With loss 0.1267430099331721
epoch: 3351
Epoch 3351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3351With loss 0.1267430099331721
epoch: 3352
Epoch 3352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3352With loss 0.1267430099331721
epoch: 3353
Epoch 3353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3353With loss 0.1267430099331721
epoch: 3354
Epoch 3354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3354With loss 0.1267430099331721
epoch: 3355
Epoch 3355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3355With loss 0.1267430099331721
epoch: 3356
Epoch 3356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3356With loss 0.1267430099331721
epoch: 3357
Epoch 3357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3357With loss 0.1267430099331721
epoch: 3358
Epoch 3358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3358With loss 0.1267430099331721
epoch: 3359
Epoch 3359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3359With loss 0.1267430099331721
epoch: 3360
Epoch 3360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3360With loss 0.1267430099331721
epoch: 3361
Epoch 3361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3361With loss 0.1267430099331721
epoch: 3362
Epoch 3362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3362With loss 0.1267430099331721
epoch: 3363
Epoch 3363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3363With loss 0.1267430099331721
epoch: 3364
Epoch 3364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3364With loss 0.1267430099331721
epoch: 3365
Epoch 3365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3365With loss 0.1267430099331721
epoch: 3366
Epoch 3366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3366With loss 0.1267430099331721
epoch: 3367
Epoch 3367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3367With loss 0.1267430099331721
epoch: 3368
Epoch 3368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3368With loss 0.1267430099331721
epoch: 3369
Epoch 3369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3369With loss 0.1267430099331721
epoch: 3370
Epoch 3370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3370With loss 0.1267430099331721
epoch: 3371
Epoch 3371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3371With loss 0.1267430099331721
epoch: 3372
Epoch 3372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3372With loss 0.1267430099331721
epoch: 3373
Epoch 3373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3373With loss 0.1267430099331721
epoch: 3374
Epoch 3374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3374With loss 0.1267430099331721
epoch: 3375
Epoch 3375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3375With loss 0.1267430099331721
epoch: 3376
Epoch 3376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3376With loss 0.1267430099331721
epoch: 3377
Epoch 3377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3377With loss 0.1267430099331721
epoch: 3378
Epoch 3378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3378With loss 0.1267430099331721
epoch: 3379
Epoch 3379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3379With loss 0.1267430099331721
epoch: 3380
Epoch 3380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3380With loss 0.1267430099331721
epoch: 3381
Epoch 3381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3381With loss 0.1267430099331721
epoch: 3382
Epoch 3382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3382With loss 0.1267430099331721
epoch: 3383
Epoch 3383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3383With loss 0.1267430099331721
epoch: 3384
Epoch 3384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3384With loss 0.1267430099331721
epoch: 3385
Epoch 3385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3385With loss 0.1267430099331721
epoch: 3386
Epoch 3386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3386With loss 0.1267430099331721
epoch: 3387
Epoch 3387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3387With loss 0.1267430099331721
epoch: 3388
Epoch 3388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3388With loss 0.1267430099331721
epoch: 3389
Epoch 3389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3389With loss 0.1267430099331721
epoch: 3390
Epoch 3390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3390With loss 0.1267430099331721
epoch: 3391
Epoch 3391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3391With loss 0.1267430099331721
epoch: 3392
Epoch 3392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3392With loss 0.1267430099331721
epoch: 3393
Epoch 3393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3393With loss 0.1267430099331721
epoch: 3394
Epoch 3394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3394With loss 0.1267430099331721
epoch: 3395
Epoch 3395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3395With loss 0.1267430099331721
epoch: 3396
Epoch 3396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3396With loss 0.1267430099331721
epoch: 3397
Epoch 3397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3397With loss 0.1267430099331721
epoch: 3398
Epoch 3398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3398With loss 0.1267430099331721
epoch: 3399
Epoch 3399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3399With loss 0.1267430099331721
epoch: 3400
Epoch 3400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3400With loss 0.1267430099331721
epoch: 3401
Epoch 3401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3401With loss 0.1267430099331721
epoch: 3402
Epoch 3402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3402With loss 0.1267430099331721
epoch: 3403
Epoch 3403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3403With loss 0.1267430099331721
epoch: 3404
Epoch 3404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3404With loss 0.1267430099331721
epoch: 3405
Epoch 3405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3405With loss 0.1267430099331721
epoch: 3406
Epoch 3406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3406With loss 0.1267430099331721
epoch: 3407
Epoch 3407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3407With loss 0.1267430099331721
epoch: 3408
Epoch 3408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3408With loss 0.1267430099331721
epoch: 3409
Epoch 3409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3409With loss 0.1267430099331721
epoch: 3410
Epoch 3410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3410With loss 0.1267430099331721
epoch: 3411
Epoch 3411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3411With loss 0.1267430099331721
epoch: 3412
Epoch 3412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3412With loss 0.1267430099331721
epoch: 3413
Epoch 3413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3413With loss 0.1267430099331721
epoch: 3414
Epoch 3414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3414With loss 0.1267430099331721
epoch: 3415
Epoch 3415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3415With loss 0.1267430099331721
epoch: 3416
Epoch 3416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3416With loss 0.1267430099331721
epoch: 3417
Epoch 3417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3417With loss 0.1267430099331721
epoch: 3418
Epoch 3418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3418With loss 0.1267430099331721
epoch: 3419
Epoch 3419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3419With loss 0.1267430099331721
epoch: 3420
Epoch 3420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3420With loss 0.1267430099331721
epoch: 3421
Epoch 3421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3421With loss 0.1267430099331721
epoch: 3422
Epoch 3422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3422With loss 0.1267430099331721
epoch: 3423
Epoch 3423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3423With loss 0.1267430099331721
epoch: 3424
Epoch 3424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3424With loss 0.1267430099331721
epoch: 3425
Epoch 3425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3425With loss 0.1267430099331721
epoch: 3426
Epoch 3426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3426With loss 0.1267430099331721
epoch: 3427
Epoch 3427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3427With loss 0.1267430099331721
epoch: 3428
Epoch 3428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3428With loss 0.1267430099331721
epoch: 3429
Epoch 3429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3429With loss 0.1267430099331721
epoch: 3430
Epoch 3430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3430With loss 0.1267430099331721
epoch: 3431
Epoch 3431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3431With loss 0.1267430099331721
epoch: 3432
Epoch 3432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3432With loss 0.1267430099331721
epoch: 3433
Epoch 3433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3433With loss 0.1267430099331721
epoch: 3434
Epoch 3434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3434With loss 0.1267430099331721
epoch: 3435
Epoch 3435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3435With loss 0.1267430099331721
epoch: 3436
Epoch 3436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3436With loss 0.1267430099331721
epoch: 3437
Epoch 3437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3437With loss 0.1267430099331721
epoch: 3438
Epoch 3438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3438With loss 0.1267430099331721
epoch: 3439
Epoch 3439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3439With loss 0.1267430099331721
epoch: 3440
Epoch 3440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3440With loss 0.1267430099331721
epoch: 3441
Epoch 3441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3441With loss 0.1267430099331721
epoch: 3442
Epoch 3442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3442With loss 0.1267430099331721
epoch: 3443
Epoch 3443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3443With loss 0.1267430099331721
epoch: 3444
Epoch 3444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3444With loss 0.1267430099331721
epoch: 3445
Epoch 3445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3445With loss 0.1267430099331721
epoch: 3446
Epoch 3446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3446With loss 0.1267430099331721
epoch: 3447
Epoch 3447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3447With loss 0.1267430099331721
epoch: 3448
Epoch 3448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3448With loss 0.1267430099331721
epoch: 3449
Epoch 3449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3449With loss 0.1267430099331721
epoch: 3450
Epoch 3450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3450With loss 0.1267430099331721
epoch: 3451
Epoch 3451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3451With loss 0.1267430099331721
epoch: 3452
Epoch 3452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3452With loss 0.1267430099331721
epoch: 3453
Epoch 3453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3453With loss 0.1267430099331721
epoch: 3454
Epoch 3454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3454With loss 0.1267430099331721
epoch: 3455
Epoch 3455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3455With loss 0.1267430099331721
epoch: 3456
Epoch 3456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3456With loss 0.1267430099331721
epoch: 3457
Epoch 3457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3457With loss 0.1267430099331721
epoch: 3458
Epoch 3458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3458With loss 0.1267430099331721
epoch: 3459
Epoch 3459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3459With loss 0.1267430099331721
epoch: 3460
Epoch 3460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3460With loss 0.1267430099331721
epoch: 3461
Epoch 3461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3461With loss 0.1267430099331721
epoch: 3462
Epoch 3462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3462With loss 0.1267430099331721
epoch: 3463
Epoch 3463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3463With loss 0.1267430099331721
epoch: 3464
Epoch 3464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3464With loss 0.1267430099331721
epoch: 3465
Epoch 3465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3465With loss 0.1267430099331721
epoch: 3466
Epoch 3466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3466With loss 0.1267430099331721
epoch: 3467
Epoch 3467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3467With loss 0.1267430099331721
epoch: 3468
Epoch 3468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3468With loss 0.1267430099331721
epoch: 3469
Epoch 3469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3469With loss 0.1267430099331721
epoch: 3470
Epoch 3470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3470With loss 0.1267430099331721
epoch: 3471
Epoch 3471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3471With loss 0.1267430099331721
epoch: 3472
Epoch 3472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3472With loss 0.1267430099331721
epoch: 3473
Epoch 3473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3473With loss 0.1267430099331721
epoch: 3474
Epoch 3474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3474With loss 0.1267430099331721
epoch: 3475
Epoch 3475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3475With loss 0.1267430099331721
epoch: 3476
Epoch 3476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3476With loss 0.1267430099331721
epoch: 3477
Epoch 3477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3477With loss 0.1267430099331721
epoch: 3478
Epoch 3478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3478With loss 0.1267430099331721
epoch: 3479
Epoch 3479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3479With loss 0.1267430099331721
epoch: 3480
Epoch 3480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3480With loss 0.1267430099331721
epoch: 3481
Epoch 3481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3481With loss 0.1267430099331721
epoch: 3482
Epoch 3482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3482With loss 0.1267430099331721
epoch: 3483
Epoch 3483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3483With loss 0.1267430099331721
epoch: 3484
Epoch 3484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3484With loss 0.1267430099331721
epoch: 3485
Epoch 3485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3485With loss 0.1267430099331721
epoch: 3486
Epoch 3486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3486With loss 0.1267430099331721
epoch: 3487
Epoch 3487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3487With loss 0.1267430099331721
epoch: 3488
Epoch 3488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3488With loss 0.1267430099331721
epoch: 3489
Epoch 3489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3489With loss 0.1267430099331721
epoch: 3490
Epoch 3490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3490With loss 0.1267430099331721
epoch: 3491
Epoch 3491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3491With loss 0.1267430099331721
epoch: 3492
Epoch 3492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3492With loss 0.1267430099331721
epoch: 3493
Epoch 3493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3493With loss 0.1267430099331721
epoch: 3494
Epoch 3494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3494With loss 0.1267430099331721
epoch: 3495
Epoch 3495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3495With loss 0.1267430099331721
epoch: 3496
Epoch 3496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3496With loss 0.1267430099331721
epoch: 3497
Epoch 3497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3497With loss 0.1267430099331721
epoch: 3498
Epoch 3498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3498With loss 0.1267430099331721
epoch: 3499
Epoch 3499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3499With loss 0.1267430099331721
epoch: 3500
Epoch 3500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3500With loss 0.1267430099331721
epoch: 3501
Epoch 3501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3501With loss 0.1267430099331721
epoch: 3502
Epoch 3502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3502With loss 0.1267430099331721
epoch: 3503
Epoch 3503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3503With loss 0.1267430099331721
epoch: 3504
Epoch 3504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3504With loss 0.1267430099331721
epoch: 3505
Epoch 3505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3505With loss 0.1267430099331721
epoch: 3506
Epoch 3506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3506With loss 0.1267430099331721
epoch: 3507
Epoch 3507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3507With loss 0.1267430099331721
epoch: 3508
Epoch 3508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3508With loss 0.1267430099331721
epoch: 3509
Epoch 3509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3509With loss 0.1267430099331721
epoch: 3510
Epoch 3510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3510With loss 0.1267430099331721
epoch: 3511
Epoch 3511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3511With loss 0.1267430099331721
epoch: 3512
Epoch 3512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3512With loss 0.1267430099331721
epoch: 3513
Epoch 3513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3513With loss 0.1267430099331721
epoch: 3514
Epoch 3514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3514With loss 0.1267430099331721
epoch: 3515
Epoch 3515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3515With loss 0.1267430099331721
epoch: 3516
Epoch 3516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3516With loss 0.1267430099331721
epoch: 3517
Epoch 3517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3517With loss 0.1267430099331721
epoch: 3518
Epoch 3518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3518With loss 0.1267430099331721
epoch: 3519
Epoch 3519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3519With loss 0.1267430099331721
epoch: 3520
Epoch 3520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3520With loss 0.1267430099331721
epoch: 3521
Epoch 3521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3521With loss 0.1267430099331721
epoch: 3522
Epoch 3522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3522With loss 0.1267430099331721
epoch: 3523
Epoch 3523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3523With loss 0.1267430099331721
epoch: 3524
Epoch 3524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3524With loss 0.1267430099331721
epoch: 3525
Epoch 3525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3525With loss 0.1267430099331721
epoch: 3526
Epoch 3526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3526With loss 0.1267430099331721
epoch: 3527
Epoch 3527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3527With loss 0.1267430099331721
epoch: 3528
Epoch 3528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3528With loss 0.1267430099331721
epoch: 3529
Epoch 3529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3529With loss 0.1267430099331721
epoch: 3530
Epoch 3530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3530With loss 0.1267430099331721
epoch: 3531
Epoch 3531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3531With loss 0.1267430099331721
epoch: 3532
Epoch 3532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3532With loss 0.1267430099331721
epoch: 3533
Epoch 3533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3533With loss 0.1267430099331721
epoch: 3534
Epoch 3534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3534With loss 0.1267430099331721
epoch: 3535
Epoch 3535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3535With loss 0.1267430099331721
epoch: 3536
Epoch 3536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3536With loss 0.1267430099331721
epoch: 3537
Epoch 3537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3537With loss 0.1267430099331721
epoch: 3538
Epoch 3538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3538With loss 0.1267430099331721
epoch: 3539
Epoch 3539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3539With loss 0.1267430099331721
epoch: 3540
Epoch 3540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3540With loss 0.1267430099331721
epoch: 3541
Epoch 3541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3541With loss 0.1267430099331721
epoch: 3542
Epoch 3542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3542With loss 0.1267430099331721
epoch: 3543
Epoch 3543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3543With loss 0.1267430099331721
epoch: 3544
Epoch 3544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3544With loss 0.1267430099331721
epoch: 3545
Epoch 3545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3545With loss 0.1267430099331721
epoch: 3546
Epoch 3546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3546With loss 0.1267430099331721
epoch: 3547
Epoch 3547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3547With loss 0.1267430099331721
epoch: 3548
Epoch 3548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3548With loss 0.1267430099331721
epoch: 3549
Epoch 3549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3549With loss 0.1267430099331721
epoch: 3550
Epoch 3550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3550With loss 0.1267430099331721
epoch: 3551
Epoch 3551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3551With loss 0.1267430099331721
epoch: 3552
Epoch 3552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3552With loss 0.1267430099331721
epoch: 3553
Epoch 3553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3553With loss 0.1267430099331721
epoch: 3554
Epoch 3554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3554With loss 0.1267430099331721
epoch: 3555
Epoch 3555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3555With loss 0.1267430099331721
epoch: 3556
Epoch 3556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3556With loss 0.1267430099331721
epoch: 3557
Epoch 3557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3557With loss 0.1267430099331721
epoch: 3558
Epoch 3558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3558With loss 0.1267430099331721
epoch: 3559
Epoch 3559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3559With loss 0.1267430099331721
epoch: 3560
Epoch 3560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3560With loss 0.1267430099331721
epoch: 3561
Epoch 3561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3561With loss 0.1267430099331721
epoch: 3562
Epoch 3562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3562With loss 0.1267430099331721
epoch: 3563
Epoch 3563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3563With loss 0.1267430099331721
epoch: 3564
Epoch 3564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3564With loss 0.1267430099331721
epoch: 3565
Epoch 3565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3565With loss 0.1267430099331721
epoch: 3566
Epoch 3566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3566With loss 0.1267430099331721
epoch: 3567
Epoch 3567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3567With loss 0.1267430099331721
epoch: 3568
Epoch 3568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3568With loss 0.1267430099331721
epoch: 3569
Epoch 3569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3569With loss 0.1267430099331721
epoch: 3570
Epoch 3570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3570With loss 0.1267430099331721
epoch: 3571
Epoch 3571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3571With loss 0.1267430099331721
epoch: 3572
Epoch 3572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3572With loss 0.1267430099331721
epoch: 3573
Epoch 3573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3573With loss 0.1267430099331721
epoch: 3574
Epoch 3574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3574With loss 0.1267430099331721
epoch: 3575
Epoch 3575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3575With loss 0.1267430099331721
epoch: 3576
Epoch 3576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3576With loss 0.1267430099331721
epoch: 3577
Epoch 3577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3577With loss 0.1267430099331721
epoch: 3578
Epoch 3578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3578With loss 0.1267430099331721
epoch: 3579
Epoch 3579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3579With loss 0.1267430099331721
epoch: 3580
Epoch 3580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3580With loss 0.1267430099331721
epoch: 3581
Epoch 3581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3581With loss 0.1267430099331721
epoch: 3582
Epoch 3582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3582With loss 0.1267430099331721
epoch: 3583
Epoch 3583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3583With loss 0.1267430099331721
epoch: 3584
Epoch 3584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3584With loss 0.1267430099331721
epoch: 3585
Epoch 3585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3585With loss 0.1267430099331721
epoch: 3586
Epoch 3586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3586With loss 0.1267430099331721
epoch: 3587
Epoch 3587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3587With loss 0.1267430099331721
epoch: 3588
Epoch 3588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3588With loss 0.1267430099331721
epoch: 3589
Epoch 3589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3589With loss 0.1267430099331721
epoch: 3590
Epoch 3590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3590With loss 0.1267430099331721
epoch: 3591
Epoch 3591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3591With loss 0.1267430099331721
epoch: 3592
Epoch 3592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3592With loss 0.1267430099331721
epoch: 3593
Epoch 3593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3593With loss 0.1267430099331721
epoch: 3594
Epoch 3594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3594With loss 0.1267430099331721
epoch: 3595
Epoch 3595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3595With loss 0.1267430099331721
epoch: 3596
Epoch 3596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3596With loss 0.1267430099331721
epoch: 3597
Epoch 3597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3597With loss 0.1267430099331721
epoch: 3598
Epoch 3598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3598With loss 0.1267430099331721
epoch: 3599
Epoch 3599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3599With loss 0.1267430099331721
epoch: 3600
Epoch 3600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3600With loss 0.1267430099331721
epoch: 3601
Epoch 3601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3601With loss 0.1267430099331721
epoch: 3602
Epoch 3602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3602With loss 0.1267430099331721
epoch: 3603
Epoch 3603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3603With loss 0.1267430099331721
epoch: 3604
Epoch 3604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3604With loss 0.1267430099331721
epoch: 3605
Epoch 3605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3605With loss 0.1267430099331721
epoch: 3606
Epoch 3606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3606With loss 0.1267430099331721
epoch: 3607
Epoch 3607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3607With loss 0.1267430099331721
epoch: 3608
Epoch 3608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3608With loss 0.1267430099331721
epoch: 3609
Epoch 3609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3609With loss 0.1267430099331721
epoch: 3610
Epoch 3610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3610With loss 0.1267430099331721
epoch: 3611
Epoch 3611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3611With loss 0.1267430099331721
epoch: 3612
Epoch 3612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3612With loss 0.1267430099331721
epoch: 3613
Epoch 3613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3613With loss 0.1267430099331721
epoch: 3614
Epoch 3614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3614With loss 0.1267430099331721
epoch: 3615
Epoch 3615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3615With loss 0.1267430099331721
epoch: 3616
Epoch 3616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3616With loss 0.1267430099331721
epoch: 3617
Epoch 3617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3617With loss 0.1267430099331721
epoch: 3618
Epoch 3618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3618With loss 0.1267430099331721
epoch: 3619
Epoch 3619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3619With loss 0.1267430099331721
epoch: 3620
Epoch 3620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3620With loss 0.1267430099331721
epoch: 3621
Epoch 3621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3621With loss 0.1267430099331721
epoch: 3622
Epoch 3622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3622With loss 0.1267430099331721
epoch: 3623
Epoch 3623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3623With loss 0.1267430099331721
epoch: 3624
Epoch 3624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3624With loss 0.1267430099331721
epoch: 3625
Epoch 3625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3625With loss 0.1267430099331721
epoch: 3626
Epoch 3626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3626With loss 0.1267430099331721
epoch: 3627
Epoch 3627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3627With loss 0.1267430099331721
epoch: 3628
Epoch 3628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3628With loss 0.1267430099331721
epoch: 3629
Epoch 3629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3629With loss 0.1267430099331721
epoch: 3630
Epoch 3630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3630With loss 0.1267430099331721
epoch: 3631
Epoch 3631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3631With loss 0.1267430099331721
epoch: 3632
Epoch 3632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3632With loss 0.1267430099331721
epoch: 3633
Epoch 3633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3633With loss 0.1267430099331721
epoch: 3634
Epoch 3634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3634With loss 0.1267430099331721
epoch: 3635
Epoch 3635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3635With loss 0.1267430099331721
epoch: 3636
Epoch 3636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3636With loss 0.1267430099331721
epoch: 3637
Epoch 3637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3637With loss 0.1267430099331721
epoch: 3638
Epoch 3638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3638With loss 0.1267430099331721
epoch: 3639
Epoch 3639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3639With loss 0.1267430099331721
epoch: 3640
Epoch 3640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3640With loss 0.1267430099331721
epoch: 3641
Epoch 3641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3641With loss 0.1267430099331721
epoch: 3642
Epoch 3642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3642With loss 0.1267430099331721
epoch: 3643
Epoch 3643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3643With loss 0.1267430099331721
epoch: 3644
Epoch 3644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3644With loss 0.1267430099331721
epoch: 3645
Epoch 3645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3645With loss 0.1267430099331721
epoch: 3646
Epoch 3646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3646With loss 0.1267430099331721
epoch: 3647
Epoch 3647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3647With loss 0.1267430099331721
epoch: 3648
Epoch 3648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3648With loss 0.1267430099331721
epoch: 3649
Epoch 3649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3649With loss 0.1267430099331721
epoch: 3650
Epoch 3650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3650With loss 0.1267430099331721
epoch: 3651
Epoch 3651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3651With loss 0.1267430099331721
epoch: 3652
Epoch 3652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3652With loss 0.1267430099331721
epoch: 3653
Epoch 3653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3653With loss 0.1267430099331721
epoch: 3654
Epoch 3654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3654With loss 0.1267430099331721
epoch: 3655
Epoch 3655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3655With loss 0.1267430099331721
epoch: 3656
Epoch 3656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3656With loss 0.1267430099331721
epoch: 3657
Epoch 3657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3657With loss 0.1267430099331721
epoch: 3658
Epoch 3658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3658With loss 0.1267430099331721
epoch: 3659
Epoch 3659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3659With loss 0.1267430099331721
epoch: 3660
Epoch 3660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3660With loss 0.1267430099331721
epoch: 3661
Epoch 3661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3661With loss 0.1267430099331721
epoch: 3662
Epoch 3662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3662With loss 0.1267430099331721
epoch: 3663
Epoch 3663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3663With loss 0.1267430099331721
epoch: 3664
Epoch 3664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3664With loss 0.1267430099331721
epoch: 3665
Epoch 3665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3665With loss 0.1267430099331721
epoch: 3666
Epoch 3666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3666With loss 0.1267430099331721
epoch: 3667
Epoch 3667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3667With loss 0.1267430099331721
epoch: 3668
Epoch 3668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3668With loss 0.1267430099331721
epoch: 3669
Epoch 3669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3669With loss 0.1267430099331721
epoch: 3670
Epoch 3670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3670With loss 0.1267430099331721
epoch: 3671
Epoch 3671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3671With loss 0.1267430099331721
epoch: 3672
Epoch 3672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3672With loss 0.1267430099331721
epoch: 3673
Epoch 3673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3673With loss 0.1267430099331721
epoch: 3674
Epoch 3674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3674With loss 0.1267430099331721
epoch: 3675
Epoch 3675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3675With loss 0.1267430099331721
epoch: 3676
Epoch 3676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3676With loss 0.1267430099331721
epoch: 3677
Epoch 3677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3677With loss 0.1267430099331721
epoch: 3678
Epoch 3678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3678With loss 0.1267430099331721
epoch: 3679
Epoch 3679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3679With loss 0.1267430099331721
epoch: 3680
Epoch 3680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3680With loss 0.1267430099331721
epoch: 3681
Epoch 3681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3681With loss 0.1267430099331721
epoch: 3682
Epoch 3682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3682With loss 0.1267430099331721
epoch: 3683
Epoch 3683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3683With loss 0.1267430099331721
epoch: 3684
Epoch 3684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3684With loss 0.1267430099331721
epoch: 3685
Epoch 3685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3685With loss 0.1267430099331721
epoch: 3686
Epoch 3686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3686With loss 0.1267430099331721
epoch: 3687
Epoch 3687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3687With loss 0.1267430099331721
epoch: 3688
Epoch 3688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3688With loss 0.1267430099331721
epoch: 3689
Epoch 3689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3689With loss 0.1267430099331721
epoch: 3690
Epoch 3690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3690With loss 0.1267430099331721
epoch: 3691
Epoch 3691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3691With loss 0.1267430099331721
epoch: 3692
Epoch 3692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3692With loss 0.1267430099331721
epoch: 3693
Epoch 3693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3693With loss 0.1267430099331721
epoch: 3694
Epoch 3694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3694With loss 0.1267430099331721
epoch: 3695
Epoch 3695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3695With loss 0.1267430099331721
epoch: 3696
Epoch 3696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3696With loss 0.1267430099331721
epoch: 3697
Epoch 3697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3697With loss 0.1267430099331721
epoch: 3698
Epoch 3698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3698With loss 0.1267430099331721
epoch: 3699
Epoch 3699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3699With loss 0.1267430099331721
epoch: 3700
Epoch 3700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3700With loss 0.1267430099331721
epoch: 3701
Epoch 3701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3701With loss 0.1267430099331721
epoch: 3702
Epoch 3702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3702With loss 0.1267430099331721
epoch: 3703
Epoch 3703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3703With loss 0.1267430099331721
epoch: 3704
Epoch 3704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3704With loss 0.1267430099331721
epoch: 3705
Epoch 3705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3705With loss 0.1267430099331721
epoch: 3706
Epoch 3706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3706With loss 0.1267430099331721
epoch: 3707
Epoch 3707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3707With loss 0.1267430099331721
epoch: 3708
Epoch 3708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3708With loss 0.1267430099331721
epoch: 3709
Epoch 3709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3709With loss 0.1267430099331721
epoch: 3710
Epoch 3710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3710With loss 0.1267430099331721
epoch: 3711
Epoch 3711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3711With loss 0.1267430099331721
epoch: 3712
Epoch 3712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3712With loss 0.1267430099331721
epoch: 3713
Epoch 3713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3713With loss 0.1267430099331721
epoch: 3714
Epoch 3714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3714With loss 0.1267430099331721
epoch: 3715
Epoch 3715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3715With loss 0.1267430099331721
epoch: 3716
Epoch 3716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3716With loss 0.1267430099331721
epoch: 3717
Epoch 3717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3717With loss 0.1267430099331721
epoch: 3718
Epoch 3718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3718With loss 0.1267430099331721
epoch: 3719
Epoch 3719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3719With loss 0.1267430099331721
epoch: 3720
Epoch 3720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3720With loss 0.1267430099331721
epoch: 3721
Epoch 3721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3721With loss 0.1267430099331721
epoch: 3722
Epoch 3722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3722With loss 0.1267430099331721
epoch: 3723
Epoch 3723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3723With loss 0.1267430099331721
epoch: 3724
Epoch 3724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3724With loss 0.1267430099331721
epoch: 3725
Epoch 3725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3725With loss 0.1267430099331721
epoch: 3726
Epoch 3726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3726With loss 0.1267430099331721
epoch: 3727
Epoch 3727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3727With loss 0.1267430099331721
epoch: 3728
Epoch 3728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3728With loss 0.1267430099331721
epoch: 3729
Epoch 3729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3729With loss 0.1267430099331721
epoch: 3730
Epoch 3730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3730With loss 0.1267430099331721
epoch: 3731
Epoch 3731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3731With loss 0.1267430099331721
epoch: 3732
Epoch 3732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3732With loss 0.1267430099331721
epoch: 3733
Epoch 3733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3733With loss 0.1267430099331721
epoch: 3734
Epoch 3734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3734With loss 0.1267430099331721
epoch: 3735
Epoch 3735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3735With loss 0.1267430099331721
epoch: 3736
Epoch 3736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3736With loss 0.1267430099331721
epoch: 3737
Epoch 3737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3737With loss 0.1267430099331721
epoch: 3738
Epoch 3738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3738With loss 0.1267430099331721
epoch: 3739
Epoch 3739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3739With loss 0.1267430099331721
epoch: 3740
Epoch 3740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3740With loss 0.1267430099331721
epoch: 3741
Epoch 3741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3741With loss 0.1267430099331721
epoch: 3742
Epoch 3742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3742With loss 0.1267430099331721
epoch: 3743
Epoch 3743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3743With loss 0.1267430099331721
epoch: 3744
Epoch 3744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3744With loss 0.1267430099331721
epoch: 3745
Epoch 3745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3745With loss 0.1267430099331721
epoch: 3746
Epoch 3746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3746With loss 0.1267430099331721
epoch: 3747
Epoch 3747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3747With loss 0.1267430099331721
epoch: 3748
Epoch 3748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3748With loss 0.1267430099331721
epoch: 3749
Epoch 3749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3749With loss 0.1267430099331721
epoch: 3750
Epoch 3750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3750With loss 0.1267430099331721
epoch: 3751
Epoch 3751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3751With loss 0.1267430099331721
epoch: 3752
Epoch 3752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3752With loss 0.1267430099331721
epoch: 3753
Epoch 3753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3753With loss 0.1267430099331721
epoch: 3754
Epoch 3754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3754With loss 0.1267430099331721
epoch: 3755
Epoch 3755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3755With loss 0.1267430099331721
epoch: 3756
Epoch 3756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3756With loss 0.1267430099331721
epoch: 3757
Epoch 3757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3757With loss 0.1267430099331721
epoch: 3758
Epoch 3758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3758With loss 0.1267430099331721
epoch: 3759
Epoch 3759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3759With loss 0.1267430099331721
epoch: 3760
Epoch 3760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3760With loss 0.1267430099331721
epoch: 3761
Epoch 3761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3761With loss 0.1267430099331721
epoch: 3762
Epoch 3762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3762With loss 0.1267430099331721
epoch: 3763
Epoch 3763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3763With loss 0.1267430099331721
epoch: 3764
Epoch 3764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3764With loss 0.1267430099331721
epoch: 3765
Epoch 3765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3765With loss 0.1267430099331721
epoch: 3766
Epoch 3766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3766With loss 0.1267430099331721
epoch: 3767
Epoch 3767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3767With loss 0.1267430099331721
epoch: 3768
Epoch 3768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3768With loss 0.1267430099331721
epoch: 3769
Epoch 3769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3769With loss 0.1267430099331721
epoch: 3770
Epoch 3770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3770With loss 0.1267430099331721
epoch: 3771
Epoch 3771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3771With loss 0.1267430099331721
epoch: 3772
Epoch 3772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3772With loss 0.1267430099331721
epoch: 3773
Epoch 3773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3773With loss 0.1267430099331721
epoch: 3774
Epoch 3774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3774With loss 0.1267430099331721
epoch: 3775
Epoch 3775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3775With loss 0.1267430099331721
epoch: 3776
Epoch 3776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3776With loss 0.1267430099331721
epoch: 3777
Epoch 3777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3777With loss 0.1267430099331721
epoch: 3778
Epoch 3778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3778With loss 0.1267430099331721
epoch: 3779
Epoch 3779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3779With loss 0.1267430099331721
epoch: 3780
Epoch 3780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3780With loss 0.1267430099331721
epoch: 3781
Epoch 3781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3781With loss 0.1267430099331721
epoch: 3782
Epoch 3782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3782With loss 0.1267430099331721
epoch: 3783
Epoch 3783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3783With loss 0.1267430099331721
epoch: 3784
Epoch 3784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3784With loss 0.1267430099331721
epoch: 3785
Epoch 3785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3785With loss 0.1267430099331721
epoch: 3786
Epoch 3786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3786With loss 0.1267430099331721
epoch: 3787
Epoch 3787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3787With loss 0.1267430099331721
epoch: 3788
Epoch 3788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3788With loss 0.1267430099331721
epoch: 3789
Epoch 3789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3789With loss 0.1267430099331721
epoch: 3790
Epoch 3790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3790With loss 0.1267430099331721
epoch: 3791
Epoch 3791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3791With loss 0.1267430099331721
epoch: 3792
Epoch 3792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3792With loss 0.1267430099331721
epoch: 3793
Epoch 3793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3793With loss 0.1267430099331721
epoch: 3794
Epoch 3794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3794With loss 0.1267430099331721
epoch: 3795
Epoch 3795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3795With loss 0.1267430099331721
epoch: 3796
Epoch 3796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3796With loss 0.1267430099331721
epoch: 3797
Epoch 3797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3797With loss 0.1267430099331721
epoch: 3798
Epoch 3798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3798With loss 0.1267430099331721
epoch: 3799
Epoch 3799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3799With loss 0.1267430099331721
epoch: 3800
Epoch 3800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3800With loss 0.1267430099331721
epoch: 3801
Epoch 3801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3801With loss 0.1267430099331721
epoch: 3802
Epoch 3802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3802With loss 0.1267430099331721
epoch: 3803
Epoch 3803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3803With loss 0.1267430099331721
epoch: 3804
Epoch 3804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3804With loss 0.1267430099331721
epoch: 3805
Epoch 3805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3805With loss 0.1267430099331721
epoch: 3806
Epoch 3806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3806With loss 0.1267430099331721
epoch: 3807
Epoch 3807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3807With loss 0.1267430099331721
epoch: 3808
Epoch 3808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3808With loss 0.1267430099331721
epoch: 3809
Epoch 3809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3809With loss 0.1267430099331721
epoch: 3810
Epoch 3810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3810With loss 0.1267430099331721
epoch: 3811
Epoch 3811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3811With loss 0.1267430099331721
epoch: 3812
Epoch 3812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3812With loss 0.1267430099331721
epoch: 3813
Epoch 3813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3813With loss 0.1267430099331721
epoch: 3814
Epoch 3814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3814With loss 0.1267430099331721
epoch: 3815
Epoch 3815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3815With loss 0.1267430099331721
epoch: 3816
Epoch 3816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3816With loss 0.1267430099331721
epoch: 3817
Epoch 3817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3817With loss 0.1267430099331721
epoch: 3818
Epoch 3818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3818With loss 0.1267430099331721
epoch: 3819
Epoch 3819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3819With loss 0.1267430099331721
epoch: 3820
Epoch 3820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3820With loss 0.1267430099331721
epoch: 3821
Epoch 3821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3821With loss 0.1267430099331721
epoch: 3822
Epoch 3822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3822With loss 0.1267430099331721
epoch: 3823
Epoch 3823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3823With loss 0.1267430099331721
epoch: 3824
Epoch 3824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3824With loss 0.1267430099331721
epoch: 3825
Epoch 3825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3825With loss 0.1267430099331721
epoch: 3826
Epoch 3826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3826With loss 0.1267430099331721
epoch: 3827
Epoch 3827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3827With loss 0.1267430099331721
epoch: 3828
Epoch 3828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3828With loss 0.1267430099331721
epoch: 3829
Epoch 3829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3829With loss 0.1267430099331721
epoch: 3830
Epoch 3830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3830With loss 0.1267430099331721
epoch: 3831
Epoch 3831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3831With loss 0.1267430099331721
epoch: 3832
Epoch 3832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3832With loss 0.1267430099331721
epoch: 3833
Epoch 3833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3833With loss 0.1267430099331721
epoch: 3834
Epoch 3834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3834With loss 0.1267430099331721
epoch: 3835
Epoch 3835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3835With loss 0.1267430099331721
epoch: 3836
Epoch 3836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3836With loss 0.1267430099331721
epoch: 3837
Epoch 3837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3837With loss 0.1267430099331721
epoch: 3838
Epoch 3838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3838With loss 0.1267430099331721
epoch: 3839
Epoch 3839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3839With loss 0.1267430099331721
epoch: 3840
Epoch 3840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3840With loss 0.1267430099331721
epoch: 3841
Epoch 3841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3841With loss 0.1267430099331721
epoch: 3842
Epoch 3842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3842With loss 0.1267430099331721
epoch: 3843
Epoch 3843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3843With loss 0.1267430099331721
epoch: 3844
Epoch 3844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3844With loss 0.1267430099331721
epoch: 3845
Epoch 3845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3845With loss 0.1267430099331721
epoch: 3846
Epoch 3846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3846With loss 0.1267430099331721
epoch: 3847
Epoch 3847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3847With loss 0.1267430099331721
epoch: 3848
Epoch 3848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3848With loss 0.1267430099331721
epoch: 3849
Epoch 3849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3849With loss 0.1267430099331721
epoch: 3850
Epoch 3850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3850With loss 0.1267430099331721
epoch: 3851
Epoch 3851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3851With loss 0.1267430099331721
epoch: 3852
Epoch 3852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3852With loss 0.1267430099331721
epoch: 3853
Epoch 3853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3853With loss 0.1267430099331721
epoch: 3854
Epoch 3854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3854With loss 0.1267430099331721
epoch: 3855
Epoch 3855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3855With loss 0.1267430099331721
epoch: 3856
Epoch 3856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3856With loss 0.1267430099331721
epoch: 3857
Epoch 3857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3857With loss 0.1267430099331721
epoch: 3858
Epoch 3858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3858With loss 0.1267430099331721
epoch: 3859
Epoch 3859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3859With loss 0.1267430099331721
epoch: 3860
Epoch 3860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3860With loss 0.1267430099331721
epoch: 3861
Epoch 3861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3861With loss 0.1267430099331721
epoch: 3862
Epoch 3862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3862With loss 0.1267430099331721
epoch: 3863
Epoch 3863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3863With loss 0.1267430099331721
epoch: 3864
Epoch 3864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3864With loss 0.1267430099331721
epoch: 3865
Epoch 3865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3865With loss 0.1267430099331721
epoch: 3866
Epoch 3866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3866With loss 0.1267430099331721
epoch: 3867
Epoch 3867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3867With loss 0.1267430099331721
epoch: 3868
Epoch 3868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3868With loss 0.1267430099331721
epoch: 3869
Epoch 3869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3869With loss 0.1267430099331721
epoch: 3870
Epoch 3870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3870With loss 0.1267430099331721
epoch: 3871
Epoch 3871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3871With loss 0.1267430099331721
epoch: 3872
Epoch 3872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3872With loss 0.1267430099331721
epoch: 3873
Epoch 3873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3873With loss 0.1267430099331721
epoch: 3874
Epoch 3874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3874With loss 0.1267430099331721
epoch: 3875
Epoch 3875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3875With loss 0.1267430099331721
epoch: 3876
Epoch 3876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3876With loss 0.1267430099331721
epoch: 3877
Epoch 3877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3877With loss 0.1267430099331721
epoch: 3878
Epoch 3878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3878With loss 0.1267430099331721
epoch: 3879
Epoch 3879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3879With loss 0.1267430099331721
epoch: 3880
Epoch 3880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3880With loss 0.1267430099331721
epoch: 3881
Epoch 3881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3881With loss 0.1267430099331721
epoch: 3882
Epoch 3882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3882With loss 0.1267430099331721
epoch: 3883
Epoch 3883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3883With loss 0.1267430099331721
epoch: 3884
Epoch 3884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3884With loss 0.1267430099331721
epoch: 3885
Epoch 3885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3885With loss 0.1267430099331721
epoch: 3886
Epoch 3886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3886With loss 0.1267430099331721
epoch: 3887
Epoch 3887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3887With loss 0.1267430099331721
epoch: 3888
Epoch 3888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3888With loss 0.1267430099331721
epoch: 3889
Epoch 3889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3889With loss 0.1267430099331721
epoch: 3890
Epoch 3890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3890With loss 0.1267430099331721
epoch: 3891
Epoch 3891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3891With loss 0.1267430099331721
epoch: 3892
Epoch 3892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3892With loss 0.1267430099331721
epoch: 3893
Epoch 3893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3893With loss 0.1267430099331721
epoch: 3894
Epoch 3894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3894With loss 0.1267430099331721
epoch: 3895
Epoch 3895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3895With loss 0.1267430099331721
epoch: 3896
Epoch 3896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3896With loss 0.1267430099331721
epoch: 3897
Epoch 3897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3897With loss 0.1267430099331721
epoch: 3898
Epoch 3898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3898With loss 0.1267430099331721
epoch: 3899
Epoch 3899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3899With loss 0.1267430099331721
epoch: 3900
Epoch 3900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3900With loss 0.1267430099331721
epoch: 3901
Epoch 3901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3901With loss 0.1267430099331721
epoch: 3902
Epoch 3902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3902With loss 0.1267430099331721
epoch: 3903
Epoch 3903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3903With loss 0.1267430099331721
epoch: 3904
Epoch 3904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3904With loss 0.1267430099331721
epoch: 3905
Epoch 3905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3905With loss 0.1267430099331721
epoch: 3906
Epoch 3906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3906With loss 0.1267430099331721
epoch: 3907
Epoch 3907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3907With loss 0.1267430099331721
epoch: 3908
Epoch 3908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3908With loss 0.1267430099331721
epoch: 3909
Epoch 3909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3909With loss 0.1267430099331721
epoch: 3910
Epoch 3910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3910With loss 0.1267430099331721
epoch: 3911
Epoch 3911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3911With loss 0.1267430099331721
epoch: 3912
Epoch 3912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3912With loss 0.1267430099331721
epoch: 3913
Epoch 3913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3913With loss 0.1267430099331721
epoch: 3914
Epoch 3914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3914With loss 0.1267430099331721
epoch: 3915
Epoch 3915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3915With loss 0.1267430099331721
epoch: 3916
Epoch 3916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3916With loss 0.1267430099331721
epoch: 3917
Epoch 3917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3917With loss 0.1267430099331721
epoch: 3918
Epoch 3918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3918With loss 0.1267430099331721
epoch: 3919
Epoch 3919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3919With loss 0.1267430099331721
epoch: 3920
Epoch 3920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3920With loss 0.1267430099331721
epoch: 3921
Epoch 3921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3921With loss 0.1267430099331721
epoch: 3922
Epoch 3922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3922With loss 0.1267430099331721
epoch: 3923
Epoch 3923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3923With loss 0.1267430099331721
epoch: 3924
Epoch 3924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3924With loss 0.1267430099331721
epoch: 3925
Epoch 3925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3925With loss 0.1267430099331721
epoch: 3926
Epoch 3926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3926With loss 0.1267430099331721
epoch: 3927
Epoch 3927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3927With loss 0.1267430099331721
epoch: 3928
Epoch 3928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3928With loss 0.1267430099331721
epoch: 3929
Epoch 3929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3929With loss 0.1267430099331721
epoch: 3930
Epoch 3930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3930With loss 0.1267430099331721
epoch: 3931
Epoch 3931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3931With loss 0.1267430099331721
epoch: 3932
Epoch 3932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3932With loss 0.1267430099331721
epoch: 3933
Epoch 3933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3933With loss 0.1267430099331721
epoch: 3934
Epoch 3934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3934With loss 0.1267430099331721
epoch: 3935
Epoch 3935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3935With loss 0.1267430099331721
epoch: 3936
Epoch 3936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3936With loss 0.1267430099331721
epoch: 3937
Epoch 3937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3937With loss 0.1267430099331721
epoch: 3938
Epoch 3938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3938With loss 0.1267430099331721
epoch: 3939
Epoch 3939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3939With loss 0.1267430099331721
epoch: 3940
Epoch 3940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3940With loss 0.1267430099331721
epoch: 3941
Epoch 3941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3941With loss 0.1267430099331721
epoch: 3942
Epoch 3942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3942With loss 0.1267430099331721
epoch: 3943
Epoch 3943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3943With loss 0.1267430099331721
epoch: 3944
Epoch 3944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3944With loss 0.1267430099331721
epoch: 3945
Epoch 3945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3945With loss 0.1267430099331721
epoch: 3946
Epoch 3946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3946With loss 0.1267430099331721
epoch: 3947
Epoch 3947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3947With loss 0.1267430099331721
epoch: 3948
Epoch 3948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3948With loss 0.1267430099331721
epoch: 3949
Epoch 3949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3949With loss 0.1267430099331721
epoch: 3950
Epoch 3950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3950With loss 0.1267430099331721
epoch: 3951
Epoch 3951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3951With loss 0.1267430099331721
epoch: 3952
Epoch 3952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3952With loss 0.1267430099331721
epoch: 3953
Epoch 3953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3953With loss 0.1267430099331721
epoch: 3954
Epoch 3954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3954With loss 0.1267430099331721
epoch: 3955
Epoch 3955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3955With loss 0.1267430099331721
epoch: 3956
Epoch 3956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3956With loss 0.1267430099331721
epoch: 3957
Epoch 3957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3957With loss 0.1267430099331721
epoch: 3958
Epoch 3958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3958With loss 0.1267430099331721
epoch: 3959
Epoch 3959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3959With loss 0.1267430099331721
epoch: 3960
Epoch 3960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3960With loss 0.1267430099331721
epoch: 3961
Epoch 3961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3961With loss 0.1267430099331721
epoch: 3962
Epoch 3962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3962With loss 0.1267430099331721
epoch: 3963
Epoch 3963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3963With loss 0.1267430099331721
epoch: 3964
Epoch 3964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3964With loss 0.1267430099331721
epoch: 3965
Epoch 3965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3965With loss 0.1267430099331721
epoch: 3966
Epoch 3966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3966With loss 0.1267430099331721
epoch: 3967
Epoch 3967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3967With loss 0.1267430099331721
epoch: 3968
Epoch 3968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3968With loss 0.1267430099331721
epoch: 3969
Epoch 3969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3969With loss 0.1267430099331721
epoch: 3970
Epoch 3970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3970With loss 0.1267430099331721
epoch: 3971
Epoch 3971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3971With loss 0.1267430099331721
epoch: 3972
Epoch 3972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3972With loss 0.1267430099331721
epoch: 3973
Epoch 3973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3973With loss 0.1267430099331721
epoch: 3974
Epoch 3974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3974With loss 0.1267430099331721
epoch: 3975
Epoch 3975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3975With loss 0.1267430099331721
epoch: 3976
Epoch 3976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3976With loss 0.1267430099331721
epoch: 3977
Epoch 3977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3977With loss 0.1267430099331721
epoch: 3978
Epoch 3978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3978With loss 0.1267430099331721
epoch: 3979
Epoch 3979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3979With loss 0.1267430099331721
epoch: 3980
Epoch 3980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3980With loss 0.1267430099331721
epoch: 3981
Epoch 3981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3981With loss 0.1267430099331721
epoch: 3982
Epoch 3982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3982With loss 0.1267430099331721
epoch: 3983
Epoch 3983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3983With loss 0.1267430099331721
epoch: 3984
Epoch 3984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3984With loss 0.1267430099331721
epoch: 3985
Epoch 3985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3985With loss 0.1267430099331721
epoch: 3986
Epoch 3986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3986With loss 0.1267430099331721
epoch: 3987
Epoch 3987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3987With loss 0.1267430099331721
epoch: 3988
Epoch 3988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3988With loss 0.1267430099331721
epoch: 3989
Epoch 3989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3989With loss 0.1267430099331721
epoch: 3990
Epoch 3990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3990With loss 0.1267430099331721
epoch: 3991
Epoch 3991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3991With loss 0.1267430099331721
epoch: 3992
Epoch 3992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3992With loss 0.1267430099331721
epoch: 3993
Epoch 3993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3993With loss 0.1267430099331721
epoch: 3994
Epoch 3994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3994With loss 0.1267430099331721
epoch: 3995
Epoch 3995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3995With loss 0.1267430099331721
epoch: 3996
Epoch 3996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3996With loss 0.1267430099331721
epoch: 3997
Epoch 3997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3997With loss 0.1267430099331721
epoch: 3998
Epoch 3998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3998With loss 0.1267430099331721
epoch: 3999
Epoch 3999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 3999With loss 0.1267430099331721
epoch: 4000
Epoch 4000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4000With loss 0.1267430099331721
epoch: 4001
Epoch 4001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4001With loss 0.1267430099331721
epoch: 4002
Epoch 4002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4002With loss 0.1267430099331721
epoch: 4003
Epoch 4003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4003With loss 0.1267430099331721
epoch: 4004
Epoch 4004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4004With loss 0.1267430099331721
epoch: 4005
Epoch 4005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4005With loss 0.1267430099331721
epoch: 4006
Epoch 4006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4006With loss 0.1267430099331721
epoch: 4007
Epoch 4007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4007With loss 0.1267430099331721
epoch: 4008
Epoch 4008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4008With loss 0.1267430099331721
epoch: 4009
Epoch 4009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4009With loss 0.1267430099331721
epoch: 4010
Epoch 4010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4010With loss 0.1267430099331721
epoch: 4011
Epoch 4011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4011With loss 0.1267430099331721
epoch: 4012
Epoch 4012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4012With loss 0.1267430099331721
epoch: 4013
Epoch 4013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4013With loss 0.1267430099331721
epoch: 4014
Epoch 4014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4014With loss 0.1267430099331721
epoch: 4015
Epoch 4015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4015With loss 0.1267430099331721
epoch: 4016
Epoch 4016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4016With loss 0.1267430099331721
epoch: 4017
Epoch 4017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4017With loss 0.1267430099331721
epoch: 4018
Epoch 4018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4018With loss 0.1267430099331721
epoch: 4019
Epoch 4019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4019With loss 0.1267430099331721
epoch: 4020
Epoch 4020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4020With loss 0.1267430099331721
epoch: 4021
Epoch 4021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4021With loss 0.1267430099331721
epoch: 4022
Epoch 4022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4022With loss 0.1267430099331721
epoch: 4023
Epoch 4023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4023With loss 0.1267430099331721
epoch: 4024
Epoch 4024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4024With loss 0.1267430099331721
epoch: 4025
Epoch 4025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4025With loss 0.1267430099331721
epoch: 4026
Epoch 4026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4026With loss 0.1267430099331721
epoch: 4027
Epoch 4027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4027With loss 0.1267430099331721
epoch: 4028
Epoch 4028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4028With loss 0.1267430099331721
epoch: 4029
Epoch 4029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4029With loss 0.1267430099331721
epoch: 4030
Epoch 4030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4030With loss 0.1267430099331721
epoch: 4031
Epoch 4031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4031With loss 0.1267430099331721
epoch: 4032
Epoch 4032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4032With loss 0.1267430099331721
epoch: 4033
Epoch 4033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4033With loss 0.1267430099331721
epoch: 4034
Epoch 4034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4034With loss 0.1267430099331721
epoch: 4035
Epoch 4035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4035With loss 0.1267430099331721
epoch: 4036
Epoch 4036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4036With loss 0.1267430099331721
epoch: 4037
Epoch 4037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4037With loss 0.1267430099331721
epoch: 4038
Epoch 4038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4038With loss 0.1267430099331721
epoch: 4039
Epoch 4039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4039With loss 0.1267430099331721
epoch: 4040
Epoch 4040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4040With loss 0.1267430099331721
epoch: 4041
Epoch 4041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4041With loss 0.1267430099331721
epoch: 4042
Epoch 4042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4042With loss 0.1267430099331721
epoch: 4043
Epoch 4043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4043With loss 0.1267430099331721
epoch: 4044
Epoch 4044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4044With loss 0.1267430099331721
epoch: 4045
Epoch 4045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4045With loss 0.1267430099331721
epoch: 4046
Epoch 4046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4046With loss 0.1267430099331721
epoch: 4047
Epoch 4047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4047With loss 0.1267430099331721
epoch: 4048
Epoch 4048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4048With loss 0.1267430099331721
epoch: 4049
Epoch 4049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4049With loss 0.1267430099331721
epoch: 4050
Epoch 4050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4050With loss 0.1267430099331721
epoch: 4051
Epoch 4051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4051With loss 0.1267430099331721
epoch: 4052
Epoch 4052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4052With loss 0.1267430099331721
epoch: 4053
Epoch 4053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4053With loss 0.1267430099331721
epoch: 4054
Epoch 4054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4054With loss 0.1267430099331721
epoch: 4055
Epoch 4055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4055With loss 0.1267430099331721
epoch: 4056
Epoch 4056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4056With loss 0.1267430099331721
epoch: 4057
Epoch 4057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4057With loss 0.1267430099331721
epoch: 4058
Epoch 4058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4058With loss 0.1267430099331721
epoch: 4059
Epoch 4059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4059With loss 0.1267430099331721
epoch: 4060
Epoch 4060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4060With loss 0.1267430099331721
epoch: 4061
Epoch 4061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4061With loss 0.1267430099331721
epoch: 4062
Epoch 4062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4062With loss 0.1267430099331721
epoch: 4063
Epoch 4063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4063With loss 0.1267430099331721
epoch: 4064
Epoch 4064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4064With loss 0.1267430099331721
epoch: 4065
Epoch 4065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4065With loss 0.1267430099331721
epoch: 4066
Epoch 4066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4066With loss 0.1267430099331721
epoch: 4067
Epoch 4067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4067With loss 0.1267430099331721
epoch: 4068
Epoch 4068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4068With loss 0.1267430099331721
epoch: 4069
Epoch 4069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4069With loss 0.1267430099331721
epoch: 4070
Epoch 4070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4070With loss 0.1267430099331721
epoch: 4071
Epoch 4071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4071With loss 0.1267430099331721
epoch: 4072
Epoch 4072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4072With loss 0.1267430099331721
epoch: 4073
Epoch 4073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4073With loss 0.1267430099331721
epoch: 4074
Epoch 4074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4074With loss 0.1267430099331721
epoch: 4075
Epoch 4075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4075With loss 0.1267430099331721
epoch: 4076
Epoch 4076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4076With loss 0.1267430099331721
epoch: 4077
Epoch 4077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4077With loss 0.1267430099331721
epoch: 4078
Epoch 4078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4078With loss 0.1267430099331721
epoch: 4079
Epoch 4079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4079With loss 0.1267430099331721
epoch: 4080
Epoch 4080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4080With loss 0.1267430099331721
epoch: 4081
Epoch 4081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4081With loss 0.1267430099331721
epoch: 4082
Epoch 4082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4082With loss 0.1267430099331721
epoch: 4083
Epoch 4083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4083With loss 0.1267430099331721
epoch: 4084
Epoch 4084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4084With loss 0.1267430099331721
epoch: 4085
Epoch 4085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4085With loss 0.1267430099331721
epoch: 4086
Epoch 4086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4086With loss 0.1267430099331721
epoch: 4087
Epoch 4087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4087With loss 0.1267430099331721
epoch: 4088
Epoch 4088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4088With loss 0.1267430099331721
epoch: 4089
Epoch 4089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4089With loss 0.1267430099331721
epoch: 4090
Epoch 4090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4090With loss 0.1267430099331721
epoch: 4091
Epoch 4091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4091With loss 0.1267430099331721
epoch: 4092
Epoch 4092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4092With loss 0.1267430099331721
epoch: 4093
Epoch 4093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4093With loss 0.1267430099331721
epoch: 4094
Epoch 4094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4094With loss 0.1267430099331721
epoch: 4095
Epoch 4095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4095With loss 0.1267430099331721
epoch: 4096
Epoch 4096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4096With loss 0.1267430099331721
epoch: 4097
Epoch 4097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4097With loss 0.1267430099331721
epoch: 4098
Epoch 4098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4098With loss 0.1267430099331721
epoch: 4099
Epoch 4099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4099With loss 0.1267430099331721
epoch: 4100
Epoch 4100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4100With loss 0.1267430099331721
epoch: 4101
Epoch 4101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4101With loss 0.1267430099331721
epoch: 4102
Epoch 4102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4102With loss 0.1267430099331721
epoch: 4103
Epoch 4103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4103With loss 0.1267430099331721
epoch: 4104
Epoch 4104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4104With loss 0.1267430099331721
epoch: 4105
Epoch 4105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4105With loss 0.1267430099331721
epoch: 4106
Epoch 4106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4106With loss 0.1267430099331721
epoch: 4107
Epoch 4107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4107With loss 0.1267430099331721
epoch: 4108
Epoch 4108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4108With loss 0.1267430099331721
epoch: 4109
Epoch 4109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4109With loss 0.1267430099331721
epoch: 4110
Epoch 4110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4110With loss 0.1267430099331721
epoch: 4111
Epoch 4111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4111With loss 0.1267430099331721
epoch: 4112
Epoch 4112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4112With loss 0.1267430099331721
epoch: 4113
Epoch 4113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4113With loss 0.1267430099331721
epoch: 4114
Epoch 4114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4114With loss 0.1267430099331721
epoch: 4115
Epoch 4115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4115With loss 0.1267430099331721
epoch: 4116
Epoch 4116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4116With loss 0.1267430099331721
epoch: 4117
Epoch 4117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4117With loss 0.1267430099331721
epoch: 4118
Epoch 4118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4118With loss 0.1267430099331721
epoch: 4119
Epoch 4119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4119With loss 0.1267430099331721
epoch: 4120
Epoch 4120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4120With loss 0.1267430099331721
epoch: 4121
Epoch 4121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4121With loss 0.1267430099331721
epoch: 4122
Epoch 4122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4122With loss 0.1267430099331721
epoch: 4123
Epoch 4123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4123With loss 0.1267430099331721
epoch: 4124
Epoch 4124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4124With loss 0.1267430099331721
epoch: 4125
Epoch 4125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4125With loss 0.1267430099331721
epoch: 4126
Epoch 4126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4126With loss 0.1267430099331721
epoch: 4127
Epoch 4127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4127With loss 0.1267430099331721
epoch: 4128
Epoch 4128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4128With loss 0.1267430099331721
epoch: 4129
Epoch 4129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4129With loss 0.1267430099331721
epoch: 4130
Epoch 4130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4130With loss 0.1267430099331721
epoch: 4131
Epoch 4131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4131With loss 0.1267430099331721
epoch: 4132
Epoch 4132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4132With loss 0.1267430099331721
epoch: 4133
Epoch 4133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4133With loss 0.1267430099331721
epoch: 4134
Epoch 4134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4134With loss 0.1267430099331721
epoch: 4135
Epoch 4135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4135With loss 0.1267430099331721
epoch: 4136
Epoch 4136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4136With loss 0.1267430099331721
epoch: 4137
Epoch 4137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4137With loss 0.1267430099331721
epoch: 4138
Epoch 4138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4138With loss 0.1267430099331721
epoch: 4139
Epoch 4139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4139With loss 0.1267430099331721
epoch: 4140
Epoch 4140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4140With loss 0.1267430099331721
epoch: 4141
Epoch 4141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4141With loss 0.1267430099331721
epoch: 4142
Epoch 4142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4142With loss 0.1267430099331721
epoch: 4143
Epoch 4143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4143With loss 0.1267430099331721
epoch: 4144
Epoch 4144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4144With loss 0.1267430099331721
epoch: 4145
Epoch 4145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4145With loss 0.1267430099331721
epoch: 4146
Epoch 4146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4146With loss 0.1267430099331721
epoch: 4147
Epoch 4147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4147With loss 0.1267430099331721
epoch: 4148
Epoch 4148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4148With loss 0.1267430099331721
epoch: 4149
Epoch 4149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4149With loss 0.1267430099331721
epoch: 4150
Epoch 4150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4150With loss 0.1267430099331721
epoch: 4151
Epoch 4151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4151With loss 0.1267430099331721
epoch: 4152
Epoch 4152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4152With loss 0.1267430099331721
epoch: 4153
Epoch 4153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4153With loss 0.1267430099331721
epoch: 4154
Epoch 4154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4154With loss 0.1267430099331721
epoch: 4155
Epoch 4155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4155With loss 0.1267430099331721
epoch: 4156
Epoch 4156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4156With loss 0.1267430099331721
epoch: 4157
Epoch 4157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4157With loss 0.1267430099331721
epoch: 4158
Epoch 4158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4158With loss 0.1267430099331721
epoch: 4159
Epoch 4159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4159With loss 0.1267430099331721
epoch: 4160
Epoch 4160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4160With loss 0.1267430099331721
epoch: 4161
Epoch 4161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4161With loss 0.1267430099331721
epoch: 4162
Epoch 4162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4162With loss 0.1267430099331721
epoch: 4163
Epoch 4163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4163With loss 0.1267430099331721
epoch: 4164
Epoch 4164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4164With loss 0.1267430099331721
epoch: 4165
Epoch 4165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4165With loss 0.1267430099331721
epoch: 4166
Epoch 4166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4166With loss 0.1267430099331721
epoch: 4167
Epoch 4167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4167With loss 0.1267430099331721
epoch: 4168
Epoch 4168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4168With loss 0.1267430099331721
epoch: 4169
Epoch 4169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4169With loss 0.1267430099331721
epoch: 4170
Epoch 4170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4170With loss 0.1267430099331721
epoch: 4171
Epoch 4171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4171With loss 0.1267430099331721
epoch: 4172
Epoch 4172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4172With loss 0.1267430099331721
epoch: 4173
Epoch 4173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4173With loss 0.1267430099331721
epoch: 4174
Epoch 4174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4174With loss 0.1267430099331721
epoch: 4175
Epoch 4175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4175With loss 0.1267430099331721
epoch: 4176
Epoch 4176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4176With loss 0.1267430099331721
epoch: 4177
Epoch 4177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4177With loss 0.1267430099331721
epoch: 4178
Epoch 4178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4178With loss 0.1267430099331721
epoch: 4179
Epoch 4179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4179With loss 0.1267430099331721
epoch: 4180
Epoch 4180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4180With loss 0.1267430099331721
epoch: 4181
Epoch 4181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4181With loss 0.1267430099331721
epoch: 4182
Epoch 4182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4182With loss 0.1267430099331721
epoch: 4183
Epoch 4183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4183With loss 0.1267430099331721
epoch: 4184
Epoch 4184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4184With loss 0.1267430099331721
epoch: 4185
Epoch 4185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4185With loss 0.1267430099331721
epoch: 4186
Epoch 4186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4186With loss 0.1267430099331721
epoch: 4187
Epoch 4187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4187With loss 0.1267430099331721
epoch: 4188
Epoch 4188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4188With loss 0.1267430099331721
epoch: 4189
Epoch 4189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4189With loss 0.1267430099331721
epoch: 4190
Epoch 4190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4190With loss 0.1267430099331721
epoch: 4191
Epoch 4191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4191With loss 0.1267430099331721
epoch: 4192
Epoch 4192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4192With loss 0.1267430099331721
epoch: 4193
Epoch 4193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4193With loss 0.1267430099331721
epoch: 4194
Epoch 4194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4194With loss 0.1267430099331721
epoch: 4195
Epoch 4195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4195With loss 0.1267430099331721
epoch: 4196
Epoch 4196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4196With loss 0.1267430099331721
epoch: 4197
Epoch 4197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4197With loss 0.1267430099331721
epoch: 4198
Epoch 4198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4198With loss 0.1267430099331721
epoch: 4199
Epoch 4199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4199With loss 0.1267430099331721
epoch: 4200
Epoch 4200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4200With loss 0.1267430099331721
epoch: 4201
Epoch 4201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4201With loss 0.1267430099331721
epoch: 4202
Epoch 4202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4202With loss 0.1267430099331721
epoch: 4203
Epoch 4203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4203With loss 0.1267430099331721
epoch: 4204
Epoch 4204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4204With loss 0.1267430099331721
epoch: 4205
Epoch 4205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4205With loss 0.1267430099331721
epoch: 4206
Epoch 4206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4206With loss 0.1267430099331721
epoch: 4207
Epoch 4207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4207With loss 0.1267430099331721
epoch: 4208
Epoch 4208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4208With loss 0.1267430099331721
epoch: 4209
Epoch 4209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4209With loss 0.1267430099331721
epoch: 4210
Epoch 4210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4210With loss 0.1267430099331721
epoch: 4211
Epoch 4211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4211With loss 0.1267430099331721
epoch: 4212
Epoch 4212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4212With loss 0.1267430099331721
epoch: 4213
Epoch 4213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4213With loss 0.1267430099331721
epoch: 4214
Epoch 4214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4214With loss 0.1267430099331721
epoch: 4215
Epoch 4215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4215With loss 0.1267430099331721
epoch: 4216
Epoch 4216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4216With loss 0.1267430099331721
epoch: 4217
Epoch 4217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4217With loss 0.1267430099331721
epoch: 4218
Epoch 4218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4218With loss 0.1267430099331721
epoch: 4219
Epoch 4219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4219With loss 0.1267430099331721
epoch: 4220
Epoch 4220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4220With loss 0.1267430099331721
epoch: 4221
Epoch 4221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4221With loss 0.1267430099331721
epoch: 4222
Epoch 4222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4222With loss 0.1267430099331721
epoch: 4223
Epoch 4223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4223With loss 0.1267430099331721
epoch: 4224
Epoch 4224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4224With loss 0.1267430099331721
epoch: 4225
Epoch 4225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4225With loss 0.1267430099331721
epoch: 4226
Epoch 4226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4226With loss 0.1267430099331721
epoch: 4227
Epoch 4227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4227With loss 0.1267430099331721
epoch: 4228
Epoch 4228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4228With loss 0.1267430099331721
epoch: 4229
Epoch 4229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4229With loss 0.1267430099331721
epoch: 4230
Epoch 4230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4230With loss 0.1267430099331721
epoch: 4231
Epoch 4231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4231With loss 0.1267430099331721
epoch: 4232
Epoch 4232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4232With loss 0.1267430099331721
epoch: 4233
Epoch 4233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4233With loss 0.1267430099331721
epoch: 4234
Epoch 4234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4234With loss 0.1267430099331721
epoch: 4235
Epoch 4235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4235With loss 0.1267430099331721
epoch: 4236
Epoch 4236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4236With loss 0.1267430099331721
epoch: 4237
Epoch 4237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4237With loss 0.1267430099331721
epoch: 4238
Epoch 4238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4238With loss 0.1267430099331721
epoch: 4239
Epoch 4239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4239With loss 0.1267430099331721
epoch: 4240
Epoch 4240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4240With loss 0.1267430099331721
epoch: 4241
Epoch 4241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4241With loss 0.1267430099331721
epoch: 4242
Epoch 4242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4242With loss 0.1267430099331721
epoch: 4243
Epoch 4243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4243With loss 0.1267430099331721
epoch: 4244
Epoch 4244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4244With loss 0.1267430099331721
epoch: 4245
Epoch 4245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4245With loss 0.1267430099331721
epoch: 4246
Epoch 4246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4246With loss 0.1267430099331721
epoch: 4247
Epoch 4247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4247With loss 0.1267430099331721
epoch: 4248
Epoch 4248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4248With loss 0.1267430099331721
epoch: 4249
Epoch 4249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4249With loss 0.1267430099331721
epoch: 4250
Epoch 4250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4250With loss 0.1267430099331721
epoch: 4251
Epoch 4251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4251With loss 0.1267430099331721
epoch: 4252
Epoch 4252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4252With loss 0.1267430099331721
epoch: 4253
Epoch 4253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4253With loss 0.1267430099331721
epoch: 4254
Epoch 4254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4254With loss 0.1267430099331721
epoch: 4255
Epoch 4255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4255With loss 0.1267430099331721
epoch: 4256
Epoch 4256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4256With loss 0.1267430099331721
epoch: 4257
Epoch 4257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4257With loss 0.1267430099331721
epoch: 4258
Epoch 4258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4258With loss 0.1267430099331721
epoch: 4259
Epoch 4259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4259With loss 0.1267430099331721
epoch: 4260
Epoch 4260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4260With loss 0.1267430099331721
epoch: 4261
Epoch 4261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4261With loss 0.1267430099331721
epoch: 4262
Epoch 4262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4262With loss 0.1267430099331721
epoch: 4263
Epoch 4263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4263With loss 0.1267430099331721
epoch: 4264
Epoch 4264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4264With loss 0.1267430099331721
epoch: 4265
Epoch 4265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4265With loss 0.1267430099331721
epoch: 4266
Epoch 4266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4266With loss 0.1267430099331721
epoch: 4267
Epoch 4267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4267With loss 0.1267430099331721
epoch: 4268
Epoch 4268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4268With loss 0.1267430099331721
epoch: 4269
Epoch 4269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4269With loss 0.1267430099331721
epoch: 4270
Epoch 4270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4270With loss 0.1267430099331721
epoch: 4271
Epoch 4271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4271With loss 0.1267430099331721
epoch: 4272
Epoch 4272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4272With loss 0.1267430099331721
epoch: 4273
Epoch 4273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4273With loss 0.1267430099331721
epoch: 4274
Epoch 4274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4274With loss 0.1267430099331721
epoch: 4275
Epoch 4275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4275With loss 0.1267430099331721
epoch: 4276
Epoch 4276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4276With loss 0.1267430099331721
epoch: 4277
Epoch 4277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4277With loss 0.1267430099331721
epoch: 4278
Epoch 4278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4278With loss 0.1267430099331721
epoch: 4279
Epoch 4279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4279With loss 0.1267430099331721
epoch: 4280
Epoch 4280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4280With loss 0.1267430099331721
epoch: 4281
Epoch 4281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4281With loss 0.1267430099331721
epoch: 4282
Epoch 4282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4282With loss 0.1267430099331721
epoch: 4283
Epoch 4283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4283With loss 0.1267430099331721
epoch: 4284
Epoch 4284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4284With loss 0.1267430099331721
epoch: 4285
Epoch 4285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4285With loss 0.1267430099331721
epoch: 4286
Epoch 4286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4286With loss 0.1267430099331721
epoch: 4287
Epoch 4287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4287With loss 0.1267430099331721
epoch: 4288
Epoch 4288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4288With loss 0.1267430099331721
epoch: 4289
Epoch 4289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4289With loss 0.1267430099331721
epoch: 4290
Epoch 4290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4290With loss 0.1267430099331721
epoch: 4291
Epoch 4291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4291With loss 0.1267430099331721
epoch: 4292
Epoch 4292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4292With loss 0.1267430099331721
epoch: 4293
Epoch 4293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4293With loss 0.1267430099331721
epoch: 4294
Epoch 4294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4294With loss 0.1267430099331721
epoch: 4295
Epoch 4295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4295With loss 0.1267430099331721
epoch: 4296
Epoch 4296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4296With loss 0.1267430099331721
epoch: 4297
Epoch 4297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4297With loss 0.1267430099331721
epoch: 4298
Epoch 4298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4298With loss 0.1267430099331721
epoch: 4299
Epoch 4299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4299With loss 0.1267430099331721
epoch: 4300
Epoch 4300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4300With loss 0.1267430099331721
epoch: 4301
Epoch 4301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4301With loss 0.1267430099331721
epoch: 4302
Epoch 4302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4302With loss 0.1267430099331721
epoch: 4303
Epoch 4303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4303With loss 0.1267430099331721
epoch: 4304
Epoch 4304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4304With loss 0.1267430099331721
epoch: 4305
Epoch 4305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4305With loss 0.1267430099331721
epoch: 4306
Epoch 4306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4306With loss 0.1267430099331721
epoch: 4307
Epoch 4307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4307With loss 0.1267430099331721
epoch: 4308
Epoch 4308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4308With loss 0.1267430099331721
epoch: 4309
Epoch 4309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4309With loss 0.1267430099331721
epoch: 4310
Epoch 4310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4310With loss 0.1267430099331721
epoch: 4311
Epoch 4311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4311With loss 0.1267430099331721
epoch: 4312
Epoch 4312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4312With loss 0.1267430099331721
epoch: 4313
Epoch 4313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4313With loss 0.1267430099331721
epoch: 4314
Epoch 4314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4314With loss 0.1267430099331721
epoch: 4315
Epoch 4315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4315With loss 0.1267430099331721
epoch: 4316
Epoch 4316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4316With loss 0.1267430099331721
epoch: 4317
Epoch 4317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4317With loss 0.1267430099331721
epoch: 4318
Epoch 4318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4318With loss 0.1267430099331721
epoch: 4319
Epoch 4319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4319With loss 0.1267430099331721
epoch: 4320
Epoch 4320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4320With loss 0.1267430099331721
epoch: 4321
Epoch 4321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4321With loss 0.1267430099331721
epoch: 4322
Epoch 4322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4322With loss 0.1267430099331721
epoch: 4323
Epoch 4323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4323With loss 0.1267430099331721
epoch: 4324
Epoch 4324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4324With loss 0.1267430099331721
epoch: 4325
Epoch 4325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4325With loss 0.1267430099331721
epoch: 4326
Epoch 4326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4326With loss 0.1267430099331721
epoch: 4327
Epoch 4327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4327With loss 0.1267430099331721
epoch: 4328
Epoch 4328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4328With loss 0.1267430099331721
epoch: 4329
Epoch 4329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4329With loss 0.1267430099331721
epoch: 4330
Epoch 4330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4330With loss 0.1267430099331721
epoch: 4331
Epoch 4331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4331With loss 0.1267430099331721
epoch: 4332
Epoch 4332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4332With loss 0.1267430099331721
epoch: 4333
Epoch 4333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4333With loss 0.1267430099331721
epoch: 4334
Epoch 4334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4334With loss 0.1267430099331721
epoch: 4335
Epoch 4335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4335With loss 0.1267430099331721
epoch: 4336
Epoch 4336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4336With loss 0.1267430099331721
epoch: 4337
Epoch 4337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4337With loss 0.1267430099331721
epoch: 4338
Epoch 4338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4338With loss 0.1267430099331721
epoch: 4339
Epoch 4339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4339With loss 0.1267430099331721
epoch: 4340
Epoch 4340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4340With loss 0.1267430099331721
epoch: 4341
Epoch 4341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4341With loss 0.1267430099331721
epoch: 4342
Epoch 4342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4342With loss 0.1267430099331721
epoch: 4343
Epoch 4343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4343With loss 0.1267430099331721
epoch: 4344
Epoch 4344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4344With loss 0.1267430099331721
epoch: 4345
Epoch 4345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4345With loss 0.1267430099331721
epoch: 4346
Epoch 4346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4346With loss 0.1267430099331721
epoch: 4347
Epoch 4347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4347With loss 0.1267430099331721
epoch: 4348
Epoch 4348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4348With loss 0.1267430099331721
epoch: 4349
Epoch 4349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4349With loss 0.1267430099331721
epoch: 4350
Epoch 4350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4350With loss 0.1267430099331721
epoch: 4351
Epoch 4351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4351With loss 0.1267430099331721
epoch: 4352
Epoch 4352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4352With loss 0.1267430099331721
epoch: 4353
Epoch 4353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4353With loss 0.1267430099331721
epoch: 4354
Epoch 4354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4354With loss 0.1267430099331721
epoch: 4355
Epoch 4355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4355With loss 0.1267430099331721
epoch: 4356
Epoch 4356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4356With loss 0.1267430099331721
epoch: 4357
Epoch 4357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4357With loss 0.1267430099331721
epoch: 4358
Epoch 4358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4358With loss 0.1267430099331721
epoch: 4359
Epoch 4359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4359With loss 0.1267430099331721
epoch: 4360
Epoch 4360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4360With loss 0.1267430099331721
epoch: 4361
Epoch 4361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4361With loss 0.1267430099331721
epoch: 4362
Epoch 4362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4362With loss 0.1267430099331721
epoch: 4363
Epoch 4363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4363With loss 0.1267430099331721
epoch: 4364
Epoch 4364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4364With loss 0.1267430099331721
epoch: 4365
Epoch 4365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4365With loss 0.1267430099331721
epoch: 4366
Epoch 4366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4366With loss 0.1267430099331721
epoch: 4367
Epoch 4367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4367With loss 0.1267430099331721
epoch: 4368
Epoch 4368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4368With loss 0.1267430099331721
epoch: 4369
Epoch 4369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4369With loss 0.1267430099331721
epoch: 4370
Epoch 4370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4370With loss 0.1267430099331721
epoch: 4371
Epoch 4371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4371With loss 0.1267430099331721
epoch: 4372
Epoch 4372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4372With loss 0.1267430099331721
epoch: 4373
Epoch 4373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4373With loss 0.1267430099331721
epoch: 4374
Epoch 4374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4374With loss 0.1267430099331721
epoch: 4375
Epoch 4375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4375With loss 0.1267430099331721
epoch: 4376
Epoch 4376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4376With loss 0.1267430099331721
epoch: 4377
Epoch 4377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4377With loss 0.1267430099331721
epoch: 4378
Epoch 4378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4378With loss 0.1267430099331721
epoch: 4379
Epoch 4379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4379With loss 0.1267430099331721
epoch: 4380
Epoch 4380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4380With loss 0.1267430099331721
epoch: 4381
Epoch 4381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4381With loss 0.1267430099331721
epoch: 4382
Epoch 4382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4382With loss 0.1267430099331721
epoch: 4383
Epoch 4383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4383With loss 0.1267430099331721
epoch: 4384
Epoch 4384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4384With loss 0.1267430099331721
epoch: 4385
Epoch 4385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4385With loss 0.1267430099331721
epoch: 4386
Epoch 4386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4386With loss 0.1267430099331721
epoch: 4387
Epoch 4387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4387With loss 0.1267430099331721
epoch: 4388
Epoch 4388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4388With loss 0.1267430099331721
epoch: 4389
Epoch 4389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4389With loss 0.1267430099331721
epoch: 4390
Epoch 4390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4390With loss 0.1267430099331721
epoch: 4391
Epoch 4391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4391With loss 0.1267430099331721
epoch: 4392
Epoch 4392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4392With loss 0.1267430099331721
epoch: 4393
Epoch 4393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4393With loss 0.1267430099331721
epoch: 4394
Epoch 4394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4394With loss 0.1267430099331721
epoch: 4395
Epoch 4395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4395With loss 0.1267430099331721
epoch: 4396
Epoch 4396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4396With loss 0.1267430099331721
epoch: 4397
Epoch 4397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4397With loss 0.1267430099331721
epoch: 4398
Epoch 4398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4398With loss 0.1267430099331721
epoch: 4399
Epoch 4399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4399With loss 0.1267430099331721
epoch: 4400
Epoch 4400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4400With loss 0.1267430099331721
epoch: 4401
Epoch 4401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4401With loss 0.1267430099331721
epoch: 4402
Epoch 4402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4402With loss 0.1267430099331721
epoch: 4403
Epoch 4403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4403With loss 0.1267430099331721
epoch: 4404
Epoch 4404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4404With loss 0.1267430099331721
epoch: 4405
Epoch 4405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4405With loss 0.1267430099331721
epoch: 4406
Epoch 4406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4406With loss 0.1267430099331721
epoch: 4407
Epoch 4407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4407With loss 0.1267430099331721
epoch: 4408
Epoch 4408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4408With loss 0.1267430099331721
epoch: 4409
Epoch 4409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4409With loss 0.1267430099331721
epoch: 4410
Epoch 4410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4410With loss 0.1267430099331721
epoch: 4411
Epoch 4411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4411With loss 0.1267430099331721
epoch: 4412
Epoch 4412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4412With loss 0.1267430099331721
epoch: 4413
Epoch 4413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4413With loss 0.1267430099331721
epoch: 4414
Epoch 4414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4414With loss 0.1267430099331721
epoch: 4415
Epoch 4415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4415With loss 0.1267430099331721
epoch: 4416
Epoch 4416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4416With loss 0.1267430099331721
epoch: 4417
Epoch 4417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4417With loss 0.1267430099331721
epoch: 4418
Epoch 4418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4418With loss 0.1267430099331721
epoch: 4419
Epoch 4419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4419With loss 0.1267430099331721
epoch: 4420
Epoch 4420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4420With loss 0.1267430099331721
epoch: 4421
Epoch 4421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4421With loss 0.1267430099331721
epoch: 4422
Epoch 4422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4422With loss 0.1267430099331721
epoch: 4423
Epoch 4423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4423With loss 0.1267430099331721
epoch: 4424
Epoch 4424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4424With loss 0.1267430099331721
epoch: 4425
Epoch 4425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4425With loss 0.1267430099331721
epoch: 4426
Epoch 4426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4426With loss 0.1267430099331721
epoch: 4427
Epoch 4427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4427With loss 0.1267430099331721
epoch: 4428
Epoch 4428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4428With loss 0.1267430099331721
epoch: 4429
Epoch 4429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4429With loss 0.1267430099331721
epoch: 4430
Epoch 4430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4430With loss 0.1267430099331721
epoch: 4431
Epoch 4431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4431With loss 0.1267430099331721
epoch: 4432
Epoch 4432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4432With loss 0.1267430099331721
epoch: 4433
Epoch 4433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4433With loss 0.1267430099331721
epoch: 4434
Epoch 4434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4434With loss 0.1267430099331721
epoch: 4435
Epoch 4435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4435With loss 0.1267430099331721
epoch: 4436
Epoch 4436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4436With loss 0.1267430099331721
epoch: 4437
Epoch 4437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4437With loss 0.1267430099331721
epoch: 4438
Epoch 4438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4438With loss 0.1267430099331721
epoch: 4439
Epoch 4439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4439With loss 0.1267430099331721
epoch: 4440
Epoch 4440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4440With loss 0.1267430099331721
epoch: 4441
Epoch 4441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4441With loss 0.1267430099331721
epoch: 4442
Epoch 4442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4442With loss 0.1267430099331721
epoch: 4443
Epoch 4443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4443With loss 0.1267430099331721
epoch: 4444
Epoch 4444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4444With loss 0.1267430099331721
epoch: 4445
Epoch 4445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4445With loss 0.1267430099331721
epoch: 4446
Epoch 4446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4446With loss 0.1267430099331721
epoch: 4447
Epoch 4447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4447With loss 0.1267430099331721
epoch: 4448
Epoch 4448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4448With loss 0.1267430099331721
epoch: 4449
Epoch 4449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4449With loss 0.1267430099331721
epoch: 4450
Epoch 4450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4450With loss 0.1267430099331721
epoch: 4451
Epoch 4451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4451With loss 0.1267430099331721
epoch: 4452
Epoch 4452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4452With loss 0.1267430099331721
epoch: 4453
Epoch 4453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4453With loss 0.1267430099331721
epoch: 4454
Epoch 4454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4454With loss 0.1267430099331721
epoch: 4455
Epoch 4455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4455With loss 0.1267430099331721
epoch: 4456
Epoch 4456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4456With loss 0.1267430099331721
epoch: 4457
Epoch 4457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4457With loss 0.1267430099331721
epoch: 4458
Epoch 4458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4458With loss 0.1267430099331721
epoch: 4459
Epoch 4459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4459With loss 0.1267430099331721
epoch: 4460
Epoch 4460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4460With loss 0.1267430099331721
epoch: 4461
Epoch 4461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4461With loss 0.1267430099331721
epoch: 4462
Epoch 4462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4462With loss 0.1267430099331721
epoch: 4463
Epoch 4463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4463With loss 0.1267430099331721
epoch: 4464
Epoch 4464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4464With loss 0.1267430099331721
epoch: 4465
Epoch 4465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4465With loss 0.1267430099331721
epoch: 4466
Epoch 4466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4466With loss 0.1267430099331721
epoch: 4467
Epoch 4467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4467With loss 0.1267430099331721
epoch: 4468
Epoch 4468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4468With loss 0.1267430099331721
epoch: 4469
Epoch 4469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4469With loss 0.1267430099331721
epoch: 4470
Epoch 4470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4470With loss 0.1267430099331721
epoch: 4471
Epoch 4471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4471With loss 0.1267430099331721
epoch: 4472
Epoch 4472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4472With loss 0.1267430099331721
epoch: 4473
Epoch 4473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4473With loss 0.1267430099331721
epoch: 4474
Epoch 4474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4474With loss 0.1267430099331721
epoch: 4475
Epoch 4475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4475With loss 0.1267430099331721
epoch: 4476
Epoch 4476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4476With loss 0.1267430099331721
epoch: 4477
Epoch 4477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4477With loss 0.1267430099331721
epoch: 4478
Epoch 4478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4478With loss 0.1267430099331721
epoch: 4479
Epoch 4479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4479With loss 0.1267430099331721
epoch: 4480
Epoch 4480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4480With loss 0.1267430099331721
epoch: 4481
Epoch 4481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4481With loss 0.1267430099331721
epoch: 4482
Epoch 4482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4482With loss 0.1267430099331721
epoch: 4483
Epoch 4483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4483With loss 0.1267430099331721
epoch: 4484
Epoch 4484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4484With loss 0.1267430099331721
epoch: 4485
Epoch 4485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4485With loss 0.1267430099331721
epoch: 4486
Epoch 4486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4486With loss 0.1267430099331721
epoch: 4487
Epoch 4487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4487With loss 0.1267430099331721
epoch: 4488
Epoch 4488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4488With loss 0.1267430099331721
epoch: 4489
Epoch 4489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4489With loss 0.1267430099331721
epoch: 4490
Epoch 4490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4490With loss 0.1267430099331721
epoch: 4491
Epoch 4491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4491With loss 0.1267430099331721
epoch: 4492
Epoch 4492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4492With loss 0.1267430099331721
epoch: 4493
Epoch 4493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4493With loss 0.1267430099331721
epoch: 4494
Epoch 4494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4494With loss 0.1267430099331721
epoch: 4495
Epoch 4495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4495With loss 0.1267430099331721
epoch: 4496
Epoch 4496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4496With loss 0.1267430099331721
epoch: 4497
Epoch 4497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4497With loss 0.1267430099331721
epoch: 4498
Epoch 4498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4498With loss 0.1267430099331721
epoch: 4499
Epoch 4499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4499With loss 0.1267430099331721
epoch: 4500
Epoch 4500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4500With loss 0.1267430099331721
epoch: 4501
Epoch 4501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4501With loss 0.1267430099331721
epoch: 4502
Epoch 4502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4502With loss 0.1267430099331721
epoch: 4503
Epoch 4503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4503With loss 0.1267430099331721
epoch: 4504
Epoch 4504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4504With loss 0.1267430099331721
epoch: 4505
Epoch 4505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4505With loss 0.1267430099331721
epoch: 4506
Epoch 4506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4506With loss 0.1267430099331721
epoch: 4507
Epoch 4507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4507With loss 0.1267430099331721
epoch: 4508
Epoch 4508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4508With loss 0.1267430099331721
epoch: 4509
Epoch 4509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4509With loss 0.1267430099331721
epoch: 4510
Epoch 4510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4510With loss 0.1267430099331721
epoch: 4511
Epoch 4511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4511With loss 0.1267430099331721
epoch: 4512
Epoch 4512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4512With loss 0.1267430099331721
epoch: 4513
Epoch 4513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4513With loss 0.1267430099331721
epoch: 4514
Epoch 4514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4514With loss 0.1267430099331721
epoch: 4515
Epoch 4515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4515With loss 0.1267430099331721
epoch: 4516
Epoch 4516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4516With loss 0.1267430099331721
epoch: 4517
Epoch 4517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4517With loss 0.1267430099331721
epoch: 4518
Epoch 4518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4518With loss 0.1267430099331721
epoch: 4519
Epoch 4519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4519With loss 0.1267430099331721
epoch: 4520
Epoch 4520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4520With loss 0.1267430099331721
epoch: 4521
Epoch 4521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4521With loss 0.1267430099331721
epoch: 4522
Epoch 4522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4522With loss 0.1267430099331721
epoch: 4523
Epoch 4523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4523With loss 0.1267430099331721
epoch: 4524
Epoch 4524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4524With loss 0.1267430099331721
epoch: 4525
Epoch 4525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4525With loss 0.1267430099331721
epoch: 4526
Epoch 4526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4526With loss 0.1267430099331721
epoch: 4527
Epoch 4527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4527With loss 0.1267430099331721
epoch: 4528
Epoch 4528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4528With loss 0.1267430099331721
epoch: 4529
Epoch 4529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4529With loss 0.1267430099331721
epoch: 4530
Epoch 4530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4530With loss 0.1267430099331721
epoch: 4531
Epoch 4531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4531With loss 0.1267430099331721
epoch: 4532
Epoch 4532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4532With loss 0.1267430099331721
epoch: 4533
Epoch 4533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4533With loss 0.1267430099331721
epoch: 4534
Epoch 4534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4534With loss 0.1267430099331721
epoch: 4535
Epoch 4535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4535With loss 0.1267430099331721
epoch: 4536
Epoch 4536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4536With loss 0.1267430099331721
epoch: 4537
Epoch 4537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4537With loss 0.1267430099331721
epoch: 4538
Epoch 4538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4538With loss 0.1267430099331721
epoch: 4539
Epoch 4539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4539With loss 0.1267430099331721
epoch: 4540
Epoch 4540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4540With loss 0.1267430099331721
epoch: 4541
Epoch 4541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4541With loss 0.1267430099331721
epoch: 4542
Epoch 4542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4542With loss 0.1267430099331721
epoch: 4543
Epoch 4543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4543With loss 0.1267430099331721
epoch: 4544
Epoch 4544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4544With loss 0.1267430099331721
epoch: 4545
Epoch 4545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4545With loss 0.1267430099331721
epoch: 4546
Epoch 4546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4546With loss 0.1267430099331721
epoch: 4547
Epoch 4547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4547With loss 0.1267430099331721
epoch: 4548
Epoch 4548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4548With loss 0.1267430099331721
epoch: 4549
Epoch 4549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4549With loss 0.1267430099331721
epoch: 4550
Epoch 4550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4550With loss 0.1267430099331721
epoch: 4551
Epoch 4551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4551With loss 0.1267430099331721
epoch: 4552
Epoch 4552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4552With loss 0.1267430099331721
epoch: 4553
Epoch 4553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4553With loss 0.1267430099331721
epoch: 4554
Epoch 4554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4554With loss 0.1267430099331721
epoch: 4555
Epoch 4555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4555With loss 0.1267430099331721
epoch: 4556
Epoch 4556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4556With loss 0.1267430099331721
epoch: 4557
Epoch 4557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4557With loss 0.1267430099331721
epoch: 4558
Epoch 4558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4558With loss 0.1267430099331721
epoch: 4559
Epoch 4559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4559With loss 0.1267430099331721
epoch: 4560
Epoch 4560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4560With loss 0.1267430099331721
epoch: 4561
Epoch 4561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4561With loss 0.1267430099331721
epoch: 4562
Epoch 4562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4562With loss 0.1267430099331721
epoch: 4563
Epoch 4563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4563With loss 0.1267430099331721
epoch: 4564
Epoch 4564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4564With loss 0.1267430099331721
epoch: 4565
Epoch 4565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4565With loss 0.1267430099331721
epoch: 4566
Epoch 4566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4566With loss 0.1267430099331721
epoch: 4567
Epoch 4567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4567With loss 0.1267430099331721
epoch: 4568
Epoch 4568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4568With loss 0.1267430099331721
epoch: 4569
Epoch 4569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4569With loss 0.1267430099331721
epoch: 4570
Epoch 4570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4570With loss 0.1267430099331721
epoch: 4571
Epoch 4571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4571With loss 0.1267430099331721
epoch: 4572
Epoch 4572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4572With loss 0.1267430099331721
epoch: 4573
Epoch 4573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4573With loss 0.1267430099331721
epoch: 4574
Epoch 4574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4574With loss 0.1267430099331721
epoch: 4575
Epoch 4575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4575With loss 0.1267430099331721
epoch: 4576
Epoch 4576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4576With loss 0.1267430099331721
epoch: 4577
Epoch 4577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4577With loss 0.1267430099331721
epoch: 4578
Epoch 4578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4578With loss 0.1267430099331721
epoch: 4579
Epoch 4579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4579With loss 0.1267430099331721
epoch: 4580
Epoch 4580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4580With loss 0.1267430099331721
epoch: 4581
Epoch 4581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4581With loss 0.1267430099331721
epoch: 4582
Epoch 4582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4582With loss 0.1267430099331721
epoch: 4583
Epoch 4583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4583With loss 0.1267430099331721
epoch: 4584
Epoch 4584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4584With loss 0.1267430099331721
epoch: 4585
Epoch 4585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4585With loss 0.1267430099331721
epoch: 4586
Epoch 4586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4586With loss 0.1267430099331721
epoch: 4587
Epoch 4587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4587With loss 0.1267430099331721
epoch: 4588
Epoch 4588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4588With loss 0.1267430099331721
epoch: 4589
Epoch 4589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4589With loss 0.1267430099331721
epoch: 4590
Epoch 4590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4590With loss 0.1267430099331721
epoch: 4591
Epoch 4591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4591With loss 0.1267430099331721
epoch: 4592
Epoch 4592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4592With loss 0.1267430099331721
epoch: 4593
Epoch 4593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4593With loss 0.1267430099331721
epoch: 4594
Epoch 4594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4594With loss 0.1267430099331721
epoch: 4595
Epoch 4595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4595With loss 0.1267430099331721
epoch: 4596
Epoch 4596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4596With loss 0.1267430099331721
epoch: 4597
Epoch 4597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4597With loss 0.1267430099331721
epoch: 4598
Epoch 4598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4598With loss 0.1267430099331721
epoch: 4599
Epoch 4599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4599With loss 0.1267430099331721
epoch: 4600
Epoch 4600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4600With loss 0.1267430099331721
epoch: 4601
Epoch 4601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4601With loss 0.1267430099331721
epoch: 4602
Epoch 4602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4602With loss 0.1267430099331721
epoch: 4603
Epoch 4603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4603With loss 0.1267430099331721
epoch: 4604
Epoch 4604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4604With loss 0.1267430099331721
epoch: 4605
Epoch 4605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4605With loss 0.1267430099331721
epoch: 4606
Epoch 4606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4606With loss 0.1267430099331721
epoch: 4607
Epoch 4607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4607With loss 0.1267430099331721
epoch: 4608
Epoch 4608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4608With loss 0.1267430099331721
epoch: 4609
Epoch 4609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4609With loss 0.1267430099331721
epoch: 4610
Epoch 4610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4610With loss 0.1267430099331721
epoch: 4611
Epoch 4611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4611With loss 0.1267430099331721
epoch: 4612
Epoch 4612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4612With loss 0.1267430099331721
epoch: 4613
Epoch 4613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4613With loss 0.1267430099331721
epoch: 4614
Epoch 4614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4614With loss 0.1267430099331721
epoch: 4615
Epoch 4615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4615With loss 0.1267430099331721
epoch: 4616
Epoch 4616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4616With loss 0.1267430099331721
epoch: 4617
Epoch 4617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4617With loss 0.1267430099331721
epoch: 4618
Epoch 4618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4618With loss 0.1267430099331721
epoch: 4619
Epoch 4619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4619With loss 0.1267430099331721
epoch: 4620
Epoch 4620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4620With loss 0.1267430099331721
epoch: 4621
Epoch 4621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4621With loss 0.1267430099331721
epoch: 4622
Epoch 4622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4622With loss 0.1267430099331721
epoch: 4623
Epoch 4623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4623With loss 0.1267430099331721
epoch: 4624
Epoch 4624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4624With loss 0.1267430099331721
epoch: 4625
Epoch 4625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4625With loss 0.1267430099331721
epoch: 4626
Epoch 4626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4626With loss 0.1267430099331721
epoch: 4627
Epoch 4627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4627With loss 0.1267430099331721
epoch: 4628
Epoch 4628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4628With loss 0.1267430099331721
epoch: 4629
Epoch 4629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4629With loss 0.1267430099331721
epoch: 4630
Epoch 4630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4630With loss 0.1267430099331721
epoch: 4631
Epoch 4631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4631With loss 0.1267430099331721
epoch: 4632
Epoch 4632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4632With loss 0.1267430099331721
epoch: 4633
Epoch 4633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4633With loss 0.1267430099331721
epoch: 4634
Epoch 4634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4634With loss 0.1267430099331721
epoch: 4635
Epoch 4635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4635With loss 0.1267430099331721
epoch: 4636
Epoch 4636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4636With loss 0.1267430099331721
epoch: 4637
Epoch 4637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4637With loss 0.1267430099331721
epoch: 4638
Epoch 4638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4638With loss 0.1267430099331721
epoch: 4639
Epoch 4639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4639With loss 0.1267430099331721
epoch: 4640
Epoch 4640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4640With loss 0.1267430099331721
epoch: 4641
Epoch 4641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4641With loss 0.1267430099331721
epoch: 4642
Epoch 4642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4642With loss 0.1267430099331721
epoch: 4643
Epoch 4643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4643With loss 0.1267430099331721
epoch: 4644
Epoch 4644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4644With loss 0.1267430099331721
epoch: 4645
Epoch 4645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4645With loss 0.1267430099331721
epoch: 4646
Epoch 4646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4646With loss 0.1267430099331721
epoch: 4647
Epoch 4647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4647With loss 0.1267430099331721
epoch: 4648
Epoch 4648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4648With loss 0.1267430099331721
epoch: 4649
Epoch 4649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4649With loss 0.1267430099331721
epoch: 4650
Epoch 4650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4650With loss 0.1267430099331721
epoch: 4651
Epoch 4651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4651With loss 0.1267430099331721
epoch: 4652
Epoch 4652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4652With loss 0.1267430099331721
epoch: 4653
Epoch 4653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4653With loss 0.1267430099331721
epoch: 4654
Epoch 4654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4654With loss 0.1267430099331721
epoch: 4655
Epoch 4655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4655With loss 0.1267430099331721
epoch: 4656
Epoch 4656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4656With loss 0.1267430099331721
epoch: 4657
Epoch 4657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4657With loss 0.1267430099331721
epoch: 4658
Epoch 4658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4658With loss 0.1267430099331721
epoch: 4659
Epoch 4659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4659With loss 0.1267430099331721
epoch: 4660
Epoch 4660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4660With loss 0.1267430099331721
epoch: 4661
Epoch 4661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4661With loss 0.1267430099331721
epoch: 4662
Epoch 4662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4662With loss 0.1267430099331721
epoch: 4663
Epoch 4663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4663With loss 0.1267430099331721
epoch: 4664
Epoch 4664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4664With loss 0.1267430099331721
epoch: 4665
Epoch 4665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4665With loss 0.1267430099331721
epoch: 4666
Epoch 4666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4666With loss 0.1267430099331721
epoch: 4667
Epoch 4667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4667With loss 0.1267430099331721
epoch: 4668
Epoch 4668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4668With loss 0.1267430099331721
epoch: 4669
Epoch 4669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4669With loss 0.1267430099331721
epoch: 4670
Epoch 4670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4670With loss 0.1267430099331721
epoch: 4671
Epoch 4671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4671With loss 0.1267430099331721
epoch: 4672
Epoch 4672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4672With loss 0.1267430099331721
epoch: 4673
Epoch 4673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4673With loss 0.1267430099331721
epoch: 4674
Epoch 4674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4674With loss 0.1267430099331721
epoch: 4675
Epoch 4675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4675With loss 0.1267430099331721
epoch: 4676
Epoch 4676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4676With loss 0.1267430099331721
epoch: 4677
Epoch 4677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4677With loss 0.1267430099331721
epoch: 4678
Epoch 4678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4678With loss 0.1267430099331721
epoch: 4679
Epoch 4679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4679With loss 0.1267430099331721
epoch: 4680
Epoch 4680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4680With loss 0.1267430099331721
epoch: 4681
Epoch 4681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4681With loss 0.1267430099331721
epoch: 4682
Epoch 4682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4682With loss 0.1267430099331721
epoch: 4683
Epoch 4683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4683With loss 0.1267430099331721
epoch: 4684
Epoch 4684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4684With loss 0.1267430099331721
epoch: 4685
Epoch 4685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4685With loss 0.1267430099331721
epoch: 4686
Epoch 4686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4686With loss 0.1267430099331721
epoch: 4687
Epoch 4687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4687With loss 0.1267430099331721
epoch: 4688
Epoch 4688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4688With loss 0.1267430099331721
epoch: 4689
Epoch 4689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4689With loss 0.1267430099331721
epoch: 4690
Epoch 4690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4690With loss 0.1267430099331721
epoch: 4691
Epoch 4691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4691With loss 0.1267430099331721
epoch: 4692
Epoch 4692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4692With loss 0.1267430099331721
epoch: 4693
Epoch 4693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4693With loss 0.1267430099331721
epoch: 4694
Epoch 4694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4694With loss 0.1267430099331721
epoch: 4695
Epoch 4695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4695With loss 0.1267430099331721
epoch: 4696
Epoch 4696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4696With loss 0.1267430099331721
epoch: 4697
Epoch 4697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4697With loss 0.1267430099331721
epoch: 4698
Epoch 4698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4698With loss 0.1267430099331721
epoch: 4699
Epoch 4699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4699With loss 0.1267430099331721
epoch: 4700
Epoch 4700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4700With loss 0.1267430099331721
epoch: 4701
Epoch 4701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4701With loss 0.1267430099331721
epoch: 4702
Epoch 4702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4702With loss 0.1267430099331721
epoch: 4703
Epoch 4703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4703With loss 0.1267430099331721
epoch: 4704
Epoch 4704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4704With loss 0.1267430099331721
epoch: 4705
Epoch 4705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4705With loss 0.1267430099331721
epoch: 4706
Epoch 4706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4706With loss 0.1267430099331721
epoch: 4707
Epoch 4707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4707With loss 0.1267430099331721
epoch: 4708
Epoch 4708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4708With loss 0.1267430099331721
epoch: 4709
Epoch 4709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4709With loss 0.1267430099331721
epoch: 4710
Epoch 4710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4710With loss 0.1267430099331721
epoch: 4711
Epoch 4711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4711With loss 0.1267430099331721
epoch: 4712
Epoch 4712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4712With loss 0.1267430099331721
epoch: 4713
Epoch 4713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4713With loss 0.1267430099331721
epoch: 4714
Epoch 4714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4714With loss 0.1267430099331721
epoch: 4715
Epoch 4715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4715With loss 0.1267430099331721
epoch: 4716
Epoch 4716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4716With loss 0.1267430099331721
epoch: 4717
Epoch 4717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4717With loss 0.1267430099331721
epoch: 4718
Epoch 4718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4718With loss 0.1267430099331721
epoch: 4719
Epoch 4719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4719With loss 0.1267430099331721
epoch: 4720
Epoch 4720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4720With loss 0.1267430099331721
epoch: 4721
Epoch 4721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4721With loss 0.1267430099331721
epoch: 4722
Epoch 4722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4722With loss 0.1267430099331721
epoch: 4723
Epoch 4723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4723With loss 0.1267430099331721
epoch: 4724
Epoch 4724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4724With loss 0.1267430099331721
epoch: 4725
Epoch 4725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4725With loss 0.1267430099331721
epoch: 4726
Epoch 4726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4726With loss 0.1267430099331721
epoch: 4727
Epoch 4727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4727With loss 0.1267430099331721
epoch: 4728
Epoch 4728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4728With loss 0.1267430099331721
epoch: 4729
Epoch 4729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4729With loss 0.1267430099331721
epoch: 4730
Epoch 4730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4730With loss 0.1267430099331721
epoch: 4731
Epoch 4731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4731With loss 0.1267430099331721
epoch: 4732
Epoch 4732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4732With loss 0.1267430099331721
epoch: 4733
Epoch 4733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4733With loss 0.1267430099331721
epoch: 4734
Epoch 4734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4734With loss 0.1267430099331721
epoch: 4735
Epoch 4735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4735With loss 0.1267430099331721
epoch: 4736
Epoch 4736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4736With loss 0.1267430099331721
epoch: 4737
Epoch 4737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4737With loss 0.1267430099331721
epoch: 4738
Epoch 4738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4738With loss 0.1267430099331721
epoch: 4739
Epoch 4739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4739With loss 0.1267430099331721
epoch: 4740
Epoch 4740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4740With loss 0.1267430099331721
epoch: 4741
Epoch 4741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4741With loss 0.1267430099331721
epoch: 4742
Epoch 4742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4742With loss 0.1267430099331721
epoch: 4743
Epoch 4743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4743With loss 0.1267430099331721
epoch: 4744
Epoch 4744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4744With loss 0.1267430099331721
epoch: 4745
Epoch 4745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4745With loss 0.1267430099331721
epoch: 4746
Epoch 4746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4746With loss 0.1267430099331721
epoch: 4747
Epoch 4747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4747With loss 0.1267430099331721
epoch: 4748
Epoch 4748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4748With loss 0.1267430099331721
epoch: 4749
Epoch 4749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4749With loss 0.1267430099331721
epoch: 4750
Epoch 4750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4750With loss 0.1267430099331721
epoch: 4751
Epoch 4751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4751With loss 0.1267430099331721
epoch: 4752
Epoch 4752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4752With loss 0.1267430099331721
epoch: 4753
Epoch 4753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4753With loss 0.1267430099331721
epoch: 4754
Epoch 4754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4754With loss 0.1267430099331721
epoch: 4755
Epoch 4755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4755With loss 0.1267430099331721
epoch: 4756
Epoch 4756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4756With loss 0.1267430099331721
epoch: 4757
Epoch 4757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4757With loss 0.1267430099331721
epoch: 4758
Epoch 4758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4758With loss 0.1267430099331721
epoch: 4759
Epoch 4759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4759With loss 0.1267430099331721
epoch: 4760
Epoch 4760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4760With loss 0.1267430099331721
epoch: 4761
Epoch 4761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4761With loss 0.1267430099331721
epoch: 4762
Epoch 4762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4762With loss 0.1267430099331721
epoch: 4763
Epoch 4763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4763With loss 0.1267430099331721
epoch: 4764
Epoch 4764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4764With loss 0.1267430099331721
epoch: 4765
Epoch 4765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4765With loss 0.1267430099331721
epoch: 4766
Epoch 4766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4766With loss 0.1267430099331721
epoch: 4767
Epoch 4767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4767With loss 0.1267430099331721
epoch: 4768
Epoch 4768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4768With loss 0.1267430099331721
epoch: 4769
Epoch 4769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4769With loss 0.1267430099331721
epoch: 4770
Epoch 4770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4770With loss 0.1267430099331721
epoch: 4771
Epoch 4771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4771With loss 0.1267430099331721
epoch: 4772
Epoch 4772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4772With loss 0.1267430099331721
epoch: 4773
Epoch 4773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4773With loss 0.1267430099331721
epoch: 4774
Epoch 4774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4774With loss 0.1267430099331721
epoch: 4775
Epoch 4775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4775With loss 0.1267430099331721
epoch: 4776
Epoch 4776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4776With loss 0.1267430099331721
epoch: 4777
Epoch 4777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4777With loss 0.1267430099331721
epoch: 4778
Epoch 4778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4778With loss 0.1267430099331721
epoch: 4779
Epoch 4779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4779With loss 0.1267430099331721
epoch: 4780
Epoch 4780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4780With loss 0.1267430099331721
epoch: 4781
Epoch 4781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4781With loss 0.1267430099331721
epoch: 4782
Epoch 4782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4782With loss 0.1267430099331721
epoch: 4783
Epoch 4783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4783With loss 0.1267430099331721
epoch: 4784
Epoch 4784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4784With loss 0.1267430099331721
epoch: 4785
Epoch 4785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4785With loss 0.1267430099331721
epoch: 4786
Epoch 4786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4786With loss 0.1267430099331721
epoch: 4787
Epoch 4787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4787With loss 0.1267430099331721
epoch: 4788
Epoch 4788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4788With loss 0.1267430099331721
epoch: 4789
Epoch 4789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4789With loss 0.1267430099331721
epoch: 4790
Epoch 4790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4790With loss 0.1267430099331721
epoch: 4791
Epoch 4791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4791With loss 0.1267430099331721
epoch: 4792
Epoch 4792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4792With loss 0.1267430099331721
epoch: 4793
Epoch 4793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4793With loss 0.1267430099331721
epoch: 4794
Epoch 4794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4794With loss 0.1267430099331721
epoch: 4795
Epoch 4795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4795With loss 0.1267430099331721
epoch: 4796
Epoch 4796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4796With loss 0.1267430099331721
epoch: 4797
Epoch 4797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4797With loss 0.1267430099331721
epoch: 4798
Epoch 4798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4798With loss 0.1267430099331721
epoch: 4799
Epoch 4799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4799With loss 0.1267430099331721
epoch: 4800
Epoch 4800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4800With loss 0.1267430099331721
epoch: 4801
Epoch 4801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4801With loss 0.1267430099331721
epoch: 4802
Epoch 4802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4802With loss 0.1267430099331721
epoch: 4803
Epoch 4803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4803With loss 0.1267430099331721
epoch: 4804
Epoch 4804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4804With loss 0.1267430099331721
epoch: 4805
Epoch 4805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4805With loss 0.1267430099331721
epoch: 4806
Epoch 4806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4806With loss 0.1267430099331721
epoch: 4807
Epoch 4807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4807With loss 0.1267430099331721
epoch: 4808
Epoch 4808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4808With loss 0.1267430099331721
epoch: 4809
Epoch 4809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4809With loss 0.1267430099331721
epoch: 4810
Epoch 4810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4810With loss 0.1267430099331721
epoch: 4811
Epoch 4811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4811With loss 0.1267430099331721
epoch: 4812
Epoch 4812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4812With loss 0.1267430099331721
epoch: 4813
Epoch 4813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4813With loss 0.1267430099331721
epoch: 4814
Epoch 4814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4814With loss 0.1267430099331721
epoch: 4815
Epoch 4815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4815With loss 0.1267430099331721
epoch: 4816
Epoch 4816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4816With loss 0.1267430099331721
epoch: 4817
Epoch 4817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4817With loss 0.1267430099331721
epoch: 4818
Epoch 4818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4818With loss 0.1267430099331721
epoch: 4819
Epoch 4819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4819With loss 0.1267430099331721
epoch: 4820
Epoch 4820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4820With loss 0.1267430099331721
epoch: 4821
Epoch 4821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4821With loss 0.1267430099331721
epoch: 4822
Epoch 4822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4822With loss 0.1267430099331721
epoch: 4823
Epoch 4823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4823With loss 0.1267430099331721
epoch: 4824
Epoch 4824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4824With loss 0.1267430099331721
epoch: 4825
Epoch 4825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4825With loss 0.1267430099331721
epoch: 4826
Epoch 4826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4826With loss 0.1267430099331721
epoch: 4827
Epoch 4827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4827With loss 0.1267430099331721
epoch: 4828
Epoch 4828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4828With loss 0.1267430099331721
epoch: 4829
Epoch 4829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4829With loss 0.1267430099331721
epoch: 4830
Epoch 4830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4830With loss 0.1267430099331721
epoch: 4831
Epoch 4831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4831With loss 0.1267430099331721
epoch: 4832
Epoch 4832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4832With loss 0.1267430099331721
epoch: 4833
Epoch 4833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4833With loss 0.1267430099331721
epoch: 4834
Epoch 4834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4834With loss 0.1267430099331721
epoch: 4835
Epoch 4835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4835With loss 0.1267430099331721
epoch: 4836
Epoch 4836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4836With loss 0.1267430099331721
epoch: 4837
Epoch 4837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4837With loss 0.1267430099331721
epoch: 4838
Epoch 4838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4838With loss 0.1267430099331721
epoch: 4839
Epoch 4839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4839With loss 0.1267430099331721
epoch: 4840
Epoch 4840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4840With loss 0.1267430099331721
epoch: 4841
Epoch 4841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4841With loss 0.1267430099331721
epoch: 4842
Epoch 4842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4842With loss 0.1267430099331721
epoch: 4843
Epoch 4843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4843With loss 0.1267430099331721
epoch: 4844
Epoch 4844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4844With loss 0.1267430099331721
epoch: 4845
Epoch 4845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4845With loss 0.1267430099331721
epoch: 4846
Epoch 4846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4846With loss 0.1267430099331721
epoch: 4847
Epoch 4847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4847With loss 0.1267430099331721
epoch: 4848
Epoch 4848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4848With loss 0.1267430099331721
epoch: 4849
Epoch 4849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4849With loss 0.1267430099331721
epoch: 4850
Epoch 4850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4850With loss 0.1267430099331721
epoch: 4851
Epoch 4851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4851With loss 0.1267430099331721
epoch: 4852
Epoch 4852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4852With loss 0.1267430099331721
epoch: 4853
Epoch 4853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4853With loss 0.1267430099331721
epoch: 4854
Epoch 4854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4854With loss 0.1267430099331721
epoch: 4855
Epoch 4855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4855With loss 0.1267430099331721
epoch: 4856
Epoch 4856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4856With loss 0.1267430099331721
epoch: 4857
Epoch 4857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4857With loss 0.1267430099331721
epoch: 4858
Epoch 4858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4858With loss 0.1267430099331721
epoch: 4859
Epoch 4859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4859With loss 0.1267430099331721
epoch: 4860
Epoch 4860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4860With loss 0.1267430099331721
epoch: 4861
Epoch 4861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4861With loss 0.1267430099331721
epoch: 4862
Epoch 4862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4862With loss 0.1267430099331721
epoch: 4863
Epoch 4863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4863With loss 0.1267430099331721
epoch: 4864
Epoch 4864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4864With loss 0.1267430099331721
epoch: 4865
Epoch 4865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4865With loss 0.1267430099331721
epoch: 4866
Epoch 4866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4866With loss 0.1267430099331721
epoch: 4867
Epoch 4867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4867With loss 0.1267430099331721
epoch: 4868
Epoch 4868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4868With loss 0.1267430099331721
epoch: 4869
Epoch 4869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4869With loss 0.1267430099331721
epoch: 4870
Epoch 4870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4870With loss 0.1267430099331721
epoch: 4871
Epoch 4871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4871With loss 0.1267430099331721
epoch: 4872
Epoch 4872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4872With loss 0.1267430099331721
epoch: 4873
Epoch 4873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4873With loss 0.1267430099331721
epoch: 4874
Epoch 4874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4874With loss 0.1267430099331721
epoch: 4875
Epoch 4875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4875With loss 0.1267430099331721
epoch: 4876
Epoch 4876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4876With loss 0.1267430099331721
epoch: 4877
Epoch 4877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4877With loss 0.1267430099331721
epoch: 4878
Epoch 4878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4878With loss 0.1267430099331721
epoch: 4879
Epoch 4879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4879With loss 0.1267430099331721
epoch: 4880
Epoch 4880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4880With loss 0.1267430099331721
epoch: 4881
Epoch 4881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4881With loss 0.1267430099331721
epoch: 4882
Epoch 4882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4882With loss 0.1267430099331721
epoch: 4883
Epoch 4883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4883With loss 0.1267430099331721
epoch: 4884
Epoch 4884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4884With loss 0.1267430099331721
epoch: 4885
Epoch 4885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4885With loss 0.1267430099331721
epoch: 4886
Epoch 4886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4886With loss 0.1267430099331721
epoch: 4887
Epoch 4887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4887With loss 0.1267430099331721
epoch: 4888
Epoch 4888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4888With loss 0.1267430099331721
epoch: 4889
Epoch 4889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4889With loss 0.1267430099331721
epoch: 4890
Epoch 4890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4890With loss 0.1267430099331721
epoch: 4891
Epoch 4891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4891With loss 0.1267430099331721
epoch: 4892
Epoch 4892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4892With loss 0.1267430099331721
epoch: 4893
Epoch 4893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4893With loss 0.1267430099331721
epoch: 4894
Epoch 4894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4894With loss 0.1267430099331721
epoch: 4895
Epoch 4895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4895With loss 0.1267430099331721
epoch: 4896
Epoch 4896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4896With loss 0.1267430099331721
epoch: 4897
Epoch 4897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4897With loss 0.1267430099331721
epoch: 4898
Epoch 4898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4898With loss 0.1267430099331721
epoch: 4899
Epoch 4899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4899With loss 0.1267430099331721
epoch: 4900
Epoch 4900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4900With loss 0.1267430099331721
epoch: 4901
Epoch 4901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4901With loss 0.1267430099331721
epoch: 4902
Epoch 4902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4902With loss 0.1267430099331721
epoch: 4903
Epoch 4903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4903With loss 0.1267430099331721
epoch: 4904
Epoch 4904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4904With loss 0.1267430099331721
epoch: 4905
Epoch 4905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4905With loss 0.1267430099331721
epoch: 4906
Epoch 4906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4906With loss 0.1267430099331721
epoch: 4907
Epoch 4907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4907With loss 0.1267430099331721
epoch: 4908
Epoch 4908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4908With loss 0.1267430099331721
epoch: 4909
Epoch 4909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4909With loss 0.1267430099331721
epoch: 4910
Epoch 4910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4910With loss 0.1267430099331721
epoch: 4911
Epoch 4911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4911With loss 0.1267430099331721
epoch: 4912
Epoch 4912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4912With loss 0.1267430099331721
epoch: 4913
Epoch 4913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4913With loss 0.1267430099331721
epoch: 4914
Epoch 4914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4914With loss 0.1267430099331721
epoch: 4915
Epoch 4915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4915With loss 0.1267430099331721
epoch: 4916
Epoch 4916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4916With loss 0.1267430099331721
epoch: 4917
Epoch 4917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4917With loss 0.1267430099331721
epoch: 4918
Epoch 4918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4918With loss 0.1267430099331721
epoch: 4919
Epoch 4919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4919With loss 0.1267430099331721
epoch: 4920
Epoch 4920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4920With loss 0.1267430099331721
epoch: 4921
Epoch 4921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4921With loss 0.1267430099331721
epoch: 4922
Epoch 4922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4922With loss 0.1267430099331721
epoch: 4923
Epoch 4923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4923With loss 0.1267430099331721
epoch: 4924
Epoch 4924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4924With loss 0.1267430099331721
epoch: 4925
Epoch 4925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4925With loss 0.1267430099331721
epoch: 4926
Epoch 4926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4926With loss 0.1267430099331721
epoch: 4927
Epoch 4927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4927With loss 0.1267430099331721
epoch: 4928
Epoch 4928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4928With loss 0.1267430099331721
epoch: 4929
Epoch 4929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4929With loss 0.1267430099331721
epoch: 4930
Epoch 4930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4930With loss 0.1267430099331721
epoch: 4931
Epoch 4931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4931With loss 0.1267430099331721
epoch: 4932
Epoch 4932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4932With loss 0.1267430099331721
epoch: 4933
Epoch 4933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4933With loss 0.1267430099331721
epoch: 4934
Epoch 4934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4934With loss 0.1267430099331721
epoch: 4935
Epoch 4935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4935With loss 0.1267430099331721
epoch: 4936
Epoch 4936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4936With loss 0.1267430099331721
epoch: 4937
Epoch 4937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4937With loss 0.1267430099331721
epoch: 4938
Epoch 4938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4938With loss 0.1267430099331721
epoch: 4939
Epoch 4939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4939With loss 0.1267430099331721
epoch: 4940
Epoch 4940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4940With loss 0.1267430099331721
epoch: 4941
Epoch 4941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4941With loss 0.1267430099331721
epoch: 4942
Epoch 4942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4942With loss 0.1267430099331721
epoch: 4943
Epoch 4943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4943With loss 0.1267430099331721
epoch: 4944
Epoch 4944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4944With loss 0.1267430099331721
epoch: 4945
Epoch 4945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4945With loss 0.1267430099331721
epoch: 4946
Epoch 4946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4946With loss 0.1267430099331721
epoch: 4947
Epoch 4947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4947With loss 0.1267430099331721
epoch: 4948
Epoch 4948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4948With loss 0.1267430099331721
epoch: 4949
Epoch 4949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4949With loss 0.1267430099331721
epoch: 4950
Epoch 4950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4950With loss 0.1267430099331721
epoch: 4951
Epoch 4951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4951With loss 0.1267430099331721
epoch: 4952
Epoch 4952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4952With loss 0.1267430099331721
epoch: 4953
Epoch 4953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4953With loss 0.1267430099331721
epoch: 4954
Epoch 4954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4954With loss 0.1267430099331721
epoch: 4955
Epoch 4955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4955With loss 0.1267430099331721
epoch: 4956
Epoch 4956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4956With loss 0.1267430099331721
epoch: 4957
Epoch 4957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4957With loss 0.1267430099331721
epoch: 4958
Epoch 4958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4958With loss 0.1267430099331721
epoch: 4959
Epoch 4959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4959With loss 0.1267430099331721
epoch: 4960
Epoch 4960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4960With loss 0.1267430099331721
epoch: 4961
Epoch 4961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4961With loss 0.1267430099331721
epoch: 4962
Epoch 4962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4962With loss 0.1267430099331721
epoch: 4963
Epoch 4963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4963With loss 0.1267430099331721
epoch: 4964
Epoch 4964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4964With loss 0.1267430099331721
epoch: 4965
Epoch 4965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4965With loss 0.1267430099331721
epoch: 4966
Epoch 4966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4966With loss 0.1267430099331721
epoch: 4967
Epoch 4967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4967With loss 0.1267430099331721
epoch: 4968
Epoch 4968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4968With loss 0.1267430099331721
epoch: 4969
Epoch 4969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4969With loss 0.1267430099331721
epoch: 4970
Epoch 4970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4970With loss 0.1267430099331721
epoch: 4971
Epoch 4971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4971With loss 0.1267430099331721
epoch: 4972
Epoch 4972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4972With loss 0.1267430099331721
epoch: 4973
Epoch 4973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4973With loss 0.1267430099331721
epoch: 4974
Epoch 4974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4974With loss 0.1267430099331721
epoch: 4975
Epoch 4975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4975With loss 0.1267430099331721
epoch: 4976
Epoch 4976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4976With loss 0.1267430099331721
epoch: 4977
Epoch 4977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4977With loss 0.1267430099331721
epoch: 4978
Epoch 4978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4978With loss 0.1267430099331721
epoch: 4979
Epoch 4979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4979With loss 0.1267430099331721
epoch: 4980
Epoch 4980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4980With loss 0.1267430099331721
epoch: 4981
Epoch 4981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4981With loss 0.1267430099331721
epoch: 4982
Epoch 4982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4982With loss 0.1267430099331721
epoch: 4983
Epoch 4983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4983With loss 0.1267430099331721
epoch: 4984
Epoch 4984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4984With loss 0.1267430099331721
epoch: 4985
Epoch 4985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4985With loss 0.1267430099331721
epoch: 4986
Epoch 4986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4986With loss 0.1267430099331721
epoch: 4987
Epoch 4987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4987With loss 0.1267430099331721
epoch: 4988
Epoch 4988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4988With loss 0.1267430099331721
epoch: 4989
Epoch 4989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4989With loss 0.1267430099331721
epoch: 4990
Epoch 4990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4990With loss 0.1267430099331721
epoch: 4991
Epoch 4991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4991With loss 0.1267430099331721
epoch: 4992
Epoch 4992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4992With loss 0.1267430099331721
epoch: 4993
Epoch 4993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4993With loss 0.1267430099331721
epoch: 4994
Epoch 4994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4994With loss 0.1267430099331721
epoch: 4995
Epoch 4995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4995With loss 0.1267430099331721
epoch: 4996
Epoch 4996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4996With loss 0.1267430099331721
epoch: 4997
Epoch 4997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4997With loss 0.1267430099331721
epoch: 4998
Epoch 4998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4998With loss 0.1267430099331721
epoch: 4999
Epoch 4999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 4999With loss 0.1267430099331721
epoch: 5000
Epoch 5000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5000With loss 0.1267430099331721
epoch: 5001
Epoch 5001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5001With loss 0.1267430099331721
epoch: 5002
Epoch 5002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5002With loss 0.1267430099331721
epoch: 5003
Epoch 5003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5003With loss 0.1267430099331721
epoch: 5004
Epoch 5004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5004With loss 0.1267430099331721
epoch: 5005
Epoch 5005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5005With loss 0.1267430099331721
epoch: 5006
Epoch 5006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5006With loss 0.1267430099331721
epoch: 5007
Epoch 5007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5007With loss 0.1267430099331721
epoch: 5008
Epoch 5008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5008With loss 0.1267430099331721
epoch: 5009
Epoch 5009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5009With loss 0.1267430099331721
epoch: 5010
Epoch 5010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5010With loss 0.1267430099331721
epoch: 5011
Epoch 5011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5011With loss 0.1267430099331721
epoch: 5012
Epoch 5012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5012With loss 0.1267430099331721
epoch: 5013
Epoch 5013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5013With loss 0.1267430099331721
epoch: 5014
Epoch 5014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5014With loss 0.1267430099331721
epoch: 5015
Epoch 5015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5015With loss 0.1267430099331721
epoch: 5016
Epoch 5016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5016With loss 0.1267430099331721
epoch: 5017
Epoch 5017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5017With loss 0.1267430099331721
epoch: 5018
Epoch 5018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5018With loss 0.1267430099331721
epoch: 5019
Epoch 5019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5019With loss 0.1267430099331721
epoch: 5020
Epoch 5020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5020With loss 0.1267430099331721
epoch: 5021
Epoch 5021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5021With loss 0.1267430099331721
epoch: 5022
Epoch 5022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5022With loss 0.1267430099331721
epoch: 5023
Epoch 5023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5023With loss 0.1267430099331721
epoch: 5024
Epoch 5024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5024With loss 0.1267430099331721
epoch: 5025
Epoch 5025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5025With loss 0.1267430099331721
epoch: 5026
Epoch 5026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5026With loss 0.1267430099331721
epoch: 5027
Epoch 5027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5027With loss 0.1267430099331721
epoch: 5028
Epoch 5028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5028With loss 0.1267430099331721
epoch: 5029
Epoch 5029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5029With loss 0.1267430099331721
epoch: 5030
Epoch 5030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5030With loss 0.1267430099331721
epoch: 5031
Epoch 5031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5031With loss 0.1267430099331721
epoch: 5032
Epoch 5032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5032With loss 0.1267430099331721
epoch: 5033
Epoch 5033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5033With loss 0.1267430099331721
epoch: 5034
Epoch 5034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5034With loss 0.1267430099331721
epoch: 5035
Epoch 5035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5035With loss 0.1267430099331721
epoch: 5036
Epoch 5036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5036With loss 0.1267430099331721
epoch: 5037
Epoch 5037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5037With loss 0.1267430099331721
epoch: 5038
Epoch 5038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5038With loss 0.1267430099331721
epoch: 5039
Epoch 5039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5039With loss 0.1267430099331721
epoch: 5040
Epoch 5040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5040With loss 0.1267430099331721
epoch: 5041
Epoch 5041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5041With loss 0.1267430099331721
epoch: 5042
Epoch 5042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5042With loss 0.1267430099331721
epoch: 5043
Epoch 5043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5043With loss 0.1267430099331721
epoch: 5044
Epoch 5044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5044With loss 0.1267430099331721
epoch: 5045
Epoch 5045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5045With loss 0.1267430099331721
epoch: 5046
Epoch 5046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5046With loss 0.1267430099331721
epoch: 5047
Epoch 5047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5047With loss 0.1267430099331721
epoch: 5048
Epoch 5048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5048With loss 0.1267430099331721
epoch: 5049
Epoch 5049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5049With loss 0.1267430099331721
epoch: 5050
Epoch 5050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5050With loss 0.1267430099331721
epoch: 5051
Epoch 5051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5051With loss 0.1267430099331721
epoch: 5052
Epoch 5052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5052With loss 0.1267430099331721
epoch: 5053
Epoch 5053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5053With loss 0.1267430099331721
epoch: 5054
Epoch 5054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5054With loss 0.1267430099331721
epoch: 5055
Epoch 5055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5055With loss 0.1267430099331721
epoch: 5056
Epoch 5056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5056With loss 0.1267430099331721
epoch: 5057
Epoch 5057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5057With loss 0.1267430099331721
epoch: 5058
Epoch 5058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5058With loss 0.1267430099331721
epoch: 5059
Epoch 5059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5059With loss 0.1267430099331721
epoch: 5060
Epoch 5060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5060With loss 0.1267430099331721
epoch: 5061
Epoch 5061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5061With loss 0.1267430099331721
epoch: 5062
Epoch 5062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5062With loss 0.1267430099331721
epoch: 5063
Epoch 5063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5063With loss 0.1267430099331721
epoch: 5064
Epoch 5064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5064With loss 0.1267430099331721
epoch: 5065
Epoch 5065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5065With loss 0.1267430099331721
epoch: 5066
Epoch 5066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5066With loss 0.1267430099331721
epoch: 5067
Epoch 5067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5067With loss 0.1267430099331721
epoch: 5068
Epoch 5068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5068With loss 0.1267430099331721
epoch: 5069
Epoch 5069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5069With loss 0.1267430099331721
epoch: 5070
Epoch 5070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5070With loss 0.1267430099331721
epoch: 5071
Epoch 5071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5071With loss 0.1267430099331721
epoch: 5072
Epoch 5072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5072With loss 0.1267430099331721
epoch: 5073
Epoch 5073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5073With loss 0.1267430099331721
epoch: 5074
Epoch 5074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5074With loss 0.1267430099331721
epoch: 5075
Epoch 5075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5075With loss 0.1267430099331721
epoch: 5076
Epoch 5076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5076With loss 0.1267430099331721
epoch: 5077
Epoch 5077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5077With loss 0.1267430099331721
epoch: 5078
Epoch 5078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5078With loss 0.1267430099331721
epoch: 5079
Epoch 5079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5079With loss 0.1267430099331721
epoch: 5080
Epoch 5080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5080With loss 0.1267430099331721
epoch: 5081
Epoch 5081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5081With loss 0.1267430099331721
epoch: 5082
Epoch 5082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5082With loss 0.1267430099331721
epoch: 5083
Epoch 5083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5083With loss 0.1267430099331721
epoch: 5084
Epoch 5084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5084With loss 0.1267430099331721
epoch: 5085
Epoch 5085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5085With loss 0.1267430099331721
epoch: 5086
Epoch 5086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5086With loss 0.1267430099331721
epoch: 5087
Epoch 5087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5087With loss 0.1267430099331721
epoch: 5088
Epoch 5088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5088With loss 0.1267430099331721
epoch: 5089
Epoch 5089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5089With loss 0.1267430099331721
epoch: 5090
Epoch 5090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5090With loss 0.1267430099331721
epoch: 5091
Epoch 5091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5091With loss 0.1267430099331721
epoch: 5092
Epoch 5092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5092With loss 0.1267430099331721
epoch: 5093
Epoch 5093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5093With loss 0.1267430099331721
epoch: 5094
Epoch 5094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5094With loss 0.1267430099331721
epoch: 5095
Epoch 5095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5095With loss 0.1267430099331721
epoch: 5096
Epoch 5096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5096With loss 0.1267430099331721
epoch: 5097
Epoch 5097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5097With loss 0.1267430099331721
epoch: 5098
Epoch 5098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5098With loss 0.1267430099331721
epoch: 5099
Epoch 5099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5099With loss 0.1267430099331721
epoch: 5100
Epoch 5100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5100With loss 0.1267430099331721
epoch: 5101
Epoch 5101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5101With loss 0.1267430099331721
epoch: 5102
Epoch 5102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5102With loss 0.1267430099331721
epoch: 5103
Epoch 5103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5103With loss 0.1267430099331721
epoch: 5104
Epoch 5104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5104With loss 0.1267430099331721
epoch: 5105
Epoch 5105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5105With loss 0.1267430099331721
epoch: 5106
Epoch 5106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5106With loss 0.1267430099331721
epoch: 5107
Epoch 5107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5107With loss 0.1267430099331721
epoch: 5108
Epoch 5108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5108With loss 0.1267430099331721
epoch: 5109
Epoch 5109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5109With loss 0.1267430099331721
epoch: 5110
Epoch 5110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5110With loss 0.1267430099331721
epoch: 5111
Epoch 5111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5111With loss 0.1267430099331721
epoch: 5112
Epoch 5112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5112With loss 0.1267430099331721
epoch: 5113
Epoch 5113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5113With loss 0.1267430099331721
epoch: 5114
Epoch 5114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5114With loss 0.1267430099331721
epoch: 5115
Epoch 5115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5115With loss 0.1267430099331721
epoch: 5116
Epoch 5116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5116With loss 0.1267430099331721
epoch: 5117
Epoch 5117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5117With loss 0.1267430099331721
epoch: 5118
Epoch 5118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5118With loss 0.1267430099331721
epoch: 5119
Epoch 5119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5119With loss 0.1267430099331721
epoch: 5120
Epoch 5120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5120With loss 0.1267430099331721
epoch: 5121
Epoch 5121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5121With loss 0.1267430099331721
epoch: 5122
Epoch 5122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5122With loss 0.1267430099331721
epoch: 5123
Epoch 5123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5123With loss 0.1267430099331721
epoch: 5124
Epoch 5124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5124With loss 0.1267430099331721
epoch: 5125
Epoch 5125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5125With loss 0.1267430099331721
epoch: 5126
Epoch 5126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5126With loss 0.1267430099331721
epoch: 5127
Epoch 5127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5127With loss 0.1267430099331721
epoch: 5128
Epoch 5128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5128With loss 0.1267430099331721
epoch: 5129
Epoch 5129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5129With loss 0.1267430099331721
epoch: 5130
Epoch 5130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5130With loss 0.1267430099331721
epoch: 5131
Epoch 5131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5131With loss 0.1267430099331721
epoch: 5132
Epoch 5132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5132With loss 0.1267430099331721
epoch: 5133
Epoch 5133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5133With loss 0.1267430099331721
epoch: 5134
Epoch 5134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5134With loss 0.1267430099331721
epoch: 5135
Epoch 5135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5135With loss 0.1267430099331721
epoch: 5136
Epoch 5136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5136With loss 0.1267430099331721
epoch: 5137
Epoch 5137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5137With loss 0.1267430099331721
epoch: 5138
Epoch 5138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5138With loss 0.1267430099331721
epoch: 5139
Epoch 5139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5139With loss 0.1267430099331721
epoch: 5140
Epoch 5140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5140With loss 0.1267430099331721
epoch: 5141
Epoch 5141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5141With loss 0.1267430099331721
epoch: 5142
Epoch 5142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5142With loss 0.1267430099331721
epoch: 5143
Epoch 5143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5143With loss 0.1267430099331721
epoch: 5144
Epoch 5144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5144With loss 0.1267430099331721
epoch: 5145
Epoch 5145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5145With loss 0.1267430099331721
epoch: 5146
Epoch 5146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5146With loss 0.1267430099331721
epoch: 5147
Epoch 5147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5147With loss 0.1267430099331721
epoch: 5148
Epoch 5148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5148With loss 0.1267430099331721
epoch: 5149
Epoch 5149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5149With loss 0.1267430099331721
epoch: 5150
Epoch 5150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5150With loss 0.1267430099331721
epoch: 5151
Epoch 5151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5151With loss 0.1267430099331721
epoch: 5152
Epoch 5152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5152With loss 0.1267430099331721
epoch: 5153
Epoch 5153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5153With loss 0.1267430099331721
epoch: 5154
Epoch 5154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5154With loss 0.1267430099331721
epoch: 5155
Epoch 5155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5155With loss 0.1267430099331721
epoch: 5156
Epoch 5156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5156With loss 0.1267430099331721
epoch: 5157
Epoch 5157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5157With loss 0.1267430099331721
epoch: 5158
Epoch 5158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5158With loss 0.1267430099331721
epoch: 5159
Epoch 5159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5159With loss 0.1267430099331721
epoch: 5160
Epoch 5160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5160With loss 0.1267430099331721
epoch: 5161
Epoch 5161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5161With loss 0.1267430099331721
epoch: 5162
Epoch 5162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5162With loss 0.1267430099331721
epoch: 5163
Epoch 5163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5163With loss 0.1267430099331721
epoch: 5164
Epoch 5164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5164With loss 0.1267430099331721
epoch: 5165
Epoch 5165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5165With loss 0.1267430099331721
epoch: 5166
Epoch 5166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5166With loss 0.1267430099331721
epoch: 5167
Epoch 5167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5167With loss 0.1267430099331721
epoch: 5168
Epoch 5168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5168With loss 0.1267430099331721
epoch: 5169
Epoch 5169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5169With loss 0.1267430099331721
epoch: 5170
Epoch 5170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5170With loss 0.1267430099331721
epoch: 5171
Epoch 5171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5171With loss 0.1267430099331721
epoch: 5172
Epoch 5172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5172With loss 0.1267430099331721
epoch: 5173
Epoch 5173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5173With loss 0.1267430099331721
epoch: 5174
Epoch 5174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5174With loss 0.1267430099331721
epoch: 5175
Epoch 5175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5175With loss 0.1267430099331721
epoch: 5176
Epoch 5176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5176With loss 0.1267430099331721
epoch: 5177
Epoch 5177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5177With loss 0.1267430099331721
epoch: 5178
Epoch 5178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5178With loss 0.1267430099331721
epoch: 5179
Epoch 5179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5179With loss 0.1267430099331721
epoch: 5180
Epoch 5180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5180With loss 0.1267430099331721
epoch: 5181
Epoch 5181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5181With loss 0.1267430099331721
epoch: 5182
Epoch 5182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5182With loss 0.1267430099331721
epoch: 5183
Epoch 5183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5183With loss 0.1267430099331721
epoch: 5184
Epoch 5184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5184With loss 0.1267430099331721
epoch: 5185
Epoch 5185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5185With loss 0.1267430099331721
epoch: 5186
Epoch 5186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5186With loss 0.1267430099331721
epoch: 5187
Epoch 5187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5187With loss 0.1267430099331721
epoch: 5188
Epoch 5188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5188With loss 0.1267430099331721
epoch: 5189
Epoch 5189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5189With loss 0.1267430099331721
epoch: 5190
Epoch 5190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5190With loss 0.1267430099331721
epoch: 5191
Epoch 5191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5191With loss 0.1267430099331721
epoch: 5192
Epoch 5192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5192With loss 0.1267430099331721
epoch: 5193
Epoch 5193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5193With loss 0.1267430099331721
epoch: 5194
Epoch 5194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5194With loss 0.1267430099331721
epoch: 5195
Epoch 5195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5195With loss 0.1267430099331721
epoch: 5196
Epoch 5196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5196With loss 0.1267430099331721
epoch: 5197
Epoch 5197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5197With loss 0.1267430099331721
epoch: 5198
Epoch 5198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5198With loss 0.1267430099331721
epoch: 5199
Epoch 5199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5199With loss 0.1267430099331721
epoch: 5200
Epoch 5200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5200With loss 0.1267430099331721
epoch: 5201
Epoch 5201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5201With loss 0.1267430099331721
epoch: 5202
Epoch 5202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5202With loss 0.1267430099331721
epoch: 5203
Epoch 5203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5203With loss 0.1267430099331721
epoch: 5204
Epoch 5204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5204With loss 0.1267430099331721
epoch: 5205
Epoch 5205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5205With loss 0.1267430099331721
epoch: 5206
Epoch 5206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5206With loss 0.1267430099331721
epoch: 5207
Epoch 5207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5207With loss 0.1267430099331721
epoch: 5208
Epoch 5208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5208With loss 0.1267430099331721
epoch: 5209
Epoch 5209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5209With loss 0.1267430099331721
epoch: 5210
Epoch 5210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5210With loss 0.1267430099331721
epoch: 5211
Epoch 5211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5211With loss 0.1267430099331721
epoch: 5212
Epoch 5212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5212With loss 0.1267430099331721
epoch: 5213
Epoch 5213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5213With loss 0.1267430099331721
epoch: 5214
Epoch 5214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5214With loss 0.1267430099331721
epoch: 5215
Epoch 5215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5215With loss 0.1267430099331721
epoch: 5216
Epoch 5216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5216With loss 0.1267430099331721
epoch: 5217
Epoch 5217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5217With loss 0.1267430099331721
epoch: 5218
Epoch 5218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5218With loss 0.1267430099331721
epoch: 5219
Epoch 5219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5219With loss 0.1267430099331721
epoch: 5220
Epoch 5220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5220With loss 0.1267430099331721
epoch: 5221
Epoch 5221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5221With loss 0.1267430099331721
epoch: 5222
Epoch 5222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5222With loss 0.1267430099331721
epoch: 5223
Epoch 5223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5223With loss 0.1267430099331721
epoch: 5224
Epoch 5224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5224With loss 0.1267430099331721
epoch: 5225
Epoch 5225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5225With loss 0.1267430099331721
epoch: 5226
Epoch 5226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5226With loss 0.1267430099331721
epoch: 5227
Epoch 5227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5227With loss 0.1267430099331721
epoch: 5228
Epoch 5228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5228With loss 0.1267430099331721
epoch: 5229
Epoch 5229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5229With loss 0.1267430099331721
epoch: 5230
Epoch 5230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5230With loss 0.1267430099331721
epoch: 5231
Epoch 5231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5231With loss 0.1267430099331721
epoch: 5232
Epoch 5232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5232With loss 0.1267430099331721
epoch: 5233
Epoch 5233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5233With loss 0.1267430099331721
epoch: 5234
Epoch 5234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5234With loss 0.1267430099331721
epoch: 5235
Epoch 5235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5235With loss 0.1267430099331721
epoch: 5236
Epoch 5236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5236With loss 0.1267430099331721
epoch: 5237
Epoch 5237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5237With loss 0.1267430099331721
epoch: 5238
Epoch 5238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5238With loss 0.1267430099331721
epoch: 5239
Epoch 5239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5239With loss 0.1267430099331721
epoch: 5240
Epoch 5240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5240With loss 0.1267430099331721
epoch: 5241
Epoch 5241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5241With loss 0.1267430099331721
epoch: 5242
Epoch 5242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5242With loss 0.1267430099331721
epoch: 5243
Epoch 5243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5243With loss 0.1267430099331721
epoch: 5244
Epoch 5244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5244With loss 0.1267430099331721
epoch: 5245
Epoch 5245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5245With loss 0.1267430099331721
epoch: 5246
Epoch 5246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5246With loss 0.1267430099331721
epoch: 5247
Epoch 5247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5247With loss 0.1267430099331721
epoch: 5248
Epoch 5248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5248With loss 0.1267430099331721
epoch: 5249
Epoch 5249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5249With loss 0.1267430099331721
epoch: 5250
Epoch 5250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5250With loss 0.1267430099331721
epoch: 5251
Epoch 5251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5251With loss 0.1267430099331721
epoch: 5252
Epoch 5252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5252With loss 0.1267430099331721
epoch: 5253
Epoch 5253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5253With loss 0.1267430099331721
epoch: 5254
Epoch 5254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5254With loss 0.1267430099331721
epoch: 5255
Epoch 5255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5255With loss 0.1267430099331721
epoch: 5256
Epoch 5256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5256With loss 0.1267430099331721
epoch: 5257
Epoch 5257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5257With loss 0.1267430099331721
epoch: 5258
Epoch 5258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5258With loss 0.1267430099331721
epoch: 5259
Epoch 5259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5259With loss 0.1267430099331721
epoch: 5260
Epoch 5260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5260With loss 0.1267430099331721
epoch: 5261
Epoch 5261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5261With loss 0.1267430099331721
epoch: 5262
Epoch 5262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5262With loss 0.1267430099331721
epoch: 5263
Epoch 5263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5263With loss 0.1267430099331721
epoch: 5264
Epoch 5264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5264With loss 0.1267430099331721
epoch: 5265
Epoch 5265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5265With loss 0.1267430099331721
epoch: 5266
Epoch 5266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5266With loss 0.1267430099331721
epoch: 5267
Epoch 5267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5267With loss 0.1267430099331721
epoch: 5268
Epoch 5268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5268With loss 0.1267430099331721
epoch: 5269
Epoch 5269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5269With loss 0.1267430099331721
epoch: 5270
Epoch 5270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5270With loss 0.1267430099331721
epoch: 5271
Epoch 5271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5271With loss 0.1267430099331721
epoch: 5272
Epoch 5272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5272With loss 0.1267430099331721
epoch: 5273
Epoch 5273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5273With loss 0.1267430099331721
epoch: 5274
Epoch 5274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5274With loss 0.1267430099331721
epoch: 5275
Epoch 5275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5275With loss 0.1267430099331721
epoch: 5276
Epoch 5276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5276With loss 0.1267430099331721
epoch: 5277
Epoch 5277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5277With loss 0.1267430099331721
epoch: 5278
Epoch 5278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5278With loss 0.1267430099331721
epoch: 5279
Epoch 5279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5279With loss 0.1267430099331721
epoch: 5280
Epoch 5280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5280With loss 0.1267430099331721
epoch: 5281
Epoch 5281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5281With loss 0.1267430099331721
epoch: 5282
Epoch 5282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5282With loss 0.1267430099331721
epoch: 5283
Epoch 5283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5283With loss 0.1267430099331721
epoch: 5284
Epoch 5284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5284With loss 0.1267430099331721
epoch: 5285
Epoch 5285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5285With loss 0.1267430099331721
epoch: 5286
Epoch 5286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5286With loss 0.1267430099331721
epoch: 5287
Epoch 5287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5287With loss 0.1267430099331721
epoch: 5288
Epoch 5288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5288With loss 0.1267430099331721
epoch: 5289
Epoch 5289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5289With loss 0.1267430099331721
epoch: 5290
Epoch 5290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5290With loss 0.1267430099331721
epoch: 5291
Epoch 5291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5291With loss 0.1267430099331721
epoch: 5292
Epoch 5292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5292With loss 0.1267430099331721
epoch: 5293
Epoch 5293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5293With loss 0.1267430099331721
epoch: 5294
Epoch 5294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5294With loss 0.1267430099331721
epoch: 5295
Epoch 5295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5295With loss 0.1267430099331721
epoch: 5296
Epoch 5296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5296With loss 0.1267430099331721
epoch: 5297
Epoch 5297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5297With loss 0.1267430099331721
epoch: 5298
Epoch 5298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5298With loss 0.1267430099331721
epoch: 5299
Epoch 5299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5299With loss 0.1267430099331721
epoch: 5300
Epoch 5300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5300With loss 0.1267430099331721
epoch: 5301
Epoch 5301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5301With loss 0.1267430099331721
epoch: 5302
Epoch 5302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5302With loss 0.1267430099331721
epoch: 5303
Epoch 5303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5303With loss 0.1267430099331721
epoch: 5304
Epoch 5304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5304With loss 0.1267430099331721
epoch: 5305
Epoch 5305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5305With loss 0.1267430099331721
epoch: 5306
Epoch 5306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5306With loss 0.1267430099331721
epoch: 5307
Epoch 5307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5307With loss 0.1267430099331721
epoch: 5308
Epoch 5308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5308With loss 0.1267430099331721
epoch: 5309
Epoch 5309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5309With loss 0.1267430099331721
epoch: 5310
Epoch 5310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5310With loss 0.1267430099331721
epoch: 5311
Epoch 5311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5311With loss 0.1267430099331721
epoch: 5312
Epoch 5312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5312With loss 0.1267430099331721
epoch: 5313
Epoch 5313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5313With loss 0.1267430099331721
epoch: 5314
Epoch 5314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5314With loss 0.1267430099331721
epoch: 5315
Epoch 5315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5315With loss 0.1267430099331721
epoch: 5316
Epoch 5316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5316With loss 0.1267430099331721
epoch: 5317
Epoch 5317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5317With loss 0.1267430099331721
epoch: 5318
Epoch 5318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5318With loss 0.1267430099331721
epoch: 5319
Epoch 5319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5319With loss 0.1267430099331721
epoch: 5320
Epoch 5320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5320With loss 0.1267430099331721
epoch: 5321
Epoch 5321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5321With loss 0.1267430099331721
epoch: 5322
Epoch 5322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5322With loss 0.1267430099331721
epoch: 5323
Epoch 5323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5323With loss 0.1267430099331721
epoch: 5324
Epoch 5324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5324With loss 0.1267430099331721
epoch: 5325
Epoch 5325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5325With loss 0.1267430099331721
epoch: 5326
Epoch 5326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5326With loss 0.1267430099331721
epoch: 5327
Epoch 5327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5327With loss 0.1267430099331721
epoch: 5328
Epoch 5328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5328With loss 0.1267430099331721
epoch: 5329
Epoch 5329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5329With loss 0.1267430099331721
epoch: 5330
Epoch 5330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5330With loss 0.1267430099331721
epoch: 5331
Epoch 5331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5331With loss 0.1267430099331721
epoch: 5332
Epoch 5332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5332With loss 0.1267430099331721
epoch: 5333
Epoch 5333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5333With loss 0.1267430099331721
epoch: 5334
Epoch 5334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5334With loss 0.1267430099331721
epoch: 5335
Epoch 5335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5335With loss 0.1267430099331721
epoch: 5336
Epoch 5336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5336With loss 0.1267430099331721
epoch: 5337
Epoch 5337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5337With loss 0.1267430099331721
epoch: 5338
Epoch 5338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5338With loss 0.1267430099331721
epoch: 5339
Epoch 5339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5339With loss 0.1267430099331721
epoch: 5340
Epoch 5340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5340With loss 0.1267430099331721
epoch: 5341
Epoch 5341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5341With loss 0.1267430099331721
epoch: 5342
Epoch 5342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5342With loss 0.1267430099331721
epoch: 5343
Epoch 5343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5343With loss 0.1267430099331721
epoch: 5344
Epoch 5344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5344With loss 0.1267430099331721
epoch: 5345
Epoch 5345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5345With loss 0.1267430099331721
epoch: 5346
Epoch 5346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5346With loss 0.1267430099331721
epoch: 5347
Epoch 5347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5347With loss 0.1267430099331721
epoch: 5348
Epoch 5348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5348With loss 0.1267430099331721
epoch: 5349
Epoch 5349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5349With loss 0.1267430099331721
epoch: 5350
Epoch 5350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5350With loss 0.1267430099331721
epoch: 5351
Epoch 5351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5351With loss 0.1267430099331721
epoch: 5352
Epoch 5352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5352With loss 0.1267430099331721
epoch: 5353
Epoch 5353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5353With loss 0.1267430099331721
epoch: 5354
Epoch 5354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5354With loss 0.1267430099331721
epoch: 5355
Epoch 5355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5355With loss 0.1267430099331721
epoch: 5356
Epoch 5356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5356With loss 0.1267430099331721
epoch: 5357
Epoch 5357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5357With loss 0.1267430099331721
epoch: 5358
Epoch 5358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5358With loss 0.1267430099331721
epoch: 5359
Epoch 5359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5359With loss 0.1267430099331721
epoch: 5360
Epoch 5360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5360With loss 0.1267430099331721
epoch: 5361
Epoch 5361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5361With loss 0.1267430099331721
epoch: 5362
Epoch 5362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5362With loss 0.1267430099331721
epoch: 5363
Epoch 5363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5363With loss 0.1267430099331721
epoch: 5364
Epoch 5364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5364With loss 0.1267430099331721
epoch: 5365
Epoch 5365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5365With loss 0.1267430099331721
epoch: 5366
Epoch 5366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5366With loss 0.1267430099331721
epoch: 5367
Epoch 5367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5367With loss 0.1267430099331721
epoch: 5368
Epoch 5368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5368With loss 0.1267430099331721
epoch: 5369
Epoch 5369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5369With loss 0.1267430099331721
epoch: 5370
Epoch 5370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5370With loss 0.1267430099331721
epoch: 5371
Epoch 5371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5371With loss 0.1267430099331721
epoch: 5372
Epoch 5372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5372With loss 0.1267430099331721
epoch: 5373
Epoch 5373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5373With loss 0.1267430099331721
epoch: 5374
Epoch 5374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5374With loss 0.1267430099331721
epoch: 5375
Epoch 5375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5375With loss 0.1267430099331721
epoch: 5376
Epoch 5376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5376With loss 0.1267430099331721
epoch: 5377
Epoch 5377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5377With loss 0.1267430099331721
epoch: 5378
Epoch 5378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5378With loss 0.1267430099331721
epoch: 5379
Epoch 5379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5379With loss 0.1267430099331721
epoch: 5380
Epoch 5380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5380With loss 0.1267430099331721
epoch: 5381
Epoch 5381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5381With loss 0.1267430099331721
epoch: 5382
Epoch 5382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5382With loss 0.1267430099331721
epoch: 5383
Epoch 5383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5383With loss 0.1267430099331721
epoch: 5384
Epoch 5384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5384With loss 0.1267430099331721
epoch: 5385
Epoch 5385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5385With loss 0.1267430099331721
epoch: 5386
Epoch 5386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5386With loss 0.1267430099331721
epoch: 5387
Epoch 5387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5387With loss 0.1267430099331721
epoch: 5388
Epoch 5388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5388With loss 0.1267430099331721
epoch: 5389
Epoch 5389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5389With loss 0.1267430099331721
epoch: 5390
Epoch 5390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5390With loss 0.1267430099331721
epoch: 5391
Epoch 5391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5391With loss 0.1267430099331721
epoch: 5392
Epoch 5392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5392With loss 0.1267430099331721
epoch: 5393
Epoch 5393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5393With loss 0.1267430099331721
epoch: 5394
Epoch 5394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5394With loss 0.1267430099331721
epoch: 5395
Epoch 5395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5395With loss 0.1267430099331721
epoch: 5396
Epoch 5396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5396With loss 0.1267430099331721
epoch: 5397
Epoch 5397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5397With loss 0.1267430099331721
epoch: 5398
Epoch 5398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5398With loss 0.1267430099331721
epoch: 5399
Epoch 5399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5399With loss 0.1267430099331721
epoch: 5400
Epoch 5400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5400With loss 0.1267430099331721
epoch: 5401
Epoch 5401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5401With loss 0.1267430099331721
epoch: 5402
Epoch 5402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5402With loss 0.1267430099331721
epoch: 5403
Epoch 5403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5403With loss 0.1267430099331721
epoch: 5404
Epoch 5404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5404With loss 0.1267430099331721
epoch: 5405
Epoch 5405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5405With loss 0.1267430099331721
epoch: 5406
Epoch 5406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5406With loss 0.1267430099331721
epoch: 5407
Epoch 5407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5407With loss 0.1267430099331721
epoch: 5408
Epoch 5408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5408With loss 0.1267430099331721
epoch: 5409
Epoch 5409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5409With loss 0.1267430099331721
epoch: 5410
Epoch 5410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5410With loss 0.1267430099331721
epoch: 5411
Epoch 5411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5411With loss 0.1267430099331721
epoch: 5412
Epoch 5412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5412With loss 0.1267430099331721
epoch: 5413
Epoch 5413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5413With loss 0.1267430099331721
epoch: 5414
Epoch 5414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5414With loss 0.1267430099331721
epoch: 5415
Epoch 5415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5415With loss 0.1267430099331721
epoch: 5416
Epoch 5416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5416With loss 0.1267430099331721
epoch: 5417
Epoch 5417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5417With loss 0.1267430099331721
epoch: 5418
Epoch 5418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5418With loss 0.1267430099331721
epoch: 5419
Epoch 5419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5419With loss 0.1267430099331721
epoch: 5420
Epoch 5420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5420With loss 0.1267430099331721
epoch: 5421
Epoch 5421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5421With loss 0.1267430099331721
epoch: 5422
Epoch 5422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5422With loss 0.1267430099331721
epoch: 5423
Epoch 5423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5423With loss 0.1267430099331721
epoch: 5424
Epoch 5424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5424With loss 0.1267430099331721
epoch: 5425
Epoch 5425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5425With loss 0.1267430099331721
epoch: 5426
Epoch 5426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5426With loss 0.1267430099331721
epoch: 5427
Epoch 5427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5427With loss 0.1267430099331721
epoch: 5428
Epoch 5428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5428With loss 0.1267430099331721
epoch: 5429
Epoch 5429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5429With loss 0.1267430099331721
epoch: 5430
Epoch 5430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5430With loss 0.1267430099331721
epoch: 5431
Epoch 5431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5431With loss 0.1267430099331721
epoch: 5432
Epoch 5432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5432With loss 0.1267430099331721
epoch: 5433
Epoch 5433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5433With loss 0.1267430099331721
epoch: 5434
Epoch 5434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5434With loss 0.1267430099331721
epoch: 5435
Epoch 5435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5435With loss 0.1267430099331721
epoch: 5436
Epoch 5436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5436With loss 0.1267430099331721
epoch: 5437
Epoch 5437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5437With loss 0.1267430099331721
epoch: 5438
Epoch 5438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5438With loss 0.1267430099331721
epoch: 5439
Epoch 5439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5439With loss 0.1267430099331721
epoch: 5440
Epoch 5440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5440With loss 0.1267430099331721
epoch: 5441
Epoch 5441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5441With loss 0.1267430099331721
epoch: 5442
Epoch 5442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5442With loss 0.1267430099331721
epoch: 5443
Epoch 5443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5443With loss 0.1267430099331721
epoch: 5444
Epoch 5444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5444With loss 0.1267430099331721
epoch: 5445
Epoch 5445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5445With loss 0.1267430099331721
epoch: 5446
Epoch 5446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5446With loss 0.1267430099331721
epoch: 5447
Epoch 5447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5447With loss 0.1267430099331721
epoch: 5448
Epoch 5448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5448With loss 0.1267430099331721
epoch: 5449
Epoch 5449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5449With loss 0.1267430099331721
epoch: 5450
Epoch 5450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5450With loss 0.1267430099331721
epoch: 5451
Epoch 5451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5451With loss 0.1267430099331721
epoch: 5452
Epoch 5452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5452With loss 0.1267430099331721
epoch: 5453
Epoch 5453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5453With loss 0.1267430099331721
epoch: 5454
Epoch 5454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5454With loss 0.1267430099331721
epoch: 5455
Epoch 5455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5455With loss 0.1267430099331721
epoch: 5456
Epoch 5456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5456With loss 0.1267430099331721
epoch: 5457
Epoch 5457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5457With loss 0.1267430099331721
epoch: 5458
Epoch 5458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5458With loss 0.1267430099331721
epoch: 5459
Epoch 5459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5459With loss 0.1267430099331721
epoch: 5460
Epoch 5460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5460With loss 0.1267430099331721
epoch: 5461
Epoch 5461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5461With loss 0.1267430099331721
epoch: 5462
Epoch 5462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5462With loss 0.1267430099331721
epoch: 5463
Epoch 5463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5463With loss 0.1267430099331721
epoch: 5464
Epoch 5464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5464With loss 0.1267430099331721
epoch: 5465
Epoch 5465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5465With loss 0.1267430099331721
epoch: 5466
Epoch 5466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5466With loss 0.1267430099331721
epoch: 5467
Epoch 5467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5467With loss 0.1267430099331721
epoch: 5468
Epoch 5468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5468With loss 0.1267430099331721
epoch: 5469
Epoch 5469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5469With loss 0.1267430099331721
epoch: 5470
Epoch 5470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5470With loss 0.1267430099331721
epoch: 5471
Epoch 5471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5471With loss 0.1267430099331721
epoch: 5472
Epoch 5472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5472With loss 0.1267430099331721
epoch: 5473
Epoch 5473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5473With loss 0.1267430099331721
epoch: 5474
Epoch 5474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5474With loss 0.1267430099331721
epoch: 5475
Epoch 5475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5475With loss 0.1267430099331721
epoch: 5476
Epoch 5476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5476With loss 0.1267430099331721
epoch: 5477
Epoch 5477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5477With loss 0.1267430099331721
epoch: 5478
Epoch 5478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5478With loss 0.1267430099331721
epoch: 5479
Epoch 5479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5479With loss 0.1267430099331721
epoch: 5480
Epoch 5480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5480With loss 0.1267430099331721
epoch: 5481
Epoch 5481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5481With loss 0.1267430099331721
epoch: 5482
Epoch 5482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5482With loss 0.1267430099331721
epoch: 5483
Epoch 5483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5483With loss 0.1267430099331721
epoch: 5484
Epoch 5484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5484With loss 0.1267430099331721
epoch: 5485
Epoch 5485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5485With loss 0.1267430099331721
epoch: 5486
Epoch 5486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5486With loss 0.1267430099331721
epoch: 5487
Epoch 5487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5487With loss 0.1267430099331721
epoch: 5488
Epoch 5488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5488With loss 0.1267430099331721
epoch: 5489
Epoch 5489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5489With loss 0.1267430099331721
epoch: 5490
Epoch 5490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5490With loss 0.1267430099331721
epoch: 5491
Epoch 5491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5491With loss 0.1267430099331721
epoch: 5492
Epoch 5492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5492With loss 0.1267430099331721
epoch: 5493
Epoch 5493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5493With loss 0.1267430099331721
epoch: 5494
Epoch 5494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5494With loss 0.1267430099331721
epoch: 5495
Epoch 5495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5495With loss 0.1267430099331721
epoch: 5496
Epoch 5496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5496With loss 0.1267430099331721
epoch: 5497
Epoch 5497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5497With loss 0.1267430099331721
epoch: 5498
Epoch 5498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5498With loss 0.1267430099331721
epoch: 5499
Epoch 5499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5499With loss 0.1267430099331721
epoch: 5500
Epoch 5500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5500With loss 0.1267430099331721
epoch: 5501
Epoch 5501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5501With loss 0.1267430099331721
epoch: 5502
Epoch 5502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5502With loss 0.1267430099331721
epoch: 5503
Epoch 5503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5503With loss 0.1267430099331721
epoch: 5504
Epoch 5504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5504With loss 0.1267430099331721
epoch: 5505
Epoch 5505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5505With loss 0.1267430099331721
epoch: 5506
Epoch 5506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5506With loss 0.1267430099331721
epoch: 5507
Epoch 5507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5507With loss 0.1267430099331721
epoch: 5508
Epoch 5508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5508With loss 0.1267430099331721
epoch: 5509
Epoch 5509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5509With loss 0.1267430099331721
epoch: 5510
Epoch 5510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5510With loss 0.1267430099331721
epoch: 5511
Epoch 5511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5511With loss 0.1267430099331721
epoch: 5512
Epoch 5512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5512With loss 0.1267430099331721
epoch: 5513
Epoch 5513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5513With loss 0.1267430099331721
epoch: 5514
Epoch 5514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5514With loss 0.1267430099331721
epoch: 5515
Epoch 5515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5515With loss 0.1267430099331721
epoch: 5516
Epoch 5516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5516With loss 0.1267430099331721
epoch: 5517
Epoch 5517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5517With loss 0.1267430099331721
epoch: 5518
Epoch 5518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5518With loss 0.1267430099331721
epoch: 5519
Epoch 5519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5519With loss 0.1267430099331721
epoch: 5520
Epoch 5520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5520With loss 0.1267430099331721
epoch: 5521
Epoch 5521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5521With loss 0.1267430099331721
epoch: 5522
Epoch 5522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5522With loss 0.1267430099331721
epoch: 5523
Epoch 5523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5523With loss 0.1267430099331721
epoch: 5524
Epoch 5524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5524With loss 0.1267430099331721
epoch: 5525
Epoch 5525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5525With loss 0.1267430099331721
epoch: 5526
Epoch 5526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5526With loss 0.1267430099331721
epoch: 5527
Epoch 5527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5527With loss 0.1267430099331721
epoch: 5528
Epoch 5528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5528With loss 0.1267430099331721
epoch: 5529
Epoch 5529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5529With loss 0.1267430099331721
epoch: 5530
Epoch 5530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5530With loss 0.1267430099331721
epoch: 5531
Epoch 5531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5531With loss 0.1267430099331721
epoch: 5532
Epoch 5532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5532With loss 0.1267430099331721
epoch: 5533
Epoch 5533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5533With loss 0.1267430099331721
epoch: 5534
Epoch 5534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5534With loss 0.1267430099331721
epoch: 5535
Epoch 5535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5535With loss 0.1267430099331721
epoch: 5536
Epoch 5536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5536With loss 0.1267430099331721
epoch: 5537
Epoch 5537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5537With loss 0.1267430099331721
epoch: 5538
Epoch 5538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5538With loss 0.1267430099331721
epoch: 5539
Epoch 5539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5539With loss 0.1267430099331721
epoch: 5540
Epoch 5540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5540With loss 0.1267430099331721
epoch: 5541
Epoch 5541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5541With loss 0.1267430099331721
epoch: 5542
Epoch 5542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5542With loss 0.1267430099331721
epoch: 5543
Epoch 5543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5543With loss 0.1267430099331721
epoch: 5544
Epoch 5544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5544With loss 0.1267430099331721
epoch: 5545
Epoch 5545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5545With loss 0.1267430099331721
epoch: 5546
Epoch 5546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5546With loss 0.1267430099331721
epoch: 5547
Epoch 5547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5547With loss 0.1267430099331721
epoch: 5548
Epoch 5548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5548With loss 0.1267430099331721
epoch: 5549
Epoch 5549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5549With loss 0.1267430099331721
epoch: 5550
Epoch 5550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5550With loss 0.1267430099331721
epoch: 5551
Epoch 5551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5551With loss 0.1267430099331721
epoch: 5552
Epoch 5552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5552With loss 0.1267430099331721
epoch: 5553
Epoch 5553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5553With loss 0.1267430099331721
epoch: 5554
Epoch 5554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5554With loss 0.1267430099331721
epoch: 5555
Epoch 5555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5555With loss 0.1267430099331721
epoch: 5556
Epoch 5556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5556With loss 0.1267430099331721
epoch: 5557
Epoch 5557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5557With loss 0.1267430099331721
epoch: 5558
Epoch 5558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5558With loss 0.1267430099331721
epoch: 5559
Epoch 5559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5559With loss 0.1267430099331721
epoch: 5560
Epoch 5560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5560With loss 0.1267430099331721
epoch: 5561
Epoch 5561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5561With loss 0.1267430099331721
epoch: 5562
Epoch 5562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5562With loss 0.1267430099331721
epoch: 5563
Epoch 5563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5563With loss 0.1267430099331721
epoch: 5564
Epoch 5564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5564With loss 0.1267430099331721
epoch: 5565
Epoch 5565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5565With loss 0.1267430099331721
epoch: 5566
Epoch 5566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5566With loss 0.1267430099331721
epoch: 5567
Epoch 5567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5567With loss 0.1267430099331721
epoch: 5568
Epoch 5568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5568With loss 0.1267430099331721
epoch: 5569
Epoch 5569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5569With loss 0.1267430099331721
epoch: 5570
Epoch 5570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5570With loss 0.1267430099331721
epoch: 5571
Epoch 5571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5571With loss 0.1267430099331721
epoch: 5572
Epoch 5572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5572With loss 0.1267430099331721
epoch: 5573
Epoch 5573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5573With loss 0.1267430099331721
epoch: 5574
Epoch 5574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5574With loss 0.1267430099331721
epoch: 5575
Epoch 5575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5575With loss 0.1267430099331721
epoch: 5576
Epoch 5576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5576With loss 0.1267430099331721
epoch: 5577
Epoch 5577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5577With loss 0.1267430099331721
epoch: 5578
Epoch 5578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5578With loss 0.1267430099331721
epoch: 5579
Epoch 5579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5579With loss 0.1267430099331721
epoch: 5580
Epoch 5580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5580With loss 0.1267430099331721
epoch: 5581
Epoch 5581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5581With loss 0.1267430099331721
epoch: 5582
Epoch 5582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5582With loss 0.1267430099331721
epoch: 5583
Epoch 5583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5583With loss 0.1267430099331721
epoch: 5584
Epoch 5584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5584With loss 0.1267430099331721
epoch: 5585
Epoch 5585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5585With loss 0.1267430099331721
epoch: 5586
Epoch 5586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5586With loss 0.1267430099331721
epoch: 5587
Epoch 5587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5587With loss 0.1267430099331721
epoch: 5588
Epoch 5588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5588With loss 0.1267430099331721
epoch: 5589
Epoch 5589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5589With loss 0.1267430099331721
epoch: 5590
Epoch 5590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5590With loss 0.1267430099331721
epoch: 5591
Epoch 5591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5591With loss 0.1267430099331721
epoch: 5592
Epoch 5592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5592With loss 0.1267430099331721
epoch: 5593
Epoch 5593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5593With loss 0.1267430099331721
epoch: 5594
Epoch 5594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5594With loss 0.1267430099331721
epoch: 5595
Epoch 5595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5595With loss 0.1267430099331721
epoch: 5596
Epoch 5596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5596With loss 0.1267430099331721
epoch: 5597
Epoch 5597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5597With loss 0.1267430099331721
epoch: 5598
Epoch 5598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5598With loss 0.1267430099331721
epoch: 5599
Epoch 5599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5599With loss 0.1267430099331721
epoch: 5600
Epoch 5600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5600With loss 0.1267430099331721
epoch: 5601
Epoch 5601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5601With loss 0.1267430099331721
epoch: 5602
Epoch 5602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5602With loss 0.1267430099331721
epoch: 5603
Epoch 5603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5603With loss 0.1267430099331721
epoch: 5604
Epoch 5604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5604With loss 0.1267430099331721
epoch: 5605
Epoch 5605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5605With loss 0.1267430099331721
epoch: 5606
Epoch 5606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5606With loss 0.1267430099331721
epoch: 5607
Epoch 5607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5607With loss 0.1267430099331721
epoch: 5608
Epoch 5608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5608With loss 0.1267430099331721
epoch: 5609
Epoch 5609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5609With loss 0.1267430099331721
epoch: 5610
Epoch 5610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5610With loss 0.1267430099331721
epoch: 5611
Epoch 5611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5611With loss 0.1267430099331721
epoch: 5612
Epoch 5612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5612With loss 0.1267430099331721
epoch: 5613
Epoch 5613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5613With loss 0.1267430099331721
epoch: 5614
Epoch 5614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5614With loss 0.1267430099331721
epoch: 5615
Epoch 5615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5615With loss 0.1267430099331721
epoch: 5616
Epoch 5616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5616With loss 0.1267430099331721
epoch: 5617
Epoch 5617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5617With loss 0.1267430099331721
epoch: 5618
Epoch 5618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5618With loss 0.1267430099331721
epoch: 5619
Epoch 5619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5619With loss 0.1267430099331721
epoch: 5620
Epoch 5620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5620With loss 0.1267430099331721
epoch: 5621
Epoch 5621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5621With loss 0.1267430099331721
epoch: 5622
Epoch 5622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5622With loss 0.1267430099331721
epoch: 5623
Epoch 5623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5623With loss 0.1267430099331721
epoch: 5624
Epoch 5624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5624With loss 0.1267430099331721
epoch: 5625
Epoch 5625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5625With loss 0.1267430099331721
epoch: 5626
Epoch 5626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5626With loss 0.1267430099331721
epoch: 5627
Epoch 5627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5627With loss 0.1267430099331721
epoch: 5628
Epoch 5628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5628With loss 0.1267430099331721
epoch: 5629
Epoch 5629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5629With loss 0.1267430099331721
epoch: 5630
Epoch 5630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5630With loss 0.1267430099331721
epoch: 5631
Epoch 5631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5631With loss 0.1267430099331721
epoch: 5632
Epoch 5632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5632With loss 0.1267430099331721
epoch: 5633
Epoch 5633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5633With loss 0.1267430099331721
epoch: 5634
Epoch 5634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5634With loss 0.1267430099331721
epoch: 5635
Epoch 5635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5635With loss 0.1267430099331721
epoch: 5636
Epoch 5636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5636With loss 0.1267430099331721
epoch: 5637
Epoch 5637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5637With loss 0.1267430099331721
epoch: 5638
Epoch 5638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5638With loss 0.1267430099331721
epoch: 5639
Epoch 5639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5639With loss 0.1267430099331721
epoch: 5640
Epoch 5640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5640With loss 0.1267430099331721
epoch: 5641
Epoch 5641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5641With loss 0.1267430099331721
epoch: 5642
Epoch 5642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5642With loss 0.1267430099331721
epoch: 5643
Epoch 5643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5643With loss 0.1267430099331721
epoch: 5644
Epoch 5644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5644With loss 0.1267430099331721
epoch: 5645
Epoch 5645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5645With loss 0.1267430099331721
epoch: 5646
Epoch 5646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5646With loss 0.1267430099331721
epoch: 5647
Epoch 5647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5647With loss 0.1267430099331721
epoch: 5648
Epoch 5648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5648With loss 0.1267430099331721
epoch: 5649
Epoch 5649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5649With loss 0.1267430099331721
epoch: 5650
Epoch 5650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5650With loss 0.1267430099331721
epoch: 5651
Epoch 5651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5651With loss 0.1267430099331721
epoch: 5652
Epoch 5652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5652With loss 0.1267430099331721
epoch: 5653
Epoch 5653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5653With loss 0.1267430099331721
epoch: 5654
Epoch 5654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5654With loss 0.1267430099331721
epoch: 5655
Epoch 5655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5655With loss 0.1267430099331721
epoch: 5656
Epoch 5656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5656With loss 0.1267430099331721
epoch: 5657
Epoch 5657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5657With loss 0.1267430099331721
epoch: 5658
Epoch 5658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5658With loss 0.1267430099331721
epoch: 5659
Epoch 5659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5659With loss 0.1267430099331721
epoch: 5660
Epoch 5660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5660With loss 0.1267430099331721
epoch: 5661
Epoch 5661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5661With loss 0.1267430099331721
epoch: 5662
Epoch 5662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5662With loss 0.1267430099331721
epoch: 5663
Epoch 5663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5663With loss 0.1267430099331721
epoch: 5664
Epoch 5664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5664With loss 0.1267430099331721
epoch: 5665
Epoch 5665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5665With loss 0.1267430099331721
epoch: 5666
Epoch 5666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5666With loss 0.1267430099331721
epoch: 5667
Epoch 5667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5667With loss 0.1267430099331721
epoch: 5668
Epoch 5668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5668With loss 0.1267430099331721
epoch: 5669
Epoch 5669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5669With loss 0.1267430099331721
epoch: 5670
Epoch 5670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5670With loss 0.1267430099331721
epoch: 5671
Epoch 5671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5671With loss 0.1267430099331721
epoch: 5672
Epoch 5672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5672With loss 0.1267430099331721
epoch: 5673
Epoch 5673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5673With loss 0.1267430099331721
epoch: 5674
Epoch 5674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5674With loss 0.1267430099331721
epoch: 5675
Epoch 5675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5675With loss 0.1267430099331721
epoch: 5676
Epoch 5676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5676With loss 0.1267430099331721
epoch: 5677
Epoch 5677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5677With loss 0.1267430099331721
epoch: 5678
Epoch 5678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5678With loss 0.1267430099331721
epoch: 5679
Epoch 5679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5679With loss 0.1267430099331721
epoch: 5680
Epoch 5680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5680With loss 0.1267430099331721
epoch: 5681
Epoch 5681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5681With loss 0.1267430099331721
epoch: 5682
Epoch 5682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5682With loss 0.1267430099331721
epoch: 5683
Epoch 5683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5683With loss 0.1267430099331721
epoch: 5684
Epoch 5684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5684With loss 0.1267430099331721
epoch: 5685
Epoch 5685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5685With loss 0.1267430099331721
epoch: 5686
Epoch 5686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5686With loss 0.1267430099331721
epoch: 5687
Epoch 5687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5687With loss 0.1267430099331721
epoch: 5688
Epoch 5688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5688With loss 0.1267430099331721
epoch: 5689
Epoch 5689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5689With loss 0.1267430099331721
epoch: 5690
Epoch 5690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5690With loss 0.1267430099331721
epoch: 5691
Epoch 5691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5691With loss 0.1267430099331721
epoch: 5692
Epoch 5692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5692With loss 0.1267430099331721
epoch: 5693
Epoch 5693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5693With loss 0.1267430099331721
epoch: 5694
Epoch 5694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5694With loss 0.1267430099331721
epoch: 5695
Epoch 5695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5695With loss 0.1267430099331721
epoch: 5696
Epoch 5696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5696With loss 0.1267430099331721
epoch: 5697
Epoch 5697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5697With loss 0.1267430099331721
epoch: 5698
Epoch 5698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5698With loss 0.1267430099331721
epoch: 5699
Epoch 5699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5699With loss 0.1267430099331721
epoch: 5700
Epoch 5700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5700With loss 0.1267430099331721
epoch: 5701
Epoch 5701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5701With loss 0.1267430099331721
epoch: 5702
Epoch 5702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5702With loss 0.1267430099331721
epoch: 5703
Epoch 5703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5703With loss 0.1267430099331721
epoch: 5704
Epoch 5704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5704With loss 0.1267430099331721
epoch: 5705
Epoch 5705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5705With loss 0.1267430099331721
epoch: 5706
Epoch 5706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5706With loss 0.1267430099331721
epoch: 5707
Epoch 5707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5707With loss 0.1267430099331721
epoch: 5708
Epoch 5708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5708With loss 0.1267430099331721
epoch: 5709
Epoch 5709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5709With loss 0.1267430099331721
epoch: 5710
Epoch 5710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5710With loss 0.1267430099331721
epoch: 5711
Epoch 5711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5711With loss 0.1267430099331721
epoch: 5712
Epoch 5712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5712With loss 0.1267430099331721
epoch: 5713
Epoch 5713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5713With loss 0.1267430099331721
epoch: 5714
Epoch 5714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5714With loss 0.1267430099331721
epoch: 5715
Epoch 5715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5715With loss 0.1267430099331721
epoch: 5716
Epoch 5716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5716With loss 0.1267430099331721
epoch: 5717
Epoch 5717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5717With loss 0.1267430099331721
epoch: 5718
Epoch 5718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5718With loss 0.1267430099331721
epoch: 5719
Epoch 5719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5719With loss 0.1267430099331721
epoch: 5720
Epoch 5720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5720With loss 0.1267430099331721
epoch: 5721
Epoch 5721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5721With loss 0.1267430099331721
epoch: 5722
Epoch 5722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5722With loss 0.1267430099331721
epoch: 5723
Epoch 5723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5723With loss 0.1267430099331721
epoch: 5724
Epoch 5724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5724With loss 0.1267430099331721
epoch: 5725
Epoch 5725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5725With loss 0.1267430099331721
epoch: 5726
Epoch 5726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5726With loss 0.1267430099331721
epoch: 5727
Epoch 5727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5727With loss 0.1267430099331721
epoch: 5728
Epoch 5728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5728With loss 0.1267430099331721
epoch: 5729
Epoch 5729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5729With loss 0.1267430099331721
epoch: 5730
Epoch 5730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5730With loss 0.1267430099331721
epoch: 5731
Epoch 5731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5731With loss 0.1267430099331721
epoch: 5732
Epoch 5732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5732With loss 0.1267430099331721
epoch: 5733
Epoch 5733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5733With loss 0.1267430099331721
epoch: 5734
Epoch 5734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5734With loss 0.1267430099331721
epoch: 5735
Epoch 5735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5735With loss 0.1267430099331721
epoch: 5736
Epoch 5736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5736With loss 0.1267430099331721
epoch: 5737
Epoch 5737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5737With loss 0.1267430099331721
epoch: 5738
Epoch 5738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5738With loss 0.1267430099331721
epoch: 5739
Epoch 5739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5739With loss 0.1267430099331721
epoch: 5740
Epoch 5740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5740With loss 0.1267430099331721
epoch: 5741
Epoch 5741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5741With loss 0.1267430099331721
epoch: 5742
Epoch 5742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5742With loss 0.1267430099331721
epoch: 5743
Epoch 5743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5743With loss 0.1267430099331721
epoch: 5744
Epoch 5744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5744With loss 0.1267430099331721
epoch: 5745
Epoch 5745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5745With loss 0.1267430099331721
epoch: 5746
Epoch 5746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5746With loss 0.1267430099331721
epoch: 5747
Epoch 5747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5747With loss 0.1267430099331721
epoch: 5748
Epoch 5748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5748With loss 0.1267430099331721
epoch: 5749
Epoch 5749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5749With loss 0.1267430099331721
epoch: 5750
Epoch 5750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5750With loss 0.1267430099331721
epoch: 5751
Epoch 5751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5751With loss 0.1267430099331721
epoch: 5752
Epoch 5752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5752With loss 0.1267430099331721
epoch: 5753
Epoch 5753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5753With loss 0.1267430099331721
epoch: 5754
Epoch 5754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5754With loss 0.1267430099331721
epoch: 5755
Epoch 5755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5755With loss 0.1267430099331721
epoch: 5756
Epoch 5756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5756With loss 0.1267430099331721
epoch: 5757
Epoch 5757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5757With loss 0.1267430099331721
epoch: 5758
Epoch 5758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5758With loss 0.1267430099331721
epoch: 5759
Epoch 5759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5759With loss 0.1267430099331721
epoch: 5760
Epoch 5760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5760With loss 0.1267430099331721
epoch: 5761
Epoch 5761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5761With loss 0.1267430099331721
epoch: 5762
Epoch 5762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5762With loss 0.1267430099331721
epoch: 5763
Epoch 5763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5763With loss 0.1267430099331721
epoch: 5764
Epoch 5764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5764With loss 0.1267430099331721
epoch: 5765
Epoch 5765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5765With loss 0.1267430099331721
epoch: 5766
Epoch 5766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5766With loss 0.1267430099331721
epoch: 5767
Epoch 5767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5767With loss 0.1267430099331721
epoch: 5768
Epoch 5768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5768With loss 0.1267430099331721
epoch: 5769
Epoch 5769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5769With loss 0.1267430099331721
epoch: 5770
Epoch 5770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5770With loss 0.1267430099331721
epoch: 5771
Epoch 5771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5771With loss 0.1267430099331721
epoch: 5772
Epoch 5772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5772With loss 0.1267430099331721
epoch: 5773
Epoch 5773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5773With loss 0.1267430099331721
epoch: 5774
Epoch 5774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5774With loss 0.1267430099331721
epoch: 5775
Epoch 5775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5775With loss 0.1267430099331721
epoch: 5776
Epoch 5776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5776With loss 0.1267430099331721
epoch: 5777
Epoch 5777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5777With loss 0.1267430099331721
epoch: 5778
Epoch 5778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5778With loss 0.1267430099331721
epoch: 5779
Epoch 5779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5779With loss 0.1267430099331721
epoch: 5780
Epoch 5780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5780With loss 0.1267430099331721
epoch: 5781
Epoch 5781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5781With loss 0.1267430099331721
epoch: 5782
Epoch 5782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5782With loss 0.1267430099331721
epoch: 5783
Epoch 5783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5783With loss 0.1267430099331721
epoch: 5784
Epoch 5784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5784With loss 0.1267430099331721
epoch: 5785
Epoch 5785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5785With loss 0.1267430099331721
epoch: 5786
Epoch 5786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5786With loss 0.1267430099331721
epoch: 5787
Epoch 5787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5787With loss 0.1267430099331721
epoch: 5788
Epoch 5788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5788With loss 0.1267430099331721
epoch: 5789
Epoch 5789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5789With loss 0.1267430099331721
epoch: 5790
Epoch 5790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5790With loss 0.1267430099331721
epoch: 5791
Epoch 5791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5791With loss 0.1267430099331721
epoch: 5792
Epoch 5792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5792With loss 0.1267430099331721
epoch: 5793
Epoch 5793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5793With loss 0.1267430099331721
epoch: 5794
Epoch 5794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5794With loss 0.1267430099331721
epoch: 5795
Epoch 5795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5795With loss 0.1267430099331721
epoch: 5796
Epoch 5796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5796With loss 0.1267430099331721
epoch: 5797
Epoch 5797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5797With loss 0.1267430099331721
epoch: 5798
Epoch 5798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5798With loss 0.1267430099331721
epoch: 5799
Epoch 5799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5799With loss 0.1267430099331721
epoch: 5800
Epoch 5800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5800With loss 0.1267430099331721
epoch: 5801
Epoch 5801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5801With loss 0.1267430099331721
epoch: 5802
Epoch 5802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5802With loss 0.1267430099331721
epoch: 5803
Epoch 5803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5803With loss 0.1267430099331721
epoch: 5804
Epoch 5804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5804With loss 0.1267430099331721
epoch: 5805
Epoch 5805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5805With loss 0.1267430099331721
epoch: 5806
Epoch 5806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5806With loss 0.1267430099331721
epoch: 5807
Epoch 5807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5807With loss 0.1267430099331721
epoch: 5808
Epoch 5808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5808With loss 0.1267430099331721
epoch: 5809
Epoch 5809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5809With loss 0.1267430099331721
epoch: 5810
Epoch 5810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5810With loss 0.1267430099331721
epoch: 5811
Epoch 5811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5811With loss 0.1267430099331721
epoch: 5812
Epoch 5812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5812With loss 0.1267430099331721
epoch: 5813
Epoch 5813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5813With loss 0.1267430099331721
epoch: 5814
Epoch 5814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5814With loss 0.1267430099331721
epoch: 5815
Epoch 5815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5815With loss 0.1267430099331721
epoch: 5816
Epoch 5816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5816With loss 0.1267430099331721
epoch: 5817
Epoch 5817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5817With loss 0.1267430099331721
epoch: 5818
Epoch 5818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5818With loss 0.1267430099331721
epoch: 5819
Epoch 5819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5819With loss 0.1267430099331721
epoch: 5820
Epoch 5820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5820With loss 0.1267430099331721
epoch: 5821
Epoch 5821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5821With loss 0.1267430099331721
epoch: 5822
Epoch 5822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5822With loss 0.1267430099331721
epoch: 5823
Epoch 5823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5823With loss 0.1267430099331721
epoch: 5824
Epoch 5824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5824With loss 0.1267430099331721
epoch: 5825
Epoch 5825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5825With loss 0.1267430099331721
epoch: 5826
Epoch 5826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5826With loss 0.1267430099331721
epoch: 5827
Epoch 5827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5827With loss 0.1267430099331721
epoch: 5828
Epoch 5828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5828With loss 0.1267430099331721
epoch: 5829
Epoch 5829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5829With loss 0.1267430099331721
epoch: 5830
Epoch 5830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5830With loss 0.1267430099331721
epoch: 5831
Epoch 5831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5831With loss 0.1267430099331721
epoch: 5832
Epoch 5832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5832With loss 0.1267430099331721
epoch: 5833
Epoch 5833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5833With loss 0.1267430099331721
epoch: 5834
Epoch 5834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5834With loss 0.1267430099331721
epoch: 5835
Epoch 5835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5835With loss 0.1267430099331721
epoch: 5836
Epoch 5836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5836With loss 0.1267430099331721
epoch: 5837
Epoch 5837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5837With loss 0.1267430099331721
epoch: 5838
Epoch 5838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5838With loss 0.1267430099331721
epoch: 5839
Epoch 5839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5839With loss 0.1267430099331721
epoch: 5840
Epoch 5840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5840With loss 0.1267430099331721
epoch: 5841
Epoch 5841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5841With loss 0.1267430099331721
epoch: 5842
Epoch 5842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5842With loss 0.1267430099331721
epoch: 5843
Epoch 5843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5843With loss 0.1267430099331721
epoch: 5844
Epoch 5844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5844With loss 0.1267430099331721
epoch: 5845
Epoch 5845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5845With loss 0.1267430099331721
epoch: 5846
Epoch 5846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5846With loss 0.1267430099331721
epoch: 5847
Epoch 5847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5847With loss 0.1267430099331721
epoch: 5848
Epoch 5848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5848With loss 0.1267430099331721
epoch: 5849
Epoch 5849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5849With loss 0.1267430099331721
epoch: 5850
Epoch 5850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5850With loss 0.1267430099331721
epoch: 5851
Epoch 5851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5851With loss 0.1267430099331721
epoch: 5852
Epoch 5852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5852With loss 0.1267430099331721
epoch: 5853
Epoch 5853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5853With loss 0.1267430099331721
epoch: 5854
Epoch 5854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5854With loss 0.1267430099331721
epoch: 5855
Epoch 5855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5855With loss 0.1267430099331721
epoch: 5856
Epoch 5856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5856With loss 0.1267430099331721
epoch: 5857
Epoch 5857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5857With loss 0.1267430099331721
epoch: 5858
Epoch 5858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5858With loss 0.1267430099331721
epoch: 5859
Epoch 5859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5859With loss 0.1267430099331721
epoch: 5860
Epoch 5860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5860With loss 0.1267430099331721
epoch: 5861
Epoch 5861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5861With loss 0.1267430099331721
epoch: 5862
Epoch 5862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5862With loss 0.1267430099331721
epoch: 5863
Epoch 5863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5863With loss 0.1267430099331721
epoch: 5864
Epoch 5864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5864With loss 0.1267430099331721
epoch: 5865
Epoch 5865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5865With loss 0.1267430099331721
epoch: 5866
Epoch 5866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5866With loss 0.1267430099331721
epoch: 5867
Epoch 5867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5867With loss 0.1267430099331721
epoch: 5868
Epoch 5868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5868With loss 0.1267430099331721
epoch: 5869
Epoch 5869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5869With loss 0.1267430099331721
epoch: 5870
Epoch 5870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5870With loss 0.1267430099331721
epoch: 5871
Epoch 5871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5871With loss 0.1267430099331721
epoch: 5872
Epoch 5872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5872With loss 0.1267430099331721
epoch: 5873
Epoch 5873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5873With loss 0.1267430099331721
epoch: 5874
Epoch 5874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5874With loss 0.1267430099331721
epoch: 5875
Epoch 5875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5875With loss 0.1267430099331721
epoch: 5876
Epoch 5876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5876With loss 0.1267430099331721
epoch: 5877
Epoch 5877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5877With loss 0.1267430099331721
epoch: 5878
Epoch 5878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5878With loss 0.1267430099331721
epoch: 5879
Epoch 5879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5879With loss 0.1267430099331721
epoch: 5880
Epoch 5880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5880With loss 0.1267430099331721
epoch: 5881
Epoch 5881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5881With loss 0.1267430099331721
epoch: 5882
Epoch 5882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5882With loss 0.1267430099331721
epoch: 5883
Epoch 5883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5883With loss 0.1267430099331721
epoch: 5884
Epoch 5884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5884With loss 0.1267430099331721
epoch: 5885
Epoch 5885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5885With loss 0.1267430099331721
epoch: 5886
Epoch 5886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5886With loss 0.1267430099331721
epoch: 5887
Epoch 5887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5887With loss 0.1267430099331721
epoch: 5888
Epoch 5888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5888With loss 0.1267430099331721
epoch: 5889
Epoch 5889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5889With loss 0.1267430099331721
epoch: 5890
Epoch 5890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5890With loss 0.1267430099331721
epoch: 5891
Epoch 5891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5891With loss 0.1267430099331721
epoch: 5892
Epoch 5892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5892With loss 0.1267430099331721
epoch: 5893
Epoch 5893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5893With loss 0.1267430099331721
epoch: 5894
Epoch 5894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5894With loss 0.1267430099331721
epoch: 5895
Epoch 5895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5895With loss 0.1267430099331721
epoch: 5896
Epoch 5896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5896With loss 0.1267430099331721
epoch: 5897
Epoch 5897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5897With loss 0.1267430099331721
epoch: 5898
Epoch 5898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5898With loss 0.1267430099331721
epoch: 5899
Epoch 5899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5899With loss 0.1267430099331721
epoch: 5900
Epoch 5900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5900With loss 0.1267430099331721
epoch: 5901
Epoch 5901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5901With loss 0.1267430099331721
epoch: 5902
Epoch 5902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5902With loss 0.1267430099331721
epoch: 5903
Epoch 5903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5903With loss 0.1267430099331721
epoch: 5904
Epoch 5904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5904With loss 0.1267430099331721
epoch: 5905
Epoch 5905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5905With loss 0.1267430099331721
epoch: 5906
Epoch 5906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5906With loss 0.1267430099331721
epoch: 5907
Epoch 5907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5907With loss 0.1267430099331721
epoch: 5908
Epoch 5908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5908With loss 0.1267430099331721
epoch: 5909
Epoch 5909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5909With loss 0.1267430099331721
epoch: 5910
Epoch 5910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5910With loss 0.1267430099331721
epoch: 5911
Epoch 5911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5911With loss 0.1267430099331721
epoch: 5912
Epoch 5912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5912With loss 0.1267430099331721
epoch: 5913
Epoch 5913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5913With loss 0.1267430099331721
epoch: 5914
Epoch 5914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5914With loss 0.1267430099331721
epoch: 5915
Epoch 5915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5915With loss 0.1267430099331721
epoch: 5916
Epoch 5916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5916With loss 0.1267430099331721
epoch: 5917
Epoch 5917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5917With loss 0.1267430099331721
epoch: 5918
Epoch 5918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5918With loss 0.1267430099331721
epoch: 5919
Epoch 5919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5919With loss 0.1267430099331721
epoch: 5920
Epoch 5920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5920With loss 0.1267430099331721
epoch: 5921
Epoch 5921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5921With loss 0.1267430099331721
epoch: 5922
Epoch 5922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5922With loss 0.1267430099331721
epoch: 5923
Epoch 5923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5923With loss 0.1267430099331721
epoch: 5924
Epoch 5924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5924With loss 0.1267430099331721
epoch: 5925
Epoch 5925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5925With loss 0.1267430099331721
epoch: 5926
Epoch 5926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5926With loss 0.1267430099331721
epoch: 5927
Epoch 5927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5927With loss 0.1267430099331721
epoch: 5928
Epoch 5928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5928With loss 0.1267430099331721
epoch: 5929
Epoch 5929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5929With loss 0.1267430099331721
epoch: 5930
Epoch 5930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5930With loss 0.1267430099331721
epoch: 5931
Epoch 5931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5931With loss 0.1267430099331721
epoch: 5932
Epoch 5932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5932With loss 0.1267430099331721
epoch: 5933
Epoch 5933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5933With loss 0.1267430099331721
epoch: 5934
Epoch 5934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5934With loss 0.1267430099331721
epoch: 5935
Epoch 5935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5935With loss 0.1267430099331721
epoch: 5936
Epoch 5936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5936With loss 0.1267430099331721
epoch: 5937
Epoch 5937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5937With loss 0.1267430099331721
epoch: 5938
Epoch 5938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5938With loss 0.1267430099331721
epoch: 5939
Epoch 5939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5939With loss 0.1267430099331721
epoch: 5940
Epoch 5940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5940With loss 0.1267430099331721
epoch: 5941
Epoch 5941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5941With loss 0.1267430099331721
epoch: 5942
Epoch 5942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5942With loss 0.1267430099331721
epoch: 5943
Epoch 5943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5943With loss 0.1267430099331721
epoch: 5944
Epoch 5944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5944With loss 0.1267430099331721
epoch: 5945
Epoch 5945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5945With loss 0.1267430099331721
epoch: 5946
Epoch 5946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5946With loss 0.1267430099331721
epoch: 5947
Epoch 5947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5947With loss 0.1267430099331721
epoch: 5948
Epoch 5948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5948With loss 0.1267430099331721
epoch: 5949
Epoch 5949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5949With loss 0.1267430099331721
epoch: 5950
Epoch 5950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5950With loss 0.1267430099331721
epoch: 5951
Epoch 5951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5951With loss 0.1267430099331721
epoch: 5952
Epoch 5952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5952With loss 0.1267430099331721
epoch: 5953
Epoch 5953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5953With loss 0.1267430099331721
epoch: 5954
Epoch 5954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5954With loss 0.1267430099331721
epoch: 5955
Epoch 5955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5955With loss 0.1267430099331721
epoch: 5956
Epoch 5956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5956With loss 0.1267430099331721
epoch: 5957
Epoch 5957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5957With loss 0.1267430099331721
epoch: 5958
Epoch 5958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5958With loss 0.1267430099331721
epoch: 5959
Epoch 5959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5959With loss 0.1267430099331721
epoch: 5960
Epoch 5960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5960With loss 0.1267430099331721
epoch: 5961
Epoch 5961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5961With loss 0.1267430099331721
epoch: 5962
Epoch 5962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5962With loss 0.1267430099331721
epoch: 5963
Epoch 5963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5963With loss 0.1267430099331721
epoch: 5964
Epoch 5964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5964With loss 0.1267430099331721
epoch: 5965
Epoch 5965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5965With loss 0.1267430099331721
epoch: 5966
Epoch 5966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5966With loss 0.1267430099331721
epoch: 5967
Epoch 5967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5967With loss 0.1267430099331721
epoch: 5968
Epoch 5968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5968With loss 0.1267430099331721
epoch: 5969
Epoch 5969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5969With loss 0.1267430099331721
epoch: 5970
Epoch 5970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5970With loss 0.1267430099331721
epoch: 5971
Epoch 5971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5971With loss 0.1267430099331721
epoch: 5972
Epoch 5972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5972With loss 0.1267430099331721
epoch: 5973
Epoch 5973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5973With loss 0.1267430099331721
epoch: 5974
Epoch 5974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5974With loss 0.1267430099331721
epoch: 5975
Epoch 5975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5975With loss 0.1267430099331721
epoch: 5976
Epoch 5976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5976With loss 0.1267430099331721
epoch: 5977
Epoch 5977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5977With loss 0.1267430099331721
epoch: 5978
Epoch 5978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5978With loss 0.1267430099331721
epoch: 5979
Epoch 5979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5979With loss 0.1267430099331721
epoch: 5980
Epoch 5980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5980With loss 0.1267430099331721
epoch: 5981
Epoch 5981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5981With loss 0.1267430099331721
epoch: 5982
Epoch 5982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5982With loss 0.1267430099331721
epoch: 5983
Epoch 5983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5983With loss 0.1267430099331721
epoch: 5984
Epoch 5984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5984With loss 0.1267430099331721
epoch: 5985
Epoch 5985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5985With loss 0.1267430099331721
epoch: 5986
Epoch 5986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5986With loss 0.1267430099331721
epoch: 5987
Epoch 5987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5987With loss 0.1267430099331721
epoch: 5988
Epoch 5988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5988With loss 0.1267430099331721
epoch: 5989
Epoch 5989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5989With loss 0.1267430099331721
epoch: 5990
Epoch 5990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5990With loss 0.1267430099331721
epoch: 5991
Epoch 5991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5991With loss 0.1267430099331721
epoch: 5992
Epoch 5992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5992With loss 0.1267430099331721
epoch: 5993
Epoch 5993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5993With loss 0.1267430099331721
epoch: 5994
Epoch 5994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5994With loss 0.1267430099331721
epoch: 5995
Epoch 5995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5995With loss 0.1267430099331721
epoch: 5996
Epoch 5996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5996With loss 0.1267430099331721
epoch: 5997
Epoch 5997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5997With loss 0.1267430099331721
epoch: 5998
Epoch 5998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5998With loss 0.1267430099331721
epoch: 5999
Epoch 5999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 5999With loss 0.1267430099331721
epoch: 6000
Epoch 6000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6000With loss 0.1267430099331721
epoch: 6001
Epoch 6001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6001With loss 0.1267430099331721
epoch: 6002
Epoch 6002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6002With loss 0.1267430099331721
epoch: 6003
Epoch 6003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6003With loss 0.1267430099331721
epoch: 6004
Epoch 6004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6004With loss 0.1267430099331721
epoch: 6005
Epoch 6005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6005With loss 0.1267430099331721
epoch: 6006
Epoch 6006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6006With loss 0.1267430099331721
epoch: 6007
Epoch 6007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6007With loss 0.1267430099331721
epoch: 6008
Epoch 6008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6008With loss 0.1267430099331721
epoch: 6009
Epoch 6009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6009With loss 0.1267430099331721
epoch: 6010
Epoch 6010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6010With loss 0.1267430099331721
epoch: 6011
Epoch 6011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6011With loss 0.1267430099331721
epoch: 6012
Epoch 6012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6012With loss 0.1267430099331721
epoch: 6013
Epoch 6013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6013With loss 0.1267430099331721
epoch: 6014
Epoch 6014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6014With loss 0.1267430099331721
epoch: 6015
Epoch 6015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6015With loss 0.1267430099331721
epoch: 6016
Epoch 6016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6016With loss 0.1267430099331721
epoch: 6017
Epoch 6017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6017With loss 0.1267430099331721
epoch: 6018
Epoch 6018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6018With loss 0.1267430099331721
epoch: 6019
Epoch 6019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6019With loss 0.1267430099331721
epoch: 6020
Epoch 6020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6020With loss 0.1267430099331721
epoch: 6021
Epoch 6021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6021With loss 0.1267430099331721
epoch: 6022
Epoch 6022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6022With loss 0.1267430099331721
epoch: 6023
Epoch 6023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6023With loss 0.1267430099331721
epoch: 6024
Epoch 6024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6024With loss 0.1267430099331721
epoch: 6025
Epoch 6025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6025With loss 0.1267430099331721
epoch: 6026
Epoch 6026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6026With loss 0.1267430099331721
epoch: 6027
Epoch 6027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6027With loss 0.1267430099331721
epoch: 6028
Epoch 6028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6028With loss 0.1267430099331721
epoch: 6029
Epoch 6029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6029With loss 0.1267430099331721
epoch: 6030
Epoch 6030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6030With loss 0.1267430099331721
epoch: 6031
Epoch 6031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6031With loss 0.1267430099331721
epoch: 6032
Epoch 6032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6032With loss 0.1267430099331721
epoch: 6033
Epoch 6033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6033With loss 0.1267430099331721
epoch: 6034
Epoch 6034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6034With loss 0.1267430099331721
epoch: 6035
Epoch 6035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6035With loss 0.1267430099331721
epoch: 6036
Epoch 6036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6036With loss 0.1267430099331721
epoch: 6037
Epoch 6037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6037With loss 0.1267430099331721
epoch: 6038
Epoch 6038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6038With loss 0.1267430099331721
epoch: 6039
Epoch 6039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6039With loss 0.1267430099331721
epoch: 6040
Epoch 6040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6040With loss 0.1267430099331721
epoch: 6041
Epoch 6041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6041With loss 0.1267430099331721
epoch: 6042
Epoch 6042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6042With loss 0.1267430099331721
epoch: 6043
Epoch 6043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6043With loss 0.1267430099331721
epoch: 6044
Epoch 6044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6044With loss 0.1267430099331721
epoch: 6045
Epoch 6045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6045With loss 0.1267430099331721
epoch: 6046
Epoch 6046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6046With loss 0.1267430099331721
epoch: 6047
Epoch 6047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6047With loss 0.1267430099331721
epoch: 6048
Epoch 6048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6048With loss 0.1267430099331721
epoch: 6049
Epoch 6049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6049With loss 0.1267430099331721
epoch: 6050
Epoch 6050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6050With loss 0.1267430099331721
epoch: 6051
Epoch 6051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6051With loss 0.1267430099331721
epoch: 6052
Epoch 6052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6052With loss 0.1267430099331721
epoch: 6053
Epoch 6053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6053With loss 0.1267430099331721
epoch: 6054
Epoch 6054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6054With loss 0.1267430099331721
epoch: 6055
Epoch 6055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6055With loss 0.1267430099331721
epoch: 6056
Epoch 6056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6056With loss 0.1267430099331721
epoch: 6057
Epoch 6057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6057With loss 0.1267430099331721
epoch: 6058
Epoch 6058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6058With loss 0.1267430099331721
epoch: 6059
Epoch 6059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6059With loss 0.1267430099331721
epoch: 6060
Epoch 6060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6060With loss 0.1267430099331721
epoch: 6061
Epoch 6061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6061With loss 0.1267430099331721
epoch: 6062
Epoch 6062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6062With loss 0.1267430099331721
epoch: 6063
Epoch 6063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6063With loss 0.1267430099331721
epoch: 6064
Epoch 6064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6064With loss 0.1267430099331721
epoch: 6065
Epoch 6065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6065With loss 0.1267430099331721
epoch: 6066
Epoch 6066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6066With loss 0.1267430099331721
epoch: 6067
Epoch 6067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6067With loss 0.1267430099331721
epoch: 6068
Epoch 6068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6068With loss 0.1267430099331721
epoch: 6069
Epoch 6069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6069With loss 0.1267430099331721
epoch: 6070
Epoch 6070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6070With loss 0.1267430099331721
epoch: 6071
Epoch 6071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6071With loss 0.1267430099331721
epoch: 6072
Epoch 6072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6072With loss 0.1267430099331721
epoch: 6073
Epoch 6073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6073With loss 0.1267430099331721
epoch: 6074
Epoch 6074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6074With loss 0.1267430099331721
epoch: 6075
Epoch 6075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6075With loss 0.1267430099331721
epoch: 6076
Epoch 6076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6076With loss 0.1267430099331721
epoch: 6077
Epoch 6077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6077With loss 0.1267430099331721
epoch: 6078
Epoch 6078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6078With loss 0.1267430099331721
epoch: 6079
Epoch 6079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6079With loss 0.1267430099331721
epoch: 6080
Epoch 6080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6080With loss 0.1267430099331721
epoch: 6081
Epoch 6081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6081With loss 0.1267430099331721
epoch: 6082
Epoch 6082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6082With loss 0.1267430099331721
epoch: 6083
Epoch 6083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6083With loss 0.1267430099331721
epoch: 6084
Epoch 6084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6084With loss 0.1267430099331721
epoch: 6085
Epoch 6085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6085With loss 0.1267430099331721
epoch: 6086
Epoch 6086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6086With loss 0.1267430099331721
epoch: 6087
Epoch 6087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6087With loss 0.1267430099331721
epoch: 6088
Epoch 6088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6088With loss 0.1267430099331721
epoch: 6089
Epoch 6089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6089With loss 0.1267430099331721
epoch: 6090
Epoch 6090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6090With loss 0.1267430099331721
epoch: 6091
Epoch 6091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6091With loss 0.1267430099331721
epoch: 6092
Epoch 6092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6092With loss 0.1267430099331721
epoch: 6093
Epoch 6093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6093With loss 0.1267430099331721
epoch: 6094
Epoch 6094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6094With loss 0.1267430099331721
epoch: 6095
Epoch 6095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6095With loss 0.1267430099331721
epoch: 6096
Epoch 6096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6096With loss 0.1267430099331721
epoch: 6097
Epoch 6097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6097With loss 0.1267430099331721
epoch: 6098
Epoch 6098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6098With loss 0.1267430099331721
epoch: 6099
Epoch 6099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6099With loss 0.1267430099331721
epoch: 6100
Epoch 6100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6100With loss 0.1267430099331721
epoch: 6101
Epoch 6101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6101With loss 0.1267430099331721
epoch: 6102
Epoch 6102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6102With loss 0.1267430099331721
epoch: 6103
Epoch 6103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6103With loss 0.1267430099331721
epoch: 6104
Epoch 6104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6104With loss 0.1267430099331721
epoch: 6105
Epoch 6105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6105With loss 0.1267430099331721
epoch: 6106
Epoch 6106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6106With loss 0.1267430099331721
epoch: 6107
Epoch 6107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6107With loss 0.1267430099331721
epoch: 6108
Epoch 6108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6108With loss 0.1267430099331721
epoch: 6109
Epoch 6109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6109With loss 0.1267430099331721
epoch: 6110
Epoch 6110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6110With loss 0.1267430099331721
epoch: 6111
Epoch 6111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6111With loss 0.1267430099331721
epoch: 6112
Epoch 6112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6112With loss 0.1267430099331721
epoch: 6113
Epoch 6113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6113With loss 0.1267430099331721
epoch: 6114
Epoch 6114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6114With loss 0.1267430099331721
epoch: 6115
Epoch 6115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6115With loss 0.1267430099331721
epoch: 6116
Epoch 6116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6116With loss 0.1267430099331721
epoch: 6117
Epoch 6117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6117With loss 0.1267430099331721
epoch: 6118
Epoch 6118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6118With loss 0.1267430099331721
epoch: 6119
Epoch 6119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6119With loss 0.1267430099331721
epoch: 6120
Epoch 6120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6120With loss 0.1267430099331721
epoch: 6121
Epoch 6121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6121With loss 0.1267430099331721
epoch: 6122
Epoch 6122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6122With loss 0.1267430099331721
epoch: 6123
Epoch 6123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6123With loss 0.1267430099331721
epoch: 6124
Epoch 6124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6124With loss 0.1267430099331721
epoch: 6125
Epoch 6125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6125With loss 0.1267430099331721
epoch: 6126
Epoch 6126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6126With loss 0.1267430099331721
epoch: 6127
Epoch 6127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6127With loss 0.1267430099331721
epoch: 6128
Epoch 6128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6128With loss 0.1267430099331721
epoch: 6129
Epoch 6129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6129With loss 0.1267430099331721
epoch: 6130
Epoch 6130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6130With loss 0.1267430099331721
epoch: 6131
Epoch 6131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6131With loss 0.1267430099331721
epoch: 6132
Epoch 6132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6132With loss 0.1267430099331721
epoch: 6133
Epoch 6133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6133With loss 0.1267430099331721
epoch: 6134
Epoch 6134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6134With loss 0.1267430099331721
epoch: 6135
Epoch 6135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6135With loss 0.1267430099331721
epoch: 6136
Epoch 6136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6136With loss 0.1267430099331721
epoch: 6137
Epoch 6137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6137With loss 0.1267430099331721
epoch: 6138
Epoch 6138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6138With loss 0.1267430099331721
epoch: 6139
Epoch 6139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6139With loss 0.1267430099331721
epoch: 6140
Epoch 6140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6140With loss 0.1267430099331721
epoch: 6141
Epoch 6141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6141With loss 0.1267430099331721
epoch: 6142
Epoch 6142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6142With loss 0.1267430099331721
epoch: 6143
Epoch 6143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6143With loss 0.1267430099331721
epoch: 6144
Epoch 6144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6144With loss 0.1267430099331721
epoch: 6145
Epoch 6145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6145With loss 0.1267430099331721
epoch: 6146
Epoch 6146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6146With loss 0.1267430099331721
epoch: 6147
Epoch 6147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6147With loss 0.1267430099331721
epoch: 6148
Epoch 6148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6148With loss 0.1267430099331721
epoch: 6149
Epoch 6149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6149With loss 0.1267430099331721
epoch: 6150
Epoch 6150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6150With loss 0.1267430099331721
epoch: 6151
Epoch 6151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6151With loss 0.1267430099331721
epoch: 6152
Epoch 6152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6152With loss 0.1267430099331721
epoch: 6153
Epoch 6153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6153With loss 0.1267430099331721
epoch: 6154
Epoch 6154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6154With loss 0.1267430099331721
epoch: 6155
Epoch 6155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6155With loss 0.1267430099331721
epoch: 6156
Epoch 6156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6156With loss 0.1267430099331721
epoch: 6157
Epoch 6157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6157With loss 0.1267430099331721
epoch: 6158
Epoch 6158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6158With loss 0.1267430099331721
epoch: 6159
Epoch 6159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6159With loss 0.1267430099331721
epoch: 6160
Epoch 6160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6160With loss 0.1267430099331721
epoch: 6161
Epoch 6161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6161With loss 0.1267430099331721
epoch: 6162
Epoch 6162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6162With loss 0.1267430099331721
epoch: 6163
Epoch 6163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6163With loss 0.1267430099331721
epoch: 6164
Epoch 6164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6164With loss 0.1267430099331721
epoch: 6165
Epoch 6165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6165With loss 0.1267430099331721
epoch: 6166
Epoch 6166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6166With loss 0.1267430099331721
epoch: 6167
Epoch 6167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6167With loss 0.1267430099331721
epoch: 6168
Epoch 6168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6168With loss 0.1267430099331721
epoch: 6169
Epoch 6169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6169With loss 0.1267430099331721
epoch: 6170
Epoch 6170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6170With loss 0.1267430099331721
epoch: 6171
Epoch 6171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6171With loss 0.1267430099331721
epoch: 6172
Epoch 6172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6172With loss 0.1267430099331721
epoch: 6173
Epoch 6173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6173With loss 0.1267430099331721
epoch: 6174
Epoch 6174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6174With loss 0.1267430099331721
epoch: 6175
Epoch 6175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6175With loss 0.1267430099331721
epoch: 6176
Epoch 6176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6176With loss 0.1267430099331721
epoch: 6177
Epoch 6177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6177With loss 0.1267430099331721
epoch: 6178
Epoch 6178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6178With loss 0.1267430099331721
epoch: 6179
Epoch 6179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6179With loss 0.1267430099331721
epoch: 6180
Epoch 6180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6180With loss 0.1267430099331721
epoch: 6181
Epoch 6181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6181With loss 0.1267430099331721
epoch: 6182
Epoch 6182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6182With loss 0.1267430099331721
epoch: 6183
Epoch 6183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6183With loss 0.1267430099331721
epoch: 6184
Epoch 6184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6184With loss 0.1267430099331721
epoch: 6185
Epoch 6185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6185With loss 0.1267430099331721
epoch: 6186
Epoch 6186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6186With loss 0.1267430099331721
epoch: 6187
Epoch 6187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6187With loss 0.1267430099331721
epoch: 6188
Epoch 6188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6188With loss 0.1267430099331721
epoch: 6189
Epoch 6189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6189With loss 0.1267430099331721
epoch: 6190
Epoch 6190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6190With loss 0.1267430099331721
epoch: 6191
Epoch 6191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6191With loss 0.1267430099331721
epoch: 6192
Epoch 6192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6192With loss 0.1267430099331721
epoch: 6193
Epoch 6193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6193With loss 0.1267430099331721
epoch: 6194
Epoch 6194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6194With loss 0.1267430099331721
epoch: 6195
Epoch 6195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6195With loss 0.1267430099331721
epoch: 6196
Epoch 6196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6196With loss 0.1267430099331721
epoch: 6197
Epoch 6197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6197With loss 0.1267430099331721
epoch: 6198
Epoch 6198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6198With loss 0.1267430099331721
epoch: 6199
Epoch 6199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6199With loss 0.1267430099331721
epoch: 6200
Epoch 6200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6200With loss 0.1267430099331721
epoch: 6201
Epoch 6201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6201With loss 0.1267430099331721
epoch: 6202
Epoch 6202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6202With loss 0.1267430099331721
epoch: 6203
Epoch 6203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6203With loss 0.1267430099331721
epoch: 6204
Epoch 6204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6204With loss 0.1267430099331721
epoch: 6205
Epoch 6205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6205With loss 0.1267430099331721
epoch: 6206
Epoch 6206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6206With loss 0.1267430099331721
epoch: 6207
Epoch 6207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6207With loss 0.1267430099331721
epoch: 6208
Epoch 6208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6208With loss 0.1267430099331721
epoch: 6209
Epoch 6209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6209With loss 0.1267430099331721
epoch: 6210
Epoch 6210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6210With loss 0.1267430099331721
epoch: 6211
Epoch 6211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6211With loss 0.1267430099331721
epoch: 6212
Epoch 6212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6212With loss 0.1267430099331721
epoch: 6213
Epoch 6213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6213With loss 0.1267430099331721
epoch: 6214
Epoch 6214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6214With loss 0.1267430099331721
epoch: 6215
Epoch 6215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6215With loss 0.1267430099331721
epoch: 6216
Epoch 6216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6216With loss 0.1267430099331721
epoch: 6217
Epoch 6217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6217With loss 0.1267430099331721
epoch: 6218
Epoch 6218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6218With loss 0.1267430099331721
epoch: 6219
Epoch 6219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6219With loss 0.1267430099331721
epoch: 6220
Epoch 6220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6220With loss 0.1267430099331721
epoch: 6221
Epoch 6221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6221With loss 0.1267430099331721
epoch: 6222
Epoch 6222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6222With loss 0.1267430099331721
epoch: 6223
Epoch 6223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6223With loss 0.1267430099331721
epoch: 6224
Epoch 6224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6224With loss 0.1267430099331721
epoch: 6225
Epoch 6225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6225With loss 0.1267430099331721
epoch: 6226
Epoch 6226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6226With loss 0.1267430099331721
epoch: 6227
Epoch 6227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6227With loss 0.1267430099331721
epoch: 6228
Epoch 6228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6228With loss 0.1267430099331721
epoch: 6229
Epoch 6229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6229With loss 0.1267430099331721
epoch: 6230
Epoch 6230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6230With loss 0.1267430099331721
epoch: 6231
Epoch 6231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6231With loss 0.1267430099331721
epoch: 6232
Epoch 6232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6232With loss 0.1267430099331721
epoch: 6233
Epoch 6233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6233With loss 0.1267430099331721
epoch: 6234
Epoch 6234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6234With loss 0.1267430099331721
epoch: 6235
Epoch 6235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6235With loss 0.1267430099331721
epoch: 6236
Epoch 6236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6236With loss 0.1267430099331721
epoch: 6237
Epoch 6237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6237With loss 0.1267430099331721
epoch: 6238
Epoch 6238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6238With loss 0.1267430099331721
epoch: 6239
Epoch 6239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6239With loss 0.1267430099331721
epoch: 6240
Epoch 6240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6240With loss 0.1267430099331721
epoch: 6241
Epoch 6241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6241With loss 0.1267430099331721
epoch: 6242
Epoch 6242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6242With loss 0.1267430099331721
epoch: 6243
Epoch 6243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6243With loss 0.1267430099331721
epoch: 6244
Epoch 6244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6244With loss 0.1267430099331721
epoch: 6245
Epoch 6245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6245With loss 0.1267430099331721
epoch: 6246
Epoch 6246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6246With loss 0.1267430099331721
epoch: 6247
Epoch 6247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6247With loss 0.1267430099331721
epoch: 6248
Epoch 6248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6248With loss 0.1267430099331721
epoch: 6249
Epoch 6249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6249With loss 0.1267430099331721
epoch: 6250
Epoch 6250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6250With loss 0.1267430099331721
epoch: 6251
Epoch 6251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6251With loss 0.1267430099331721
epoch: 6252
Epoch 6252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6252With loss 0.1267430099331721
epoch: 6253
Epoch 6253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6253With loss 0.1267430099331721
epoch: 6254
Epoch 6254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6254With loss 0.1267430099331721
epoch: 6255
Epoch 6255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6255With loss 0.1267430099331721
epoch: 6256
Epoch 6256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6256With loss 0.1267430099331721
epoch: 6257
Epoch 6257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6257With loss 0.1267430099331721
epoch: 6258
Epoch 6258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6258With loss 0.1267430099331721
epoch: 6259
Epoch 6259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6259With loss 0.1267430099331721
epoch: 6260
Epoch 6260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6260With loss 0.1267430099331721
epoch: 6261
Epoch 6261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6261With loss 0.1267430099331721
epoch: 6262
Epoch 6262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6262With loss 0.1267430099331721
epoch: 6263
Epoch 6263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6263With loss 0.1267430099331721
epoch: 6264
Epoch 6264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6264With loss 0.1267430099331721
epoch: 6265
Epoch 6265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6265With loss 0.1267430099331721
epoch: 6266
Epoch 6266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6266With loss 0.1267430099331721
epoch: 6267
Epoch 6267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6267With loss 0.1267430099331721
epoch: 6268
Epoch 6268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6268With loss 0.1267430099331721
epoch: 6269
Epoch 6269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6269With loss 0.1267430099331721
epoch: 6270
Epoch 6270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6270With loss 0.1267430099331721
epoch: 6271
Epoch 6271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6271With loss 0.1267430099331721
epoch: 6272
Epoch 6272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6272With loss 0.1267430099331721
epoch: 6273
Epoch 6273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6273With loss 0.1267430099331721
epoch: 6274
Epoch 6274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6274With loss 0.1267430099331721
epoch: 6275
Epoch 6275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6275With loss 0.1267430099331721
epoch: 6276
Epoch 6276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6276With loss 0.1267430099331721
epoch: 6277
Epoch 6277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6277With loss 0.1267430099331721
epoch: 6278
Epoch 6278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6278With loss 0.1267430099331721
epoch: 6279
Epoch 6279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6279With loss 0.1267430099331721
epoch: 6280
Epoch 6280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6280With loss 0.1267430099331721
epoch: 6281
Epoch 6281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6281With loss 0.1267430099331721
epoch: 6282
Epoch 6282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6282With loss 0.1267430099331721
epoch: 6283
Epoch 6283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6283With loss 0.1267430099331721
epoch: 6284
Epoch 6284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6284With loss 0.1267430099331721
epoch: 6285
Epoch 6285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6285With loss 0.1267430099331721
epoch: 6286
Epoch 6286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6286With loss 0.1267430099331721
epoch: 6287
Epoch 6287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6287With loss 0.1267430099331721
epoch: 6288
Epoch 6288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6288With loss 0.1267430099331721
epoch: 6289
Epoch 6289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6289With loss 0.1267430099331721
epoch: 6290
Epoch 6290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6290With loss 0.1267430099331721
epoch: 6291
Epoch 6291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6291With loss 0.1267430099331721
epoch: 6292
Epoch 6292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6292With loss 0.1267430099331721
epoch: 6293
Epoch 6293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6293With loss 0.1267430099331721
epoch: 6294
Epoch 6294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6294With loss 0.1267430099331721
epoch: 6295
Epoch 6295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6295With loss 0.1267430099331721
epoch: 6296
Epoch 6296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6296With loss 0.1267430099331721
epoch: 6297
Epoch 6297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6297With loss 0.1267430099331721
epoch: 6298
Epoch 6298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6298With loss 0.1267430099331721
epoch: 6299
Epoch 6299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6299With loss 0.1267430099331721
epoch: 6300
Epoch 6300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6300With loss 0.1267430099331721
epoch: 6301
Epoch 6301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6301With loss 0.1267430099331721
epoch: 6302
Epoch 6302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6302With loss 0.1267430099331721
epoch: 6303
Epoch 6303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6303With loss 0.1267430099331721
epoch: 6304
Epoch 6304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6304With loss 0.1267430099331721
epoch: 6305
Epoch 6305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6305With loss 0.1267430099331721
epoch: 6306
Epoch 6306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6306With loss 0.1267430099331721
epoch: 6307
Epoch 6307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6307With loss 0.1267430099331721
epoch: 6308
Epoch 6308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6308With loss 0.1267430099331721
epoch: 6309
Epoch 6309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6309With loss 0.1267430099331721
epoch: 6310
Epoch 6310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6310With loss 0.1267430099331721
epoch: 6311
Epoch 6311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6311With loss 0.1267430099331721
epoch: 6312
Epoch 6312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6312With loss 0.1267430099331721
epoch: 6313
Epoch 6313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6313With loss 0.1267430099331721
epoch: 6314
Epoch 6314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6314With loss 0.1267430099331721
epoch: 6315
Epoch 6315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6315With loss 0.1267430099331721
epoch: 6316
Epoch 6316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6316With loss 0.1267430099331721
epoch: 6317
Epoch 6317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6317With loss 0.1267430099331721
epoch: 6318
Epoch 6318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6318With loss 0.1267430099331721
epoch: 6319
Epoch 6319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6319With loss 0.1267430099331721
epoch: 6320
Epoch 6320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6320With loss 0.1267430099331721
epoch: 6321
Epoch 6321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6321With loss 0.1267430099331721
epoch: 6322
Epoch 6322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6322With loss 0.1267430099331721
epoch: 6323
Epoch 6323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6323With loss 0.1267430099331721
epoch: 6324
Epoch 6324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6324With loss 0.1267430099331721
epoch: 6325
Epoch 6325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6325With loss 0.1267430099331721
epoch: 6326
Epoch 6326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6326With loss 0.1267430099331721
epoch: 6327
Epoch 6327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6327With loss 0.1267430099331721
epoch: 6328
Epoch 6328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6328With loss 0.1267430099331721
epoch: 6329
Epoch 6329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6329With loss 0.1267430099331721
epoch: 6330
Epoch 6330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6330With loss 0.1267430099331721
epoch: 6331
Epoch 6331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6331With loss 0.1267430099331721
epoch: 6332
Epoch 6332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6332With loss 0.1267430099331721
epoch: 6333
Epoch 6333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6333With loss 0.1267430099331721
epoch: 6334
Epoch 6334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6334With loss 0.1267430099331721
epoch: 6335
Epoch 6335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6335With loss 0.1267430099331721
epoch: 6336
Epoch 6336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6336With loss 0.1267430099331721
epoch: 6337
Epoch 6337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6337With loss 0.1267430099331721
epoch: 6338
Epoch 6338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6338With loss 0.1267430099331721
epoch: 6339
Epoch 6339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6339With loss 0.1267430099331721
epoch: 6340
Epoch 6340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6340With loss 0.1267430099331721
epoch: 6341
Epoch 6341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6341With loss 0.1267430099331721
epoch: 6342
Epoch 6342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6342With loss 0.1267430099331721
epoch: 6343
Epoch 6343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6343With loss 0.1267430099331721
epoch: 6344
Epoch 6344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6344With loss 0.1267430099331721
epoch: 6345
Epoch 6345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6345With loss 0.1267430099331721
epoch: 6346
Epoch 6346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6346With loss 0.1267430099331721
epoch: 6347
Epoch 6347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6347With loss 0.1267430099331721
epoch: 6348
Epoch 6348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6348With loss 0.1267430099331721
epoch: 6349
Epoch 6349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6349With loss 0.1267430099331721
epoch: 6350
Epoch 6350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6350With loss 0.1267430099331721
epoch: 6351
Epoch 6351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6351With loss 0.1267430099331721
epoch: 6352
Epoch 6352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6352With loss 0.1267430099331721
epoch: 6353
Epoch 6353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6353With loss 0.1267430099331721
epoch: 6354
Epoch 6354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6354With loss 0.1267430099331721
epoch: 6355
Epoch 6355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6355With loss 0.1267430099331721
epoch: 6356
Epoch 6356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6356With loss 0.1267430099331721
epoch: 6357
Epoch 6357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6357With loss 0.1267430099331721
epoch: 6358
Epoch 6358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6358With loss 0.1267430099331721
epoch: 6359
Epoch 6359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6359With loss 0.1267430099331721
epoch: 6360
Epoch 6360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6360With loss 0.1267430099331721
epoch: 6361
Epoch 6361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6361With loss 0.1267430099331721
epoch: 6362
Epoch 6362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6362With loss 0.1267430099331721
epoch: 6363
Epoch 6363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6363With loss 0.1267430099331721
epoch: 6364
Epoch 6364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6364With loss 0.1267430099331721
epoch: 6365
Epoch 6365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6365With loss 0.1267430099331721
epoch: 6366
Epoch 6366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6366With loss 0.1267430099331721
epoch: 6367
Epoch 6367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6367With loss 0.1267430099331721
epoch: 6368
Epoch 6368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6368With loss 0.1267430099331721
epoch: 6369
Epoch 6369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6369With loss 0.1267430099331721
epoch: 6370
Epoch 6370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6370With loss 0.1267430099331721
epoch: 6371
Epoch 6371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6371With loss 0.1267430099331721
epoch: 6372
Epoch 6372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6372With loss 0.1267430099331721
epoch: 6373
Epoch 6373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6373With loss 0.1267430099331721
epoch: 6374
Epoch 6374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6374With loss 0.1267430099331721
epoch: 6375
Epoch 6375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6375With loss 0.1267430099331721
epoch: 6376
Epoch 6376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6376With loss 0.1267430099331721
epoch: 6377
Epoch 6377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6377With loss 0.1267430099331721
epoch: 6378
Epoch 6378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6378With loss 0.1267430099331721
epoch: 6379
Epoch 6379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6379With loss 0.1267430099331721
epoch: 6380
Epoch 6380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6380With loss 0.1267430099331721
epoch: 6381
Epoch 6381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6381With loss 0.1267430099331721
epoch: 6382
Epoch 6382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6382With loss 0.1267430099331721
epoch: 6383
Epoch 6383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6383With loss 0.1267430099331721
epoch: 6384
Epoch 6384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6384With loss 0.1267430099331721
epoch: 6385
Epoch 6385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6385With loss 0.1267430099331721
epoch: 6386
Epoch 6386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6386With loss 0.1267430099331721
epoch: 6387
Epoch 6387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6387With loss 0.1267430099331721
epoch: 6388
Epoch 6388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6388With loss 0.1267430099331721
epoch: 6389
Epoch 6389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6389With loss 0.1267430099331721
epoch: 6390
Epoch 6390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6390With loss 0.1267430099331721
epoch: 6391
Epoch 6391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6391With loss 0.1267430099331721
epoch: 6392
Epoch 6392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6392With loss 0.1267430099331721
epoch: 6393
Epoch 6393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6393With loss 0.1267430099331721
epoch: 6394
Epoch 6394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6394With loss 0.1267430099331721
epoch: 6395
Epoch 6395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6395With loss 0.1267430099331721
epoch: 6396
Epoch 6396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6396With loss 0.1267430099331721
epoch: 6397
Epoch 6397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6397With loss 0.1267430099331721
epoch: 6398
Epoch 6398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6398With loss 0.1267430099331721
epoch: 6399
Epoch 6399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6399With loss 0.1267430099331721
epoch: 6400
Epoch 6400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6400With loss 0.1267430099331721
epoch: 6401
Epoch 6401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6401With loss 0.1267430099331721
epoch: 6402
Epoch 6402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6402With loss 0.1267430099331721
epoch: 6403
Epoch 6403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6403With loss 0.1267430099331721
epoch: 6404
Epoch 6404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6404With loss 0.1267430099331721
epoch: 6405
Epoch 6405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6405With loss 0.1267430099331721
epoch: 6406
Epoch 6406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6406With loss 0.1267430099331721
epoch: 6407
Epoch 6407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6407With loss 0.1267430099331721
epoch: 6408
Epoch 6408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6408With loss 0.1267430099331721
epoch: 6409
Epoch 6409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6409With loss 0.1267430099331721
epoch: 6410
Epoch 6410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6410With loss 0.1267430099331721
epoch: 6411
Epoch 6411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6411With loss 0.1267430099331721
epoch: 6412
Epoch 6412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6412With loss 0.1267430099331721
epoch: 6413
Epoch 6413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6413With loss 0.1267430099331721
epoch: 6414
Epoch 6414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6414With loss 0.1267430099331721
epoch: 6415
Epoch 6415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6415With loss 0.1267430099331721
epoch: 6416
Epoch 6416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6416With loss 0.1267430099331721
epoch: 6417
Epoch 6417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6417With loss 0.1267430099331721
epoch: 6418
Epoch 6418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6418With loss 0.1267430099331721
epoch: 6419
Epoch 6419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6419With loss 0.1267430099331721
epoch: 6420
Epoch 6420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6420With loss 0.1267430099331721
epoch: 6421
Epoch 6421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6421With loss 0.1267430099331721
epoch: 6422
Epoch 6422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6422With loss 0.1267430099331721
epoch: 6423
Epoch 6423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6423With loss 0.1267430099331721
epoch: 6424
Epoch 6424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6424With loss 0.1267430099331721
epoch: 6425
Epoch 6425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6425With loss 0.1267430099331721
epoch: 6426
Epoch 6426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6426With loss 0.1267430099331721
epoch: 6427
Epoch 6427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6427With loss 0.1267430099331721
epoch: 6428
Epoch 6428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6428With loss 0.1267430099331721
epoch: 6429
Epoch 6429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6429With loss 0.1267430099331721
epoch: 6430
Epoch 6430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6430With loss 0.1267430099331721
epoch: 6431
Epoch 6431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6431With loss 0.1267430099331721
epoch: 6432
Epoch 6432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6432With loss 0.1267430099331721
epoch: 6433
Epoch 6433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6433With loss 0.1267430099331721
epoch: 6434
Epoch 6434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6434With loss 0.1267430099331721
epoch: 6435
Epoch 6435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6435With loss 0.1267430099331721
epoch: 6436
Epoch 6436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6436With loss 0.1267430099331721
epoch: 6437
Epoch 6437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6437With loss 0.1267430099331721
epoch: 6438
Epoch 6438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6438With loss 0.1267430099331721
epoch: 6439
Epoch 6439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6439With loss 0.1267430099331721
epoch: 6440
Epoch 6440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6440With loss 0.1267430099331721
epoch: 6441
Epoch 6441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6441With loss 0.1267430099331721
epoch: 6442
Epoch 6442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6442With loss 0.1267430099331721
epoch: 6443
Epoch 6443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6443With loss 0.1267430099331721
epoch: 6444
Epoch 6444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6444With loss 0.1267430099331721
epoch: 6445
Epoch 6445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6445With loss 0.1267430099331721
epoch: 6446
Epoch 6446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6446With loss 0.1267430099331721
epoch: 6447
Epoch 6447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6447With loss 0.1267430099331721
epoch: 6448
Epoch 6448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6448With loss 0.1267430099331721
epoch: 6449
Epoch 6449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6449With loss 0.1267430099331721
epoch: 6450
Epoch 6450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6450With loss 0.1267430099331721
epoch: 6451
Epoch 6451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6451With loss 0.1267430099331721
epoch: 6452
Epoch 6452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6452With loss 0.1267430099331721
epoch: 6453
Epoch 6453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6453With loss 0.1267430099331721
epoch: 6454
Epoch 6454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6454With loss 0.1267430099331721
epoch: 6455
Epoch 6455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6455With loss 0.1267430099331721
epoch: 6456
Epoch 6456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6456With loss 0.1267430099331721
epoch: 6457
Epoch 6457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6457With loss 0.1267430099331721
epoch: 6458
Epoch 6458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6458With loss 0.1267430099331721
epoch: 6459
Epoch 6459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6459With loss 0.1267430099331721
epoch: 6460
Epoch 6460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6460With loss 0.1267430099331721
epoch: 6461
Epoch 6461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6461With loss 0.1267430099331721
epoch: 6462
Epoch 6462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6462With loss 0.1267430099331721
epoch: 6463
Epoch 6463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6463With loss 0.1267430099331721
epoch: 6464
Epoch 6464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6464With loss 0.1267430099331721
epoch: 6465
Epoch 6465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6465With loss 0.1267430099331721
epoch: 6466
Epoch 6466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6466With loss 0.1267430099331721
epoch: 6467
Epoch 6467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6467With loss 0.1267430099331721
epoch: 6468
Epoch 6468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6468With loss 0.1267430099331721
epoch: 6469
Epoch 6469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6469With loss 0.1267430099331721
epoch: 6470
Epoch 6470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6470With loss 0.1267430099331721
epoch: 6471
Epoch 6471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6471With loss 0.1267430099331721
epoch: 6472
Epoch 6472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6472With loss 0.1267430099331721
epoch: 6473
Epoch 6473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6473With loss 0.1267430099331721
epoch: 6474
Epoch 6474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6474With loss 0.1267430099331721
epoch: 6475
Epoch 6475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6475With loss 0.1267430099331721
epoch: 6476
Epoch 6476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6476With loss 0.1267430099331721
epoch: 6477
Epoch 6477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6477With loss 0.1267430099331721
epoch: 6478
Epoch 6478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6478With loss 0.1267430099331721
epoch: 6479
Epoch 6479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6479With loss 0.1267430099331721
epoch: 6480
Epoch 6480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6480With loss 0.1267430099331721
epoch: 6481
Epoch 6481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6481With loss 0.1267430099331721
epoch: 6482
Epoch 6482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6482With loss 0.1267430099331721
epoch: 6483
Epoch 6483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6483With loss 0.1267430099331721
epoch: 6484
Epoch 6484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6484With loss 0.1267430099331721
epoch: 6485
Epoch 6485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6485With loss 0.1267430099331721
epoch: 6486
Epoch 6486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6486With loss 0.1267430099331721
epoch: 6487
Epoch 6487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6487With loss 0.1267430099331721
epoch: 6488
Epoch 6488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6488With loss 0.1267430099331721
epoch: 6489
Epoch 6489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6489With loss 0.1267430099331721
epoch: 6490
Epoch 6490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6490With loss 0.1267430099331721
epoch: 6491
Epoch 6491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6491With loss 0.1267430099331721
epoch: 6492
Epoch 6492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6492With loss 0.1267430099331721
epoch: 6493
Epoch 6493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6493With loss 0.1267430099331721
epoch: 6494
Epoch 6494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6494With loss 0.1267430099331721
epoch: 6495
Epoch 6495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6495With loss 0.1267430099331721
epoch: 6496
Epoch 6496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6496With loss 0.1267430099331721
epoch: 6497
Epoch 6497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6497With loss 0.1267430099331721
epoch: 6498
Epoch 6498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6498With loss 0.1267430099331721
epoch: 6499
Epoch 6499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6499With loss 0.1267430099331721
epoch: 6500
Epoch 6500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6500With loss 0.1267430099331721
epoch: 6501
Epoch 6501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6501With loss 0.1267430099331721
epoch: 6502
Epoch 6502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6502With loss 0.1267430099331721
epoch: 6503
Epoch 6503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6503With loss 0.1267430099331721
epoch: 6504
Epoch 6504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6504With loss 0.1267430099331721
epoch: 6505
Epoch 6505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6505With loss 0.1267430099331721
epoch: 6506
Epoch 6506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6506With loss 0.1267430099331721
epoch: 6507
Epoch 6507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6507With loss 0.1267430099331721
epoch: 6508
Epoch 6508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6508With loss 0.1267430099331721
epoch: 6509
Epoch 6509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6509With loss 0.1267430099331721
epoch: 6510
Epoch 6510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6510With loss 0.1267430099331721
epoch: 6511
Epoch 6511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6511With loss 0.1267430099331721
epoch: 6512
Epoch 6512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6512With loss 0.1267430099331721
epoch: 6513
Epoch 6513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6513With loss 0.1267430099331721
epoch: 6514
Epoch 6514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6514With loss 0.1267430099331721
epoch: 6515
Epoch 6515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6515With loss 0.1267430099331721
epoch: 6516
Epoch 6516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6516With loss 0.1267430099331721
epoch: 6517
Epoch 6517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6517With loss 0.1267430099331721
epoch: 6518
Epoch 6518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6518With loss 0.1267430099331721
epoch: 6519
Epoch 6519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6519With loss 0.1267430099331721
epoch: 6520
Epoch 6520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6520With loss 0.1267430099331721
epoch: 6521
Epoch 6521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6521With loss 0.1267430099331721
epoch: 6522
Epoch 6522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6522With loss 0.1267430099331721
epoch: 6523
Epoch 6523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6523With loss 0.1267430099331721
epoch: 6524
Epoch 6524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6524With loss 0.1267430099331721
epoch: 6525
Epoch 6525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6525With loss 0.1267430099331721
epoch: 6526
Epoch 6526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6526With loss 0.1267430099331721
epoch: 6527
Epoch 6527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6527With loss 0.1267430099331721
epoch: 6528
Epoch 6528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6528With loss 0.1267430099331721
epoch: 6529
Epoch 6529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6529With loss 0.1267430099331721
epoch: 6530
Epoch 6530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6530With loss 0.1267430099331721
epoch: 6531
Epoch 6531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6531With loss 0.1267430099331721
epoch: 6532
Epoch 6532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6532With loss 0.1267430099331721
epoch: 6533
Epoch 6533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6533With loss 0.1267430099331721
epoch: 6534
Epoch 6534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6534With loss 0.1267430099331721
epoch: 6535
Epoch 6535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6535With loss 0.1267430099331721
epoch: 6536
Epoch 6536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6536With loss 0.1267430099331721
epoch: 6537
Epoch 6537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6537With loss 0.1267430099331721
epoch: 6538
Epoch 6538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6538With loss 0.1267430099331721
epoch: 6539
Epoch 6539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6539With loss 0.1267430099331721
epoch: 6540
Epoch 6540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6540With loss 0.1267430099331721
epoch: 6541
Epoch 6541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6541With loss 0.1267430099331721
epoch: 6542
Epoch 6542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6542With loss 0.1267430099331721
epoch: 6543
Epoch 6543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6543With loss 0.1267430099331721
epoch: 6544
Epoch 6544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6544With loss 0.1267430099331721
epoch: 6545
Epoch 6545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6545With loss 0.1267430099331721
epoch: 6546
Epoch 6546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6546With loss 0.1267430099331721
epoch: 6547
Epoch 6547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6547With loss 0.1267430099331721
epoch: 6548
Epoch 6548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6548With loss 0.1267430099331721
epoch: 6549
Epoch 6549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6549With loss 0.1267430099331721
epoch: 6550
Epoch 6550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6550With loss 0.1267430099331721
epoch: 6551
Epoch 6551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6551With loss 0.1267430099331721
epoch: 6552
Epoch 6552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6552With loss 0.1267430099331721
epoch: 6553
Epoch 6553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6553With loss 0.1267430099331721
epoch: 6554
Epoch 6554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6554With loss 0.1267430099331721
epoch: 6555
Epoch 6555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6555With loss 0.1267430099331721
epoch: 6556
Epoch 6556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6556With loss 0.1267430099331721
epoch: 6557
Epoch 6557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6557With loss 0.1267430099331721
epoch: 6558
Epoch 6558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6558With loss 0.1267430099331721
epoch: 6559
Epoch 6559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6559With loss 0.1267430099331721
epoch: 6560
Epoch 6560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6560With loss 0.1267430099331721
epoch: 6561
Epoch 6561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6561With loss 0.1267430099331721
epoch: 6562
Epoch 6562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6562With loss 0.1267430099331721
epoch: 6563
Epoch 6563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6563With loss 0.1267430099331721
epoch: 6564
Epoch 6564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6564With loss 0.1267430099331721
epoch: 6565
Epoch 6565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6565With loss 0.1267430099331721
epoch: 6566
Epoch 6566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6566With loss 0.1267430099331721
epoch: 6567
Epoch 6567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6567With loss 0.1267430099331721
epoch: 6568
Epoch 6568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6568With loss 0.1267430099331721
epoch: 6569
Epoch 6569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6569With loss 0.1267430099331721
epoch: 6570
Epoch 6570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6570With loss 0.1267430099331721
epoch: 6571
Epoch 6571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6571With loss 0.1267430099331721
epoch: 6572
Epoch 6572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6572With loss 0.1267430099331721
epoch: 6573
Epoch 6573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6573With loss 0.1267430099331721
epoch: 6574
Epoch 6574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6574With loss 0.1267430099331721
epoch: 6575
Epoch 6575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6575With loss 0.1267430099331721
epoch: 6576
Epoch 6576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6576With loss 0.1267430099331721
epoch: 6577
Epoch 6577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6577With loss 0.1267430099331721
epoch: 6578
Epoch 6578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6578With loss 0.1267430099331721
epoch: 6579
Epoch 6579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6579With loss 0.1267430099331721
epoch: 6580
Epoch 6580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6580With loss 0.1267430099331721
epoch: 6581
Epoch 6581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6581With loss 0.1267430099331721
epoch: 6582
Epoch 6582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6582With loss 0.1267430099331721
epoch: 6583
Epoch 6583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6583With loss 0.1267430099331721
epoch: 6584
Epoch 6584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6584With loss 0.1267430099331721
epoch: 6585
Epoch 6585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6585With loss 0.1267430099331721
epoch: 6586
Epoch 6586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6586With loss 0.1267430099331721
epoch: 6587
Epoch 6587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6587With loss 0.1267430099331721
epoch: 6588
Epoch 6588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6588With loss 0.1267430099331721
epoch: 6589
Epoch 6589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6589With loss 0.1267430099331721
epoch: 6590
Epoch 6590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6590With loss 0.1267430099331721
epoch: 6591
Epoch 6591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6591With loss 0.1267430099331721
epoch: 6592
Epoch 6592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6592With loss 0.1267430099331721
epoch: 6593
Epoch 6593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6593With loss 0.1267430099331721
epoch: 6594
Epoch 6594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6594With loss 0.1267430099331721
epoch: 6595
Epoch 6595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6595With loss 0.1267430099331721
epoch: 6596
Epoch 6596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6596With loss 0.1267430099331721
epoch: 6597
Epoch 6597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6597With loss 0.1267430099331721
epoch: 6598
Epoch 6598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6598With loss 0.1267430099331721
epoch: 6599
Epoch 6599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6599With loss 0.1267430099331721
epoch: 6600
Epoch 6600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6600With loss 0.1267430099331721
epoch: 6601
Epoch 6601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6601With loss 0.1267430099331721
epoch: 6602
Epoch 6602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6602With loss 0.1267430099331721
epoch: 6603
Epoch 6603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6603With loss 0.1267430099331721
epoch: 6604
Epoch 6604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6604With loss 0.1267430099331721
epoch: 6605
Epoch 6605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6605With loss 0.1267430099331721
epoch: 6606
Epoch 6606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6606With loss 0.1267430099331721
epoch: 6607
Epoch 6607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6607With loss 0.1267430099331721
epoch: 6608
Epoch 6608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6608With loss 0.1267430099331721
epoch: 6609
Epoch 6609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6609With loss 0.1267430099331721
epoch: 6610
Epoch 6610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6610With loss 0.1267430099331721
epoch: 6611
Epoch 6611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6611With loss 0.1267430099331721
epoch: 6612
Epoch 6612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6612With loss 0.1267430099331721
epoch: 6613
Epoch 6613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6613With loss 0.1267430099331721
epoch: 6614
Epoch 6614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6614With loss 0.1267430099331721
epoch: 6615
Epoch 6615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6615With loss 0.1267430099331721
epoch: 6616
Epoch 6616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6616With loss 0.1267430099331721
epoch: 6617
Epoch 6617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6617With loss 0.1267430099331721
epoch: 6618
Epoch 6618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6618With loss 0.1267430099331721
epoch: 6619
Epoch 6619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6619With loss 0.1267430099331721
epoch: 6620
Epoch 6620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6620With loss 0.1267430099331721
epoch: 6621
Epoch 6621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6621With loss 0.1267430099331721
epoch: 6622
Epoch 6622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6622With loss 0.1267430099331721
epoch: 6623
Epoch 6623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6623With loss 0.1267430099331721
epoch: 6624
Epoch 6624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6624With loss 0.1267430099331721
epoch: 6625
Epoch 6625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6625With loss 0.1267430099331721
epoch: 6626
Epoch 6626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6626With loss 0.1267430099331721
epoch: 6627
Epoch 6627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6627With loss 0.1267430099331721
epoch: 6628
Epoch 6628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6628With loss 0.1267430099331721
epoch: 6629
Epoch 6629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6629With loss 0.1267430099331721
epoch: 6630
Epoch 6630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6630With loss 0.1267430099331721
epoch: 6631
Epoch 6631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6631With loss 0.1267430099331721
epoch: 6632
Epoch 6632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6632With loss 0.1267430099331721
epoch: 6633
Epoch 6633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6633With loss 0.1267430099331721
epoch: 6634
Epoch 6634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6634With loss 0.1267430099331721
epoch: 6635
Epoch 6635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6635With loss 0.1267430099331721
epoch: 6636
Epoch 6636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6636With loss 0.1267430099331721
epoch: 6637
Epoch 6637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6637With loss 0.1267430099331721
epoch: 6638
Epoch 6638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6638With loss 0.1267430099331721
epoch: 6639
Epoch 6639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6639With loss 0.1267430099331721
epoch: 6640
Epoch 6640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6640With loss 0.1267430099331721
epoch: 6641
Epoch 6641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6641With loss 0.1267430099331721
epoch: 6642
Epoch 6642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6642With loss 0.1267430099331721
epoch: 6643
Epoch 6643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6643With loss 0.1267430099331721
epoch: 6644
Epoch 6644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6644With loss 0.1267430099331721
epoch: 6645
Epoch 6645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6645With loss 0.1267430099331721
epoch: 6646
Epoch 6646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6646With loss 0.1267430099331721
epoch: 6647
Epoch 6647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6647With loss 0.1267430099331721
epoch: 6648
Epoch 6648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6648With loss 0.1267430099331721
epoch: 6649
Epoch 6649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6649With loss 0.1267430099331721
epoch: 6650
Epoch 6650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6650With loss 0.1267430099331721
epoch: 6651
Epoch 6651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6651With loss 0.1267430099331721
epoch: 6652
Epoch 6652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6652With loss 0.1267430099331721
epoch: 6653
Epoch 6653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6653With loss 0.1267430099331721
epoch: 6654
Epoch 6654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6654With loss 0.1267430099331721
epoch: 6655
Epoch 6655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6655With loss 0.1267430099331721
epoch: 6656
Epoch 6656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6656With loss 0.1267430099331721
epoch: 6657
Epoch 6657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6657With loss 0.1267430099331721
epoch: 6658
Epoch 6658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6658With loss 0.1267430099331721
epoch: 6659
Epoch 6659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6659With loss 0.1267430099331721
epoch: 6660
Epoch 6660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6660With loss 0.1267430099331721
epoch: 6661
Epoch 6661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6661With loss 0.1267430099331721
epoch: 6662
Epoch 6662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6662With loss 0.1267430099331721
epoch: 6663
Epoch 6663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6663With loss 0.1267430099331721
epoch: 6664
Epoch 6664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6664With loss 0.1267430099331721
epoch: 6665
Epoch 6665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6665With loss 0.1267430099331721
epoch: 6666
Epoch 6666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6666With loss 0.1267430099331721
epoch: 6667
Epoch 6667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6667With loss 0.1267430099331721
epoch: 6668
Epoch 6668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6668With loss 0.1267430099331721
epoch: 6669
Epoch 6669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6669With loss 0.1267430099331721
epoch: 6670
Epoch 6670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6670With loss 0.1267430099331721
epoch: 6671
Epoch 6671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6671With loss 0.1267430099331721
epoch: 6672
Epoch 6672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6672With loss 0.1267430099331721
epoch: 6673
Epoch 6673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6673With loss 0.1267430099331721
epoch: 6674
Epoch 6674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6674With loss 0.1267430099331721
epoch: 6675
Epoch 6675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6675With loss 0.1267430099331721
epoch: 6676
Epoch 6676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6676With loss 0.1267430099331721
epoch: 6677
Epoch 6677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6677With loss 0.1267430099331721
epoch: 6678
Epoch 6678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6678With loss 0.1267430099331721
epoch: 6679
Epoch 6679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6679With loss 0.1267430099331721
epoch: 6680
Epoch 6680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6680With loss 0.1267430099331721
epoch: 6681
Epoch 6681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6681With loss 0.1267430099331721
epoch: 6682
Epoch 6682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6682With loss 0.1267430099331721
epoch: 6683
Epoch 6683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6683With loss 0.1267430099331721
epoch: 6684
Epoch 6684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6684With loss 0.1267430099331721
epoch: 6685
Epoch 6685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6685With loss 0.1267430099331721
epoch: 6686
Epoch 6686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6686With loss 0.1267430099331721
epoch: 6687
Epoch 6687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6687With loss 0.1267430099331721
epoch: 6688
Epoch 6688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6688With loss 0.1267430099331721
epoch: 6689
Epoch 6689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6689With loss 0.1267430099331721
epoch: 6690
Epoch 6690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6690With loss 0.1267430099331721
epoch: 6691
Epoch 6691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6691With loss 0.1267430099331721
epoch: 6692
Epoch 6692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6692With loss 0.1267430099331721
epoch: 6693
Epoch 6693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6693With loss 0.1267430099331721
epoch: 6694
Epoch 6694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6694With loss 0.1267430099331721
epoch: 6695
Epoch 6695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6695With loss 0.1267430099331721
epoch: 6696
Epoch 6696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6696With loss 0.1267430099331721
epoch: 6697
Epoch 6697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6697With loss 0.1267430099331721
epoch: 6698
Epoch 6698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6698With loss 0.1267430099331721
epoch: 6699
Epoch 6699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6699With loss 0.1267430099331721
epoch: 6700
Epoch 6700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6700With loss 0.1267430099331721
epoch: 6701
Epoch 6701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6701With loss 0.1267430099331721
epoch: 6702
Epoch 6702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6702With loss 0.1267430099331721
epoch: 6703
Epoch 6703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6703With loss 0.1267430099331721
epoch: 6704
Epoch 6704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6704With loss 0.1267430099331721
epoch: 6705
Epoch 6705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6705With loss 0.1267430099331721
epoch: 6706
Epoch 6706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6706With loss 0.1267430099331721
epoch: 6707
Epoch 6707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6707With loss 0.1267430099331721
epoch: 6708
Epoch 6708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6708With loss 0.1267430099331721
epoch: 6709
Epoch 6709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6709With loss 0.1267430099331721
epoch: 6710
Epoch 6710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6710With loss 0.1267430099331721
epoch: 6711
Epoch 6711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6711With loss 0.1267430099331721
epoch: 6712
Epoch 6712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6712With loss 0.1267430099331721
epoch: 6713
Epoch 6713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6713With loss 0.1267430099331721
epoch: 6714
Epoch 6714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6714With loss 0.1267430099331721
epoch: 6715
Epoch 6715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6715With loss 0.1267430099331721
epoch: 6716
Epoch 6716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6716With loss 0.1267430099331721
epoch: 6717
Epoch 6717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6717With loss 0.1267430099331721
epoch: 6718
Epoch 6718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6718With loss 0.1267430099331721
epoch: 6719
Epoch 6719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6719With loss 0.1267430099331721
epoch: 6720
Epoch 6720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6720With loss 0.1267430099331721
epoch: 6721
Epoch 6721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6721With loss 0.1267430099331721
epoch: 6722
Epoch 6722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6722With loss 0.1267430099331721
epoch: 6723
Epoch 6723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6723With loss 0.1267430099331721
epoch: 6724
Epoch 6724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6724With loss 0.1267430099331721
epoch: 6725
Epoch 6725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6725With loss 0.1267430099331721
epoch: 6726
Epoch 6726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6726With loss 0.1267430099331721
epoch: 6727
Epoch 6727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6727With loss 0.1267430099331721
epoch: 6728
Epoch 6728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6728With loss 0.1267430099331721
epoch: 6729
Epoch 6729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6729With loss 0.1267430099331721
epoch: 6730
Epoch 6730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6730With loss 0.1267430099331721
epoch: 6731
Epoch 6731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6731With loss 0.1267430099331721
epoch: 6732
Epoch 6732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6732With loss 0.1267430099331721
epoch: 6733
Epoch 6733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6733With loss 0.1267430099331721
epoch: 6734
Epoch 6734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6734With loss 0.1267430099331721
epoch: 6735
Epoch 6735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6735With loss 0.1267430099331721
epoch: 6736
Epoch 6736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6736With loss 0.1267430099331721
epoch: 6737
Epoch 6737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6737With loss 0.1267430099331721
epoch: 6738
Epoch 6738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6738With loss 0.1267430099331721
epoch: 6739
Epoch 6739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6739With loss 0.1267430099331721
epoch: 6740
Epoch 6740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6740With loss 0.1267430099331721
epoch: 6741
Epoch 6741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6741With loss 0.1267430099331721
epoch: 6742
Epoch 6742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6742With loss 0.1267430099331721
epoch: 6743
Epoch 6743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6743With loss 0.1267430099331721
epoch: 6744
Epoch 6744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6744With loss 0.1267430099331721
epoch: 6745
Epoch 6745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6745With loss 0.1267430099331721
epoch: 6746
Epoch 6746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6746With loss 0.1267430099331721
epoch: 6747
Epoch 6747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6747With loss 0.1267430099331721
epoch: 6748
Epoch 6748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6748With loss 0.1267430099331721
epoch: 6749
Epoch 6749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6749With loss 0.1267430099331721
epoch: 6750
Epoch 6750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6750With loss 0.1267430099331721
epoch: 6751
Epoch 6751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6751With loss 0.1267430099331721
epoch: 6752
Epoch 6752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6752With loss 0.1267430099331721
epoch: 6753
Epoch 6753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6753With loss 0.1267430099331721
epoch: 6754
Epoch 6754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6754With loss 0.1267430099331721
epoch: 6755
Epoch 6755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6755With loss 0.1267430099331721
epoch: 6756
Epoch 6756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6756With loss 0.1267430099331721
epoch: 6757
Epoch 6757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6757With loss 0.1267430099331721
epoch: 6758
Epoch 6758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6758With loss 0.1267430099331721
epoch: 6759
Epoch 6759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6759With loss 0.1267430099331721
epoch: 6760
Epoch 6760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6760With loss 0.1267430099331721
epoch: 6761
Epoch 6761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6761With loss 0.1267430099331721
epoch: 6762
Epoch 6762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6762With loss 0.1267430099331721
epoch: 6763
Epoch 6763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6763With loss 0.1267430099331721
epoch: 6764
Epoch 6764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6764With loss 0.1267430099331721
epoch: 6765
Epoch 6765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6765With loss 0.1267430099331721
epoch: 6766
Epoch 6766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6766With loss 0.1267430099331721
epoch: 6767
Epoch 6767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6767With loss 0.1267430099331721
epoch: 6768
Epoch 6768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6768With loss 0.1267430099331721
epoch: 6769
Epoch 6769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6769With loss 0.1267430099331721
epoch: 6770
Epoch 6770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6770With loss 0.1267430099331721
epoch: 6771
Epoch 6771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6771With loss 0.1267430099331721
epoch: 6772
Epoch 6772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6772With loss 0.1267430099331721
epoch: 6773
Epoch 6773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6773With loss 0.1267430099331721
epoch: 6774
Epoch 6774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6774With loss 0.1267430099331721
epoch: 6775
Epoch 6775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6775With loss 0.1267430099331721
epoch: 6776
Epoch 6776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6776With loss 0.1267430099331721
epoch: 6777
Epoch 6777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6777With loss 0.1267430099331721
epoch: 6778
Epoch 6778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6778With loss 0.1267430099331721
epoch: 6779
Epoch 6779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6779With loss 0.1267430099331721
epoch: 6780
Epoch 6780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6780With loss 0.1267430099331721
epoch: 6781
Epoch 6781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6781With loss 0.1267430099331721
epoch: 6782
Epoch 6782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6782With loss 0.1267430099331721
epoch: 6783
Epoch 6783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6783With loss 0.1267430099331721
epoch: 6784
Epoch 6784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6784With loss 0.1267430099331721
epoch: 6785
Epoch 6785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6785With loss 0.1267430099331721
epoch: 6786
Epoch 6786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6786With loss 0.1267430099331721
epoch: 6787
Epoch 6787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6787With loss 0.1267430099331721
epoch: 6788
Epoch 6788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6788With loss 0.1267430099331721
epoch: 6789
Epoch 6789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6789With loss 0.1267430099331721
epoch: 6790
Epoch 6790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6790With loss 0.1267430099331721
epoch: 6791
Epoch 6791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6791With loss 0.1267430099331721
epoch: 6792
Epoch 6792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6792With loss 0.1267430099331721
epoch: 6793
Epoch 6793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6793With loss 0.1267430099331721
epoch: 6794
Epoch 6794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6794With loss 0.1267430099331721
epoch: 6795
Epoch 6795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6795With loss 0.1267430099331721
epoch: 6796
Epoch 6796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6796With loss 0.1267430099331721
epoch: 6797
Epoch 6797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6797With loss 0.1267430099331721
epoch: 6798
Epoch 6798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6798With loss 0.1267430099331721
epoch: 6799
Epoch 6799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6799With loss 0.1267430099331721
epoch: 6800
Epoch 6800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6800With loss 0.1267430099331721
epoch: 6801
Epoch 6801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6801With loss 0.1267430099331721
epoch: 6802
Epoch 6802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6802With loss 0.1267430099331721
epoch: 6803
Epoch 6803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6803With loss 0.1267430099331721
epoch: 6804
Epoch 6804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6804With loss 0.1267430099331721
epoch: 6805
Epoch 6805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6805With loss 0.1267430099331721
epoch: 6806
Epoch 6806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6806With loss 0.1267430099331721
epoch: 6807
Epoch 6807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6807With loss 0.1267430099331721
epoch: 6808
Epoch 6808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6808With loss 0.1267430099331721
epoch: 6809
Epoch 6809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6809With loss 0.1267430099331721
epoch: 6810
Epoch 6810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6810With loss 0.1267430099331721
epoch: 6811
Epoch 6811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6811With loss 0.1267430099331721
epoch: 6812
Epoch 6812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6812With loss 0.1267430099331721
epoch: 6813
Epoch 6813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6813With loss 0.1267430099331721
epoch: 6814
Epoch 6814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6814With loss 0.1267430099331721
epoch: 6815
Epoch 6815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6815With loss 0.1267430099331721
epoch: 6816
Epoch 6816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6816With loss 0.1267430099331721
epoch: 6817
Epoch 6817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6817With loss 0.1267430099331721
epoch: 6818
Epoch 6818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6818With loss 0.1267430099331721
epoch: 6819
Epoch 6819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6819With loss 0.1267430099331721
epoch: 6820
Epoch 6820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6820With loss 0.1267430099331721
epoch: 6821
Epoch 6821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6821With loss 0.1267430099331721
epoch: 6822
Epoch 6822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6822With loss 0.1267430099331721
epoch: 6823
Epoch 6823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6823With loss 0.1267430099331721
epoch: 6824
Epoch 6824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6824With loss 0.1267430099331721
epoch: 6825
Epoch 6825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6825With loss 0.1267430099331721
epoch: 6826
Epoch 6826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6826With loss 0.1267430099331721
epoch: 6827
Epoch 6827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6827With loss 0.1267430099331721
epoch: 6828
Epoch 6828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6828With loss 0.1267430099331721
epoch: 6829
Epoch 6829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6829With loss 0.1267430099331721
epoch: 6830
Epoch 6830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6830With loss 0.1267430099331721
epoch: 6831
Epoch 6831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6831With loss 0.1267430099331721
epoch: 6832
Epoch 6832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6832With loss 0.1267430099331721
epoch: 6833
Epoch 6833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6833With loss 0.1267430099331721
epoch: 6834
Epoch 6834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6834With loss 0.1267430099331721
epoch: 6835
Epoch 6835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6835With loss 0.1267430099331721
epoch: 6836
Epoch 6836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6836With loss 0.1267430099331721
epoch: 6837
Epoch 6837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6837With loss 0.1267430099331721
epoch: 6838
Epoch 6838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6838With loss 0.1267430099331721
epoch: 6839
Epoch 6839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6839With loss 0.1267430099331721
epoch: 6840
Epoch 6840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6840With loss 0.1267430099331721
epoch: 6841
Epoch 6841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6841With loss 0.1267430099331721
epoch: 6842
Epoch 6842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6842With loss 0.1267430099331721
epoch: 6843
Epoch 6843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6843With loss 0.1267430099331721
epoch: 6844
Epoch 6844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6844With loss 0.1267430099331721
epoch: 6845
Epoch 6845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6845With loss 0.1267430099331721
epoch: 6846
Epoch 6846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6846With loss 0.1267430099331721
epoch: 6847
Epoch 6847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6847With loss 0.1267430099331721
epoch: 6848
Epoch 6848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6848With loss 0.1267430099331721
epoch: 6849
Epoch 6849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6849With loss 0.1267430099331721
epoch: 6850
Epoch 6850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6850With loss 0.1267430099331721
epoch: 6851
Epoch 6851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6851With loss 0.1267430099331721
epoch: 6852
Epoch 6852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6852With loss 0.1267430099331721
epoch: 6853
Epoch 6853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6853With loss 0.1267430099331721
epoch: 6854
Epoch 6854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6854With loss 0.1267430099331721
epoch: 6855
Epoch 6855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6855With loss 0.1267430099331721
epoch: 6856
Epoch 6856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6856With loss 0.1267430099331721
epoch: 6857
Epoch 6857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6857With loss 0.1267430099331721
epoch: 6858
Epoch 6858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6858With loss 0.1267430099331721
epoch: 6859
Epoch 6859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6859With loss 0.1267430099331721
epoch: 6860
Epoch 6860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6860With loss 0.1267430099331721
epoch: 6861
Epoch 6861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6861With loss 0.1267430099331721
epoch: 6862
Epoch 6862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6862With loss 0.1267430099331721
epoch: 6863
Epoch 6863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6863With loss 0.1267430099331721
epoch: 6864
Epoch 6864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6864With loss 0.1267430099331721
epoch: 6865
Epoch 6865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6865With loss 0.1267430099331721
epoch: 6866
Epoch 6866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6866With loss 0.1267430099331721
epoch: 6867
Epoch 6867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6867With loss 0.1267430099331721
epoch: 6868
Epoch 6868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6868With loss 0.1267430099331721
epoch: 6869
Epoch 6869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6869With loss 0.1267430099331721
epoch: 6870
Epoch 6870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6870With loss 0.1267430099331721
epoch: 6871
Epoch 6871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6871With loss 0.1267430099331721
epoch: 6872
Epoch 6872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6872With loss 0.1267430099331721
epoch: 6873
Epoch 6873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6873With loss 0.1267430099331721
epoch: 6874
Epoch 6874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6874With loss 0.1267430099331721
epoch: 6875
Epoch 6875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6875With loss 0.1267430099331721
epoch: 6876
Epoch 6876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6876With loss 0.1267430099331721
epoch: 6877
Epoch 6877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6877With loss 0.1267430099331721
epoch: 6878
Epoch 6878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6878With loss 0.1267430099331721
epoch: 6879
Epoch 6879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6879With loss 0.1267430099331721
epoch: 6880
Epoch 6880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6880With loss 0.1267430099331721
epoch: 6881
Epoch 6881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6881With loss 0.1267430099331721
epoch: 6882
Epoch 6882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6882With loss 0.1267430099331721
epoch: 6883
Epoch 6883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6883With loss 0.1267430099331721
epoch: 6884
Epoch 6884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6884With loss 0.1267430099331721
epoch: 6885
Epoch 6885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6885With loss 0.1267430099331721
epoch: 6886
Epoch 6886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6886With loss 0.1267430099331721
epoch: 6887
Epoch 6887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6887With loss 0.1267430099331721
epoch: 6888
Epoch 6888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6888With loss 0.1267430099331721
epoch: 6889
Epoch 6889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6889With loss 0.1267430099331721
epoch: 6890
Epoch 6890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6890With loss 0.1267430099331721
epoch: 6891
Epoch 6891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6891With loss 0.1267430099331721
epoch: 6892
Epoch 6892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6892With loss 0.1267430099331721
epoch: 6893
Epoch 6893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6893With loss 0.1267430099331721
epoch: 6894
Epoch 6894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6894With loss 0.1267430099331721
epoch: 6895
Epoch 6895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6895With loss 0.1267430099331721
epoch: 6896
Epoch 6896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6896With loss 0.1267430099331721
epoch: 6897
Epoch 6897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6897With loss 0.1267430099331721
epoch: 6898
Epoch 6898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6898With loss 0.1267430099331721
epoch: 6899
Epoch 6899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6899With loss 0.1267430099331721
epoch: 6900
Epoch 6900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6900With loss 0.1267430099331721
epoch: 6901
Epoch 6901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6901With loss 0.1267430099331721
epoch: 6902
Epoch 6902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6902With loss 0.1267430099331721
epoch: 6903
Epoch 6903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6903With loss 0.1267430099331721
epoch: 6904
Epoch 6904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6904With loss 0.1267430099331721
epoch: 6905
Epoch 6905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6905With loss 0.1267430099331721
epoch: 6906
Epoch 6906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6906With loss 0.1267430099331721
epoch: 6907
Epoch 6907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6907With loss 0.1267430099331721
epoch: 6908
Epoch 6908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6908With loss 0.1267430099331721
epoch: 6909
Epoch 6909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6909With loss 0.1267430099331721
epoch: 6910
Epoch 6910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6910With loss 0.1267430099331721
epoch: 6911
Epoch 6911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6911With loss 0.1267430099331721
epoch: 6912
Epoch 6912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6912With loss 0.1267430099331721
epoch: 6913
Epoch 6913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6913With loss 0.1267430099331721
epoch: 6914
Epoch 6914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6914With loss 0.1267430099331721
epoch: 6915
Epoch 6915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6915With loss 0.1267430099331721
epoch: 6916
Epoch 6916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6916With loss 0.1267430099331721
epoch: 6917
Epoch 6917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6917With loss 0.1267430099331721
epoch: 6918
Epoch 6918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6918With loss 0.1267430099331721
epoch: 6919
Epoch 6919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6919With loss 0.1267430099331721
epoch: 6920
Epoch 6920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6920With loss 0.1267430099331721
epoch: 6921
Epoch 6921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6921With loss 0.1267430099331721
epoch: 6922
Epoch 6922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6922With loss 0.1267430099331721
epoch: 6923
Epoch 6923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6923With loss 0.1267430099331721
epoch: 6924
Epoch 6924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6924With loss 0.1267430099331721
epoch: 6925
Epoch 6925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6925With loss 0.1267430099331721
epoch: 6926
Epoch 6926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6926With loss 0.1267430099331721
epoch: 6927
Epoch 6927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6927With loss 0.1267430099331721
epoch: 6928
Epoch 6928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6928With loss 0.1267430099331721
epoch: 6929
Epoch 6929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6929With loss 0.1267430099331721
epoch: 6930
Epoch 6930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6930With loss 0.1267430099331721
epoch: 6931
Epoch 6931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6931With loss 0.1267430099331721
epoch: 6932
Epoch 6932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6932With loss 0.1267430099331721
epoch: 6933
Epoch 6933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6933With loss 0.1267430099331721
epoch: 6934
Epoch 6934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6934With loss 0.1267430099331721
epoch: 6935
Epoch 6935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6935With loss 0.1267430099331721
epoch: 6936
Epoch 6936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6936With loss 0.1267430099331721
epoch: 6937
Epoch 6937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6937With loss 0.1267430099331721
epoch: 6938
Epoch 6938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6938With loss 0.1267430099331721
epoch: 6939
Epoch 6939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6939With loss 0.1267430099331721
epoch: 6940
Epoch 6940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6940With loss 0.1267430099331721
epoch: 6941
Epoch 6941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6941With loss 0.1267430099331721
epoch: 6942
Epoch 6942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6942With loss 0.1267430099331721
epoch: 6943
Epoch 6943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6943With loss 0.1267430099331721
epoch: 6944
Epoch 6944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6944With loss 0.1267430099331721
epoch: 6945
Epoch 6945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6945With loss 0.1267430099331721
epoch: 6946
Epoch 6946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6946With loss 0.1267430099331721
epoch: 6947
Epoch 6947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6947With loss 0.1267430099331721
epoch: 6948
Epoch 6948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6948With loss 0.1267430099331721
epoch: 6949
Epoch 6949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6949With loss 0.1267430099331721
epoch: 6950
Epoch 6950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6950With loss 0.1267430099331721
epoch: 6951
Epoch 6951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6951With loss 0.1267430099331721
epoch: 6952
Epoch 6952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6952With loss 0.1267430099331721
epoch: 6953
Epoch 6953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6953With loss 0.1267430099331721
epoch: 6954
Epoch 6954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6954With loss 0.1267430099331721
epoch: 6955
Epoch 6955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6955With loss 0.1267430099331721
epoch: 6956
Epoch 6956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6956With loss 0.1267430099331721
epoch: 6957
Epoch 6957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6957With loss 0.1267430099331721
epoch: 6958
Epoch 6958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6958With loss 0.1267430099331721
epoch: 6959
Epoch 6959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6959With loss 0.1267430099331721
epoch: 6960
Epoch 6960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6960With loss 0.1267430099331721
epoch: 6961
Epoch 6961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6961With loss 0.1267430099331721
epoch: 6962
Epoch 6962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6962With loss 0.1267430099331721
epoch: 6963
Epoch 6963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6963With loss 0.1267430099331721
epoch: 6964
Epoch 6964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6964With loss 0.1267430099331721
epoch: 6965
Epoch 6965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6965With loss 0.1267430099331721
epoch: 6966
Epoch 6966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6966With loss 0.1267430099331721
epoch: 6967
Epoch 6967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6967With loss 0.1267430099331721
epoch: 6968
Epoch 6968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6968With loss 0.1267430099331721
epoch: 6969
Epoch 6969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6969With loss 0.1267430099331721
epoch: 6970
Epoch 6970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6970With loss 0.1267430099331721
epoch: 6971
Epoch 6971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6971With loss 0.1267430099331721
epoch: 6972
Epoch 6972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6972With loss 0.1267430099331721
epoch: 6973
Epoch 6973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6973With loss 0.1267430099331721
epoch: 6974
Epoch 6974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6974With loss 0.1267430099331721
epoch: 6975
Epoch 6975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6975With loss 0.1267430099331721
epoch: 6976
Epoch 6976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6976With loss 0.1267430099331721
epoch: 6977
Epoch 6977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6977With loss 0.1267430099331721
epoch: 6978
Epoch 6978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6978With loss 0.1267430099331721
epoch: 6979
Epoch 6979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6979With loss 0.1267430099331721
epoch: 6980
Epoch 6980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6980With loss 0.1267430099331721
epoch: 6981
Epoch 6981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6981With loss 0.1267430099331721
epoch: 6982
Epoch 6982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6982With loss 0.1267430099331721
epoch: 6983
Epoch 6983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6983With loss 0.1267430099331721
epoch: 6984
Epoch 6984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6984With loss 0.1267430099331721
epoch: 6985
Epoch 6985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6985With loss 0.1267430099331721
epoch: 6986
Epoch 6986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6986With loss 0.1267430099331721
epoch: 6987
Epoch 6987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6987With loss 0.1267430099331721
epoch: 6988
Epoch 6988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6988With loss 0.1267430099331721
epoch: 6989
Epoch 6989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6989With loss 0.1267430099331721
epoch: 6990
Epoch 6990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6990With loss 0.1267430099331721
epoch: 6991
Epoch 6991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6991With loss 0.1267430099331721
epoch: 6992
Epoch 6992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6992With loss 0.1267430099331721
epoch: 6993
Epoch 6993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6993With loss 0.1267430099331721
epoch: 6994
Epoch 6994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6994With loss 0.1267430099331721
epoch: 6995
Epoch 6995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6995With loss 0.1267430099331721
epoch: 6996
Epoch 6996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6996With loss 0.1267430099331721
epoch: 6997
Epoch 6997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6997With loss 0.1267430099331721
epoch: 6998
Epoch 6998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6998With loss 0.1267430099331721
epoch: 6999
Epoch 6999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 6999With loss 0.1267430099331721
epoch: 7000
Epoch 7000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7000With loss 0.1267430099331721
epoch: 7001
Epoch 7001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7001With loss 0.1267430099331721
epoch: 7002
Epoch 7002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7002With loss 0.1267430099331721
epoch: 7003
Epoch 7003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7003With loss 0.1267430099331721
epoch: 7004
Epoch 7004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7004With loss 0.1267430099331721
epoch: 7005
Epoch 7005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7005With loss 0.1267430099331721
epoch: 7006
Epoch 7006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7006With loss 0.1267430099331721
epoch: 7007
Epoch 7007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7007With loss 0.1267430099331721
epoch: 7008
Epoch 7008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7008With loss 0.1267430099331721
epoch: 7009
Epoch 7009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7009With loss 0.1267430099331721
epoch: 7010
Epoch 7010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7010With loss 0.1267430099331721
epoch: 7011
Epoch 7011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7011With loss 0.1267430099331721
epoch: 7012
Epoch 7012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7012With loss 0.1267430099331721
epoch: 7013
Epoch 7013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7013With loss 0.1267430099331721
epoch: 7014
Epoch 7014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7014With loss 0.1267430099331721
epoch: 7015
Epoch 7015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7015With loss 0.1267430099331721
epoch: 7016
Epoch 7016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7016With loss 0.1267430099331721
epoch: 7017
Epoch 7017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7017With loss 0.1267430099331721
epoch: 7018
Epoch 7018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7018With loss 0.1267430099331721
epoch: 7019
Epoch 7019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7019With loss 0.1267430099331721
epoch: 7020
Epoch 7020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7020With loss 0.1267430099331721
epoch: 7021
Epoch 7021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7021With loss 0.1267430099331721
epoch: 7022
Epoch 7022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7022With loss 0.1267430099331721
epoch: 7023
Epoch 7023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7023With loss 0.1267430099331721
epoch: 7024
Epoch 7024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7024With loss 0.1267430099331721
epoch: 7025
Epoch 7025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7025With loss 0.1267430099331721
epoch: 7026
Epoch 7026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7026With loss 0.1267430099331721
epoch: 7027
Epoch 7027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7027With loss 0.1267430099331721
epoch: 7028
Epoch 7028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7028With loss 0.1267430099331721
epoch: 7029
Epoch 7029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7029With loss 0.1267430099331721
epoch: 7030
Epoch 7030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7030With loss 0.1267430099331721
epoch: 7031
Epoch 7031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7031With loss 0.1267430099331721
epoch: 7032
Epoch 7032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7032With loss 0.1267430099331721
epoch: 7033
Epoch 7033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7033With loss 0.1267430099331721
epoch: 7034
Epoch 7034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7034With loss 0.1267430099331721
epoch: 7035
Epoch 7035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7035With loss 0.1267430099331721
epoch: 7036
Epoch 7036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7036With loss 0.1267430099331721
epoch: 7037
Epoch 7037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7037With loss 0.1267430099331721
epoch: 7038
Epoch 7038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7038With loss 0.1267430099331721
epoch: 7039
Epoch 7039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7039With loss 0.1267430099331721
epoch: 7040
Epoch 7040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7040With loss 0.1267430099331721
epoch: 7041
Epoch 7041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7041With loss 0.1267430099331721
epoch: 7042
Epoch 7042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7042With loss 0.1267430099331721
epoch: 7043
Epoch 7043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7043With loss 0.1267430099331721
epoch: 7044
Epoch 7044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7044With loss 0.1267430099331721
epoch: 7045
Epoch 7045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7045With loss 0.1267430099331721
epoch: 7046
Epoch 7046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7046With loss 0.1267430099331721
epoch: 7047
Epoch 7047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7047With loss 0.1267430099331721
epoch: 7048
Epoch 7048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7048With loss 0.1267430099331721
epoch: 7049
Epoch 7049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7049With loss 0.1267430099331721
epoch: 7050
Epoch 7050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7050With loss 0.1267430099331721
epoch: 7051
Epoch 7051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7051With loss 0.1267430099331721
epoch: 7052
Epoch 7052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7052With loss 0.1267430099331721
epoch: 7053
Epoch 7053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7053With loss 0.1267430099331721
epoch: 7054
Epoch 7054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7054With loss 0.1267430099331721
epoch: 7055
Epoch 7055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7055With loss 0.1267430099331721
epoch: 7056
Epoch 7056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7056With loss 0.1267430099331721
epoch: 7057
Epoch 7057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7057With loss 0.1267430099331721
epoch: 7058
Epoch 7058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7058With loss 0.1267430099331721
epoch: 7059
Epoch 7059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7059With loss 0.1267430099331721
epoch: 7060
Epoch 7060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7060With loss 0.1267430099331721
epoch: 7061
Epoch 7061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7061With loss 0.1267430099331721
epoch: 7062
Epoch 7062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7062With loss 0.1267430099331721
epoch: 7063
Epoch 7063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7063With loss 0.1267430099331721
epoch: 7064
Epoch 7064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7064With loss 0.1267430099331721
epoch: 7065
Epoch 7065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7065With loss 0.1267430099331721
epoch: 7066
Epoch 7066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7066With loss 0.1267430099331721
epoch: 7067
Epoch 7067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7067With loss 0.1267430099331721
epoch: 7068
Epoch 7068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7068With loss 0.1267430099331721
epoch: 7069
Epoch 7069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7069With loss 0.1267430099331721
epoch: 7070
Epoch 7070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7070With loss 0.1267430099331721
epoch: 7071
Epoch 7071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7071With loss 0.1267430099331721
epoch: 7072
Epoch 7072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7072With loss 0.1267430099331721
epoch: 7073
Epoch 7073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7073With loss 0.1267430099331721
epoch: 7074
Epoch 7074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7074With loss 0.1267430099331721
epoch: 7075
Epoch 7075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7075With loss 0.1267430099331721
epoch: 7076
Epoch 7076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7076With loss 0.1267430099331721
epoch: 7077
Epoch 7077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7077With loss 0.1267430099331721
epoch: 7078
Epoch 7078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7078With loss 0.1267430099331721
epoch: 7079
Epoch 7079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7079With loss 0.1267430099331721
epoch: 7080
Epoch 7080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7080With loss 0.1267430099331721
epoch: 7081
Epoch 7081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7081With loss 0.1267430099331721
epoch: 7082
Epoch 7082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7082With loss 0.1267430099331721
epoch: 7083
Epoch 7083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7083With loss 0.1267430099331721
epoch: 7084
Epoch 7084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7084With loss 0.1267430099331721
epoch: 7085
Epoch 7085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7085With loss 0.1267430099331721
epoch: 7086
Epoch 7086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7086With loss 0.1267430099331721
epoch: 7087
Epoch 7087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7087With loss 0.1267430099331721
epoch: 7088
Epoch 7088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7088With loss 0.1267430099331721
epoch: 7089
Epoch 7089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7089With loss 0.1267430099331721
epoch: 7090
Epoch 7090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7090With loss 0.1267430099331721
epoch: 7091
Epoch 7091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7091With loss 0.1267430099331721
epoch: 7092
Epoch 7092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7092With loss 0.1267430099331721
epoch: 7093
Epoch 7093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7093With loss 0.1267430099331721
epoch: 7094
Epoch 7094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7094With loss 0.1267430099331721
epoch: 7095
Epoch 7095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7095With loss 0.1267430099331721
epoch: 7096
Epoch 7096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7096With loss 0.1267430099331721
epoch: 7097
Epoch 7097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7097With loss 0.1267430099331721
epoch: 7098
Epoch 7098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7098With loss 0.1267430099331721
epoch: 7099
Epoch 7099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7099With loss 0.1267430099331721
epoch: 7100
Epoch 7100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7100With loss 0.1267430099331721
epoch: 7101
Epoch 7101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7101With loss 0.1267430099331721
epoch: 7102
Epoch 7102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7102With loss 0.1267430099331721
epoch: 7103
Epoch 7103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7103With loss 0.1267430099331721
epoch: 7104
Epoch 7104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7104With loss 0.1267430099331721
epoch: 7105
Epoch 7105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7105With loss 0.1267430099331721
epoch: 7106
Epoch 7106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7106With loss 0.1267430099331721
epoch: 7107
Epoch 7107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7107With loss 0.1267430099331721
epoch: 7108
Epoch 7108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7108With loss 0.1267430099331721
epoch: 7109
Epoch 7109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7109With loss 0.1267430099331721
epoch: 7110
Epoch 7110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7110With loss 0.1267430099331721
epoch: 7111
Epoch 7111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7111With loss 0.1267430099331721
epoch: 7112
Epoch 7112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7112With loss 0.1267430099331721
epoch: 7113
Epoch 7113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7113With loss 0.1267430099331721
epoch: 7114
Epoch 7114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7114With loss 0.1267430099331721
epoch: 7115
Epoch 7115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7115With loss 0.1267430099331721
epoch: 7116
Epoch 7116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7116With loss 0.1267430099331721
epoch: 7117
Epoch 7117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7117With loss 0.1267430099331721
epoch: 7118
Epoch 7118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7118With loss 0.1267430099331721
epoch: 7119
Epoch 7119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7119With loss 0.1267430099331721
epoch: 7120
Epoch 7120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7120With loss 0.1267430099331721
epoch: 7121
Epoch 7121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7121With loss 0.1267430099331721
epoch: 7122
Epoch 7122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7122With loss 0.1267430099331721
epoch: 7123
Epoch 7123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7123With loss 0.1267430099331721
epoch: 7124
Epoch 7124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7124With loss 0.1267430099331721
epoch: 7125
Epoch 7125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7125With loss 0.1267430099331721
epoch: 7126
Epoch 7126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7126With loss 0.1267430099331721
epoch: 7127
Epoch 7127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7127With loss 0.1267430099331721
epoch: 7128
Epoch 7128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7128With loss 0.1267430099331721
epoch: 7129
Epoch 7129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7129With loss 0.1267430099331721
epoch: 7130
Epoch 7130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7130With loss 0.1267430099331721
epoch: 7131
Epoch 7131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7131With loss 0.1267430099331721
epoch: 7132
Epoch 7132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7132With loss 0.1267430099331721
epoch: 7133
Epoch 7133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7133With loss 0.1267430099331721
epoch: 7134
Epoch 7134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7134With loss 0.1267430099331721
epoch: 7135
Epoch 7135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7135With loss 0.1267430099331721
epoch: 7136
Epoch 7136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7136With loss 0.1267430099331721
epoch: 7137
Epoch 7137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7137With loss 0.1267430099331721
epoch: 7138
Epoch 7138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7138With loss 0.1267430099331721
epoch: 7139
Epoch 7139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7139With loss 0.1267430099331721
epoch: 7140
Epoch 7140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7140With loss 0.1267430099331721
epoch: 7141
Epoch 7141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7141With loss 0.1267430099331721
epoch: 7142
Epoch 7142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7142With loss 0.1267430099331721
epoch: 7143
Epoch 7143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7143With loss 0.1267430099331721
epoch: 7144
Epoch 7144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7144With loss 0.1267430099331721
epoch: 7145
Epoch 7145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7145With loss 0.1267430099331721
epoch: 7146
Epoch 7146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7146With loss 0.1267430099331721
epoch: 7147
Epoch 7147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7147With loss 0.1267430099331721
epoch: 7148
Epoch 7148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7148With loss 0.1267430099331721
epoch: 7149
Epoch 7149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7149With loss 0.1267430099331721
epoch: 7150
Epoch 7150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7150With loss 0.1267430099331721
epoch: 7151
Epoch 7151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7151With loss 0.1267430099331721
epoch: 7152
Epoch 7152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7152With loss 0.1267430099331721
epoch: 7153
Epoch 7153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7153With loss 0.1267430099331721
epoch: 7154
Epoch 7154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7154With loss 0.1267430099331721
epoch: 7155
Epoch 7155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7155With loss 0.1267430099331721
epoch: 7156
Epoch 7156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7156With loss 0.1267430099331721
epoch: 7157
Epoch 7157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7157With loss 0.1267430099331721
epoch: 7158
Epoch 7158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7158With loss 0.1267430099331721
epoch: 7159
Epoch 7159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7159With loss 0.1267430099331721
epoch: 7160
Epoch 7160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7160With loss 0.1267430099331721
epoch: 7161
Epoch 7161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7161With loss 0.1267430099331721
epoch: 7162
Epoch 7162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7162With loss 0.1267430099331721
epoch: 7163
Epoch 7163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7163With loss 0.1267430099331721
epoch: 7164
Epoch 7164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7164With loss 0.1267430099331721
epoch: 7165
Epoch 7165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7165With loss 0.1267430099331721
epoch: 7166
Epoch 7166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7166With loss 0.1267430099331721
epoch: 7167
Epoch 7167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7167With loss 0.1267430099331721
epoch: 7168
Epoch 7168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7168With loss 0.1267430099331721
epoch: 7169
Epoch 7169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7169With loss 0.1267430099331721
epoch: 7170
Epoch 7170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7170With loss 0.1267430099331721
epoch: 7171
Epoch 7171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7171With loss 0.1267430099331721
epoch: 7172
Epoch 7172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7172With loss 0.1267430099331721
epoch: 7173
Epoch 7173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7173With loss 0.1267430099331721
epoch: 7174
Epoch 7174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7174With loss 0.1267430099331721
epoch: 7175
Epoch 7175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7175With loss 0.1267430099331721
epoch: 7176
Epoch 7176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7176With loss 0.1267430099331721
epoch: 7177
Epoch 7177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7177With loss 0.1267430099331721
epoch: 7178
Epoch 7178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7178With loss 0.1267430099331721
epoch: 7179
Epoch 7179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7179With loss 0.1267430099331721
epoch: 7180
Epoch 7180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7180With loss 0.1267430099331721
epoch: 7181
Epoch 7181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7181With loss 0.1267430099331721
epoch: 7182
Epoch 7182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7182With loss 0.1267430099331721
epoch: 7183
Epoch 7183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7183With loss 0.1267430099331721
epoch: 7184
Epoch 7184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7184With loss 0.1267430099331721
epoch: 7185
Epoch 7185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7185With loss 0.1267430099331721
epoch: 7186
Epoch 7186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7186With loss 0.1267430099331721
epoch: 7187
Epoch 7187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7187With loss 0.1267430099331721
epoch: 7188
Epoch 7188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7188With loss 0.1267430099331721
epoch: 7189
Epoch 7189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7189With loss 0.1267430099331721
epoch: 7190
Epoch 7190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7190With loss 0.1267430099331721
epoch: 7191
Epoch 7191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7191With loss 0.1267430099331721
epoch: 7192
Epoch 7192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7192With loss 0.1267430099331721
epoch: 7193
Epoch 7193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7193With loss 0.1267430099331721
epoch: 7194
Epoch 7194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7194With loss 0.1267430099331721
epoch: 7195
Epoch 7195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7195With loss 0.1267430099331721
epoch: 7196
Epoch 7196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7196With loss 0.1267430099331721
epoch: 7197
Epoch 7197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7197With loss 0.1267430099331721
epoch: 7198
Epoch 7198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7198With loss 0.1267430099331721
epoch: 7199
Epoch 7199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7199With loss 0.1267430099331721
epoch: 7200
Epoch 7200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7200With loss 0.1267430099331721
epoch: 7201
Epoch 7201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7201With loss 0.1267430099331721
epoch: 7202
Epoch 7202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7202With loss 0.1267430099331721
epoch: 7203
Epoch 7203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7203With loss 0.1267430099331721
epoch: 7204
Epoch 7204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7204With loss 0.1267430099331721
epoch: 7205
Epoch 7205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7205With loss 0.1267430099331721
epoch: 7206
Epoch 7206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7206With loss 0.1267430099331721
epoch: 7207
Epoch 7207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7207With loss 0.1267430099331721
epoch: 7208
Epoch 7208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7208With loss 0.1267430099331721
epoch: 7209
Epoch 7209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7209With loss 0.1267430099331721
epoch: 7210
Epoch 7210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7210With loss 0.1267430099331721
epoch: 7211
Epoch 7211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7211With loss 0.1267430099331721
epoch: 7212
Epoch 7212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7212With loss 0.1267430099331721
epoch: 7213
Epoch 7213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7213With loss 0.1267430099331721
epoch: 7214
Epoch 7214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7214With loss 0.1267430099331721
epoch: 7215
Epoch 7215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7215With loss 0.1267430099331721
epoch: 7216
Epoch 7216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7216With loss 0.1267430099331721
epoch: 7217
Epoch 7217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7217With loss 0.1267430099331721
epoch: 7218
Epoch 7218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7218With loss 0.1267430099331721
epoch: 7219
Epoch 7219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7219With loss 0.1267430099331721
epoch: 7220
Epoch 7220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7220With loss 0.1267430099331721
epoch: 7221
Epoch 7221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7221With loss 0.1267430099331721
epoch: 7222
Epoch 7222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7222With loss 0.1267430099331721
epoch: 7223
Epoch 7223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7223With loss 0.1267430099331721
epoch: 7224
Epoch 7224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7224With loss 0.1267430099331721
epoch: 7225
Epoch 7225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7225With loss 0.1267430099331721
epoch: 7226
Epoch 7226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7226With loss 0.1267430099331721
epoch: 7227
Epoch 7227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7227With loss 0.1267430099331721
epoch: 7228
Epoch 7228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7228With loss 0.1267430099331721
epoch: 7229
Epoch 7229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7229With loss 0.1267430099331721
epoch: 7230
Epoch 7230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7230With loss 0.1267430099331721
epoch: 7231
Epoch 7231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7231With loss 0.1267430099331721
epoch: 7232
Epoch 7232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7232With loss 0.1267430099331721
epoch: 7233
Epoch 7233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7233With loss 0.1267430099331721
epoch: 7234
Epoch 7234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7234With loss 0.1267430099331721
epoch: 7235
Epoch 7235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7235With loss 0.1267430099331721
epoch: 7236
Epoch 7236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7236With loss 0.1267430099331721
epoch: 7237
Epoch 7237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7237With loss 0.1267430099331721
epoch: 7238
Epoch 7238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7238With loss 0.1267430099331721
epoch: 7239
Epoch 7239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7239With loss 0.1267430099331721
epoch: 7240
Epoch 7240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7240With loss 0.1267430099331721
epoch: 7241
Epoch 7241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7241With loss 0.1267430099331721
epoch: 7242
Epoch 7242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7242With loss 0.1267430099331721
epoch: 7243
Epoch 7243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7243With loss 0.1267430099331721
epoch: 7244
Epoch 7244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7244With loss 0.1267430099331721
epoch: 7245
Epoch 7245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7245With loss 0.1267430099331721
epoch: 7246
Epoch 7246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7246With loss 0.1267430099331721
epoch: 7247
Epoch 7247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7247With loss 0.1267430099331721
epoch: 7248
Epoch 7248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7248With loss 0.1267430099331721
epoch: 7249
Epoch 7249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7249With loss 0.1267430099331721
epoch: 7250
Epoch 7250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7250With loss 0.1267430099331721
epoch: 7251
Epoch 7251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7251With loss 0.1267430099331721
epoch: 7252
Epoch 7252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7252With loss 0.1267430099331721
epoch: 7253
Epoch 7253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7253With loss 0.1267430099331721
epoch: 7254
Epoch 7254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7254With loss 0.1267430099331721
epoch: 7255
Epoch 7255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7255With loss 0.1267430099331721
epoch: 7256
Epoch 7256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7256With loss 0.1267430099331721
epoch: 7257
Epoch 7257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7257With loss 0.1267430099331721
epoch: 7258
Epoch 7258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7258With loss 0.1267430099331721
epoch: 7259
Epoch 7259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7259With loss 0.1267430099331721
epoch: 7260
Epoch 7260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7260With loss 0.1267430099331721
epoch: 7261
Epoch 7261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7261With loss 0.1267430099331721
epoch: 7262
Epoch 7262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7262With loss 0.1267430099331721
epoch: 7263
Epoch 7263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7263With loss 0.1267430099331721
epoch: 7264
Epoch 7264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7264With loss 0.1267430099331721
epoch: 7265
Epoch 7265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7265With loss 0.1267430099331721
epoch: 7266
Epoch 7266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7266With loss 0.1267430099331721
epoch: 7267
Epoch 7267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7267With loss 0.1267430099331721
epoch: 7268
Epoch 7268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7268With loss 0.1267430099331721
epoch: 7269
Epoch 7269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7269With loss 0.1267430099331721
epoch: 7270
Epoch 7270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7270With loss 0.1267430099331721
epoch: 7271
Epoch 7271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7271With loss 0.1267430099331721
epoch: 7272
Epoch 7272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7272With loss 0.1267430099331721
epoch: 7273
Epoch 7273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7273With loss 0.1267430099331721
epoch: 7274
Epoch 7274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7274With loss 0.1267430099331721
epoch: 7275
Epoch 7275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7275With loss 0.1267430099331721
epoch: 7276
Epoch 7276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7276With loss 0.1267430099331721
epoch: 7277
Epoch 7277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7277With loss 0.1267430099331721
epoch: 7278
Epoch 7278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7278With loss 0.1267430099331721
epoch: 7279
Epoch 7279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7279With loss 0.1267430099331721
epoch: 7280
Epoch 7280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7280With loss 0.1267430099331721
epoch: 7281
Epoch 7281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7281With loss 0.1267430099331721
epoch: 7282
Epoch 7282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7282With loss 0.1267430099331721
epoch: 7283
Epoch 7283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7283With loss 0.1267430099331721
epoch: 7284
Epoch 7284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7284With loss 0.1267430099331721
epoch: 7285
Epoch 7285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7285With loss 0.1267430099331721
epoch: 7286
Epoch 7286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7286With loss 0.1267430099331721
epoch: 7287
Epoch 7287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7287With loss 0.1267430099331721
epoch: 7288
Epoch 7288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7288With loss 0.1267430099331721
epoch: 7289
Epoch 7289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7289With loss 0.1267430099331721
epoch: 7290
Epoch 7290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7290With loss 0.1267430099331721
epoch: 7291
Epoch 7291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7291With loss 0.1267430099331721
epoch: 7292
Epoch 7292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7292With loss 0.1267430099331721
epoch: 7293
Epoch 7293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7293With loss 0.1267430099331721
epoch: 7294
Epoch 7294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7294With loss 0.1267430099331721
epoch: 7295
Epoch 7295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7295With loss 0.1267430099331721
epoch: 7296
Epoch 7296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7296With loss 0.1267430099331721
epoch: 7297
Epoch 7297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7297With loss 0.1267430099331721
epoch: 7298
Epoch 7298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7298With loss 0.1267430099331721
epoch: 7299
Epoch 7299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7299With loss 0.1267430099331721
epoch: 7300
Epoch 7300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7300With loss 0.1267430099331721
epoch: 7301
Epoch 7301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7301With loss 0.1267430099331721
epoch: 7302
Epoch 7302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7302With loss 0.1267430099331721
epoch: 7303
Epoch 7303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7303With loss 0.1267430099331721
epoch: 7304
Epoch 7304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7304With loss 0.1267430099331721
epoch: 7305
Epoch 7305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7305With loss 0.1267430099331721
epoch: 7306
Epoch 7306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7306With loss 0.1267430099331721
epoch: 7307
Epoch 7307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7307With loss 0.1267430099331721
epoch: 7308
Epoch 7308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7308With loss 0.1267430099331721
epoch: 7309
Epoch 7309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7309With loss 0.1267430099331721
epoch: 7310
Epoch 7310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7310With loss 0.1267430099331721
epoch: 7311
Epoch 7311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7311With loss 0.1267430099331721
epoch: 7312
Epoch 7312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7312With loss 0.1267430099331721
epoch: 7313
Epoch 7313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7313With loss 0.1267430099331721
epoch: 7314
Epoch 7314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7314With loss 0.1267430099331721
epoch: 7315
Epoch 7315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7315With loss 0.1267430099331721
epoch: 7316
Epoch 7316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7316With loss 0.1267430099331721
epoch: 7317
Epoch 7317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7317With loss 0.1267430099331721
epoch: 7318
Epoch 7318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7318With loss 0.1267430099331721
epoch: 7319
Epoch 7319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7319With loss 0.1267430099331721
epoch: 7320
Epoch 7320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7320With loss 0.1267430099331721
epoch: 7321
Epoch 7321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7321With loss 0.1267430099331721
epoch: 7322
Epoch 7322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7322With loss 0.1267430099331721
epoch: 7323
Epoch 7323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7323With loss 0.1267430099331721
epoch: 7324
Epoch 7324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7324With loss 0.1267430099331721
epoch: 7325
Epoch 7325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7325With loss 0.1267430099331721
epoch: 7326
Epoch 7326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7326With loss 0.1267430099331721
epoch: 7327
Epoch 7327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7327With loss 0.1267430099331721
epoch: 7328
Epoch 7328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7328With loss 0.1267430099331721
epoch: 7329
Epoch 7329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7329With loss 0.1267430099331721
epoch: 7330
Epoch 7330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7330With loss 0.1267430099331721
epoch: 7331
Epoch 7331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7331With loss 0.1267430099331721
epoch: 7332
Epoch 7332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7332With loss 0.1267430099331721
epoch: 7333
Epoch 7333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7333With loss 0.1267430099331721
epoch: 7334
Epoch 7334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7334With loss 0.1267430099331721
epoch: 7335
Epoch 7335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7335With loss 0.1267430099331721
epoch: 7336
Epoch 7336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7336With loss 0.1267430099331721
epoch: 7337
Epoch 7337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7337With loss 0.1267430099331721
epoch: 7338
Epoch 7338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7338With loss 0.1267430099331721
epoch: 7339
Epoch 7339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7339With loss 0.1267430099331721
epoch: 7340
Epoch 7340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7340With loss 0.1267430099331721
epoch: 7341
Epoch 7341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7341With loss 0.1267430099331721
epoch: 7342
Epoch 7342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7342With loss 0.1267430099331721
epoch: 7343
Epoch 7343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7343With loss 0.1267430099331721
epoch: 7344
Epoch 7344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7344With loss 0.1267430099331721
epoch: 7345
Epoch 7345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7345With loss 0.1267430099331721
epoch: 7346
Epoch 7346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7346With loss 0.1267430099331721
epoch: 7347
Epoch 7347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7347With loss 0.1267430099331721
epoch: 7348
Epoch 7348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7348With loss 0.1267430099331721
epoch: 7349
Epoch 7349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7349With loss 0.1267430099331721
epoch: 7350
Epoch 7350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7350With loss 0.1267430099331721
epoch: 7351
Epoch 7351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7351With loss 0.1267430099331721
epoch: 7352
Epoch 7352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7352With loss 0.1267430099331721
epoch: 7353
Epoch 7353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7353With loss 0.1267430099331721
epoch: 7354
Epoch 7354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7354With loss 0.1267430099331721
epoch: 7355
Epoch 7355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7355With loss 0.1267430099331721
epoch: 7356
Epoch 7356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7356With loss 0.1267430099331721
epoch: 7357
Epoch 7357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7357With loss 0.1267430099331721
epoch: 7358
Epoch 7358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7358With loss 0.1267430099331721
epoch: 7359
Epoch 7359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7359With loss 0.1267430099331721
epoch: 7360
Epoch 7360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7360With loss 0.1267430099331721
epoch: 7361
Epoch 7361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7361With loss 0.1267430099331721
epoch: 7362
Epoch 7362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7362With loss 0.1267430099331721
epoch: 7363
Epoch 7363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7363With loss 0.1267430099331721
epoch: 7364
Epoch 7364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7364With loss 0.1267430099331721
epoch: 7365
Epoch 7365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7365With loss 0.1267430099331721
epoch: 7366
Epoch 7366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7366With loss 0.1267430099331721
epoch: 7367
Epoch 7367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7367With loss 0.1267430099331721
epoch: 7368
Epoch 7368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7368With loss 0.1267430099331721
epoch: 7369
Epoch 7369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7369With loss 0.1267430099331721
epoch: 7370
Epoch 7370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7370With loss 0.1267430099331721
epoch: 7371
Epoch 7371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7371With loss 0.1267430099331721
epoch: 7372
Epoch 7372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7372With loss 0.1267430099331721
epoch: 7373
Epoch 7373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7373With loss 0.1267430099331721
epoch: 7374
Epoch 7374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7374With loss 0.1267430099331721
epoch: 7375
Epoch 7375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7375With loss 0.1267430099331721
epoch: 7376
Epoch 7376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7376With loss 0.1267430099331721
epoch: 7377
Epoch 7377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7377With loss 0.1267430099331721
epoch: 7378
Epoch 7378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7378With loss 0.1267430099331721
epoch: 7379
Epoch 7379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7379With loss 0.1267430099331721
epoch: 7380
Epoch 7380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7380With loss 0.1267430099331721
epoch: 7381
Epoch 7381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7381With loss 0.1267430099331721
epoch: 7382
Epoch 7382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7382With loss 0.1267430099331721
epoch: 7383
Epoch 7383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7383With loss 0.1267430099331721
epoch: 7384
Epoch 7384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7384With loss 0.1267430099331721
epoch: 7385
Epoch 7385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7385With loss 0.1267430099331721
epoch: 7386
Epoch 7386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7386With loss 0.1267430099331721
epoch: 7387
Epoch 7387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7387With loss 0.1267430099331721
epoch: 7388
Epoch 7388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7388With loss 0.1267430099331721
epoch: 7389
Epoch 7389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7389With loss 0.1267430099331721
epoch: 7390
Epoch 7390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7390With loss 0.1267430099331721
epoch: 7391
Epoch 7391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7391With loss 0.1267430099331721
epoch: 7392
Epoch 7392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7392With loss 0.1267430099331721
epoch: 7393
Epoch 7393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7393With loss 0.1267430099331721
epoch: 7394
Epoch 7394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7394With loss 0.1267430099331721
epoch: 7395
Epoch 7395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7395With loss 0.1267430099331721
epoch: 7396
Epoch 7396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7396With loss 0.1267430099331721
epoch: 7397
Epoch 7397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7397With loss 0.1267430099331721
epoch: 7398
Epoch 7398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7398With loss 0.1267430099331721
epoch: 7399
Epoch 7399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7399With loss 0.1267430099331721
epoch: 7400
Epoch 7400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7400With loss 0.1267430099331721
epoch: 7401
Epoch 7401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7401With loss 0.1267430099331721
epoch: 7402
Epoch 7402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7402With loss 0.1267430099331721
epoch: 7403
Epoch 7403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7403With loss 0.1267430099331721
epoch: 7404
Epoch 7404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7404With loss 0.1267430099331721
epoch: 7405
Epoch 7405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7405With loss 0.1267430099331721
epoch: 7406
Epoch 7406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7406With loss 0.1267430099331721
epoch: 7407
Epoch 7407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7407With loss 0.1267430099331721
epoch: 7408
Epoch 7408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7408With loss 0.1267430099331721
epoch: 7409
Epoch 7409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7409With loss 0.1267430099331721
epoch: 7410
Epoch 7410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7410With loss 0.1267430099331721
epoch: 7411
Epoch 7411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7411With loss 0.1267430099331721
epoch: 7412
Epoch 7412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7412With loss 0.1267430099331721
epoch: 7413
Epoch 7413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7413With loss 0.1267430099331721
epoch: 7414
Epoch 7414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7414With loss 0.1267430099331721
epoch: 7415
Epoch 7415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7415With loss 0.1267430099331721
epoch: 7416
Epoch 7416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7416With loss 0.1267430099331721
epoch: 7417
Epoch 7417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7417With loss 0.1267430099331721
epoch: 7418
Epoch 7418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7418With loss 0.1267430099331721
epoch: 7419
Epoch 7419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7419With loss 0.1267430099331721
epoch: 7420
Epoch 7420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7420With loss 0.1267430099331721
epoch: 7421
Epoch 7421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7421With loss 0.1267430099331721
epoch: 7422
Epoch 7422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7422With loss 0.1267430099331721
epoch: 7423
Epoch 7423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7423With loss 0.1267430099331721
epoch: 7424
Epoch 7424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7424With loss 0.1267430099331721
epoch: 7425
Epoch 7425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7425With loss 0.1267430099331721
epoch: 7426
Epoch 7426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7426With loss 0.1267430099331721
epoch: 7427
Epoch 7427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7427With loss 0.1267430099331721
epoch: 7428
Epoch 7428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7428With loss 0.1267430099331721
epoch: 7429
Epoch 7429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7429With loss 0.1267430099331721
epoch: 7430
Epoch 7430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7430With loss 0.1267430099331721
epoch: 7431
Epoch 7431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7431With loss 0.1267430099331721
epoch: 7432
Epoch 7432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7432With loss 0.1267430099331721
epoch: 7433
Epoch 7433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7433With loss 0.1267430099331721
epoch: 7434
Epoch 7434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7434With loss 0.1267430099331721
epoch: 7435
Epoch 7435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7435With loss 0.1267430099331721
epoch: 7436
Epoch 7436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7436With loss 0.1267430099331721
epoch: 7437
Epoch 7437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7437With loss 0.1267430099331721
epoch: 7438
Epoch 7438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7438With loss 0.1267430099331721
epoch: 7439
Epoch 7439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7439With loss 0.1267430099331721
epoch: 7440
Epoch 7440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7440With loss 0.1267430099331721
epoch: 7441
Epoch 7441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7441With loss 0.1267430099331721
epoch: 7442
Epoch 7442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7442With loss 0.1267430099331721
epoch: 7443
Epoch 7443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7443With loss 0.1267430099331721
epoch: 7444
Epoch 7444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7444With loss 0.1267430099331721
epoch: 7445
Epoch 7445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7445With loss 0.1267430099331721
epoch: 7446
Epoch 7446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7446With loss 0.1267430099331721
epoch: 7447
Epoch 7447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7447With loss 0.1267430099331721
epoch: 7448
Epoch 7448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7448With loss 0.1267430099331721
epoch: 7449
Epoch 7449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7449With loss 0.1267430099331721
epoch: 7450
Epoch 7450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7450With loss 0.1267430099331721
epoch: 7451
Epoch 7451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7451With loss 0.1267430099331721
epoch: 7452
Epoch 7452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7452With loss 0.1267430099331721
epoch: 7453
Epoch 7453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7453With loss 0.1267430099331721
epoch: 7454
Epoch 7454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7454With loss 0.1267430099331721
epoch: 7455
Epoch 7455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7455With loss 0.1267430099331721
epoch: 7456
Epoch 7456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7456With loss 0.1267430099331721
epoch: 7457
Epoch 7457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7457With loss 0.1267430099331721
epoch: 7458
Epoch 7458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7458With loss 0.1267430099331721
epoch: 7459
Epoch 7459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7459With loss 0.1267430099331721
epoch: 7460
Epoch 7460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7460With loss 0.1267430099331721
epoch: 7461
Epoch 7461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7461With loss 0.1267430099331721
epoch: 7462
Epoch 7462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7462With loss 0.1267430099331721
epoch: 7463
Epoch 7463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7463With loss 0.1267430099331721
epoch: 7464
Epoch 7464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7464With loss 0.1267430099331721
epoch: 7465
Epoch 7465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7465With loss 0.1267430099331721
epoch: 7466
Epoch 7466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7466With loss 0.1267430099331721
epoch: 7467
Epoch 7467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7467With loss 0.1267430099331721
epoch: 7468
Epoch 7468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7468With loss 0.1267430099331721
epoch: 7469
Epoch 7469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7469With loss 0.1267430099331721
epoch: 7470
Epoch 7470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7470With loss 0.1267430099331721
epoch: 7471
Epoch 7471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7471With loss 0.1267430099331721
epoch: 7472
Epoch 7472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7472With loss 0.1267430099331721
epoch: 7473
Epoch 7473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7473With loss 0.1267430099331721
epoch: 7474
Epoch 7474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7474With loss 0.1267430099331721
epoch: 7475
Epoch 7475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7475With loss 0.1267430099331721
epoch: 7476
Epoch 7476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7476With loss 0.1267430099331721
epoch: 7477
Epoch 7477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7477With loss 0.1267430099331721
epoch: 7478
Epoch 7478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7478With loss 0.1267430099331721
epoch: 7479
Epoch 7479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7479With loss 0.1267430099331721
epoch: 7480
Epoch 7480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7480With loss 0.1267430099331721
epoch: 7481
Epoch 7481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7481With loss 0.1267430099331721
epoch: 7482
Epoch 7482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7482With loss 0.1267430099331721
epoch: 7483
Epoch 7483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7483With loss 0.1267430099331721
epoch: 7484
Epoch 7484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7484With loss 0.1267430099331721
epoch: 7485
Epoch 7485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7485With loss 0.1267430099331721
epoch: 7486
Epoch 7486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7486With loss 0.1267430099331721
epoch: 7487
Epoch 7487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7487With loss 0.1267430099331721
epoch: 7488
Epoch 7488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7488With loss 0.1267430099331721
epoch: 7489
Epoch 7489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7489With loss 0.1267430099331721
epoch: 7490
Epoch 7490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7490With loss 0.1267430099331721
epoch: 7491
Epoch 7491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7491With loss 0.1267430099331721
epoch: 7492
Epoch 7492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7492With loss 0.1267430099331721
epoch: 7493
Epoch 7493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7493With loss 0.1267430099331721
epoch: 7494
Epoch 7494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7494With loss 0.1267430099331721
epoch: 7495
Epoch 7495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7495With loss 0.1267430099331721
epoch: 7496
Epoch 7496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7496With loss 0.1267430099331721
epoch: 7497
Epoch 7497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7497With loss 0.1267430099331721
epoch: 7498
Epoch 7498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7498With loss 0.1267430099331721
epoch: 7499
Epoch 7499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7499With loss 0.1267430099331721
epoch: 7500
Epoch 7500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7500With loss 0.1267430099331721
epoch: 7501
Epoch 7501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7501With loss 0.1267430099331721
epoch: 7502
Epoch 7502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7502With loss 0.1267430099331721
epoch: 7503
Epoch 7503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7503With loss 0.1267430099331721
epoch: 7504
Epoch 7504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7504With loss 0.1267430099331721
epoch: 7505
Epoch 7505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7505With loss 0.1267430099331721
epoch: 7506
Epoch 7506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7506With loss 0.1267430099331721
epoch: 7507
Epoch 7507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7507With loss 0.1267430099331721
epoch: 7508
Epoch 7508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7508With loss 0.1267430099331721
epoch: 7509
Epoch 7509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7509With loss 0.1267430099331721
epoch: 7510
Epoch 7510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7510With loss 0.1267430099331721
epoch: 7511
Epoch 7511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7511With loss 0.1267430099331721
epoch: 7512
Epoch 7512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7512With loss 0.1267430099331721
epoch: 7513
Epoch 7513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7513With loss 0.1267430099331721
epoch: 7514
Epoch 7514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7514With loss 0.1267430099331721
epoch: 7515
Epoch 7515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7515With loss 0.1267430099331721
epoch: 7516
Epoch 7516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7516With loss 0.1267430099331721
epoch: 7517
Epoch 7517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7517With loss 0.1267430099331721
epoch: 7518
Epoch 7518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7518With loss 0.1267430099331721
epoch: 7519
Epoch 7519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7519With loss 0.1267430099331721
epoch: 7520
Epoch 7520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7520With loss 0.1267430099331721
epoch: 7521
Epoch 7521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7521With loss 0.1267430099331721
epoch: 7522
Epoch 7522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7522With loss 0.1267430099331721
epoch: 7523
Epoch 7523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7523With loss 0.1267430099331721
epoch: 7524
Epoch 7524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7524With loss 0.1267430099331721
epoch: 7525
Epoch 7525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7525With loss 0.1267430099331721
epoch: 7526
Epoch 7526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7526With loss 0.1267430099331721
epoch: 7527
Epoch 7527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7527With loss 0.1267430099331721
epoch: 7528
Epoch 7528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7528With loss 0.1267430099331721
epoch: 7529
Epoch 7529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7529With loss 0.1267430099331721
epoch: 7530
Epoch 7530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7530With loss 0.1267430099331721
epoch: 7531
Epoch 7531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7531With loss 0.1267430099331721
epoch: 7532
Epoch 7532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7532With loss 0.1267430099331721
epoch: 7533
Epoch 7533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7533With loss 0.1267430099331721
epoch: 7534
Epoch 7534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7534With loss 0.1267430099331721
epoch: 7535
Epoch 7535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7535With loss 0.1267430099331721
epoch: 7536
Epoch 7536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7536With loss 0.1267430099331721
epoch: 7537
Epoch 7537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7537With loss 0.1267430099331721
epoch: 7538
Epoch 7538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7538With loss 0.1267430099331721
epoch: 7539
Epoch 7539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7539With loss 0.1267430099331721
epoch: 7540
Epoch 7540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7540With loss 0.1267430099331721
epoch: 7541
Epoch 7541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7541With loss 0.1267430099331721
epoch: 7542
Epoch 7542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7542With loss 0.1267430099331721
epoch: 7543
Epoch 7543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7543With loss 0.1267430099331721
epoch: 7544
Epoch 7544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7544With loss 0.1267430099331721
epoch: 7545
Epoch 7545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7545With loss 0.1267430099331721
epoch: 7546
Epoch 7546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7546With loss 0.1267430099331721
epoch: 7547
Epoch 7547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7547With loss 0.1267430099331721
epoch: 7548
Epoch 7548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7548With loss 0.1267430099331721
epoch: 7549
Epoch 7549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7549With loss 0.1267430099331721
epoch: 7550
Epoch 7550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7550With loss 0.1267430099331721
epoch: 7551
Epoch 7551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7551With loss 0.1267430099331721
epoch: 7552
Epoch 7552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7552With loss 0.1267430099331721
epoch: 7553
Epoch 7553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7553With loss 0.1267430099331721
epoch: 7554
Epoch 7554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7554With loss 0.1267430099331721
epoch: 7555
Epoch 7555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7555With loss 0.1267430099331721
epoch: 7556
Epoch 7556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7556With loss 0.1267430099331721
epoch: 7557
Epoch 7557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7557With loss 0.1267430099331721
epoch: 7558
Epoch 7558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7558With loss 0.1267430099331721
epoch: 7559
Epoch 7559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7559With loss 0.1267430099331721
epoch: 7560
Epoch 7560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7560With loss 0.1267430099331721
epoch: 7561
Epoch 7561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7561With loss 0.1267430099331721
epoch: 7562
Epoch 7562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7562With loss 0.1267430099331721
epoch: 7563
Epoch 7563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7563With loss 0.1267430099331721
epoch: 7564
Epoch 7564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7564With loss 0.1267430099331721
epoch: 7565
Epoch 7565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7565With loss 0.1267430099331721
epoch: 7566
Epoch 7566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7566With loss 0.1267430099331721
epoch: 7567
Epoch 7567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7567With loss 0.1267430099331721
epoch: 7568
Epoch 7568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7568With loss 0.1267430099331721
epoch: 7569
Epoch 7569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7569With loss 0.1267430099331721
epoch: 7570
Epoch 7570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7570With loss 0.1267430099331721
epoch: 7571
Epoch 7571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7571With loss 0.1267430099331721
epoch: 7572
Epoch 7572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7572With loss 0.1267430099331721
epoch: 7573
Epoch 7573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7573With loss 0.1267430099331721
epoch: 7574
Epoch 7574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7574With loss 0.1267430099331721
epoch: 7575
Epoch 7575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7575With loss 0.1267430099331721
epoch: 7576
Epoch 7576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7576With loss 0.1267430099331721
epoch: 7577
Epoch 7577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7577With loss 0.1267430099331721
epoch: 7578
Epoch 7578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7578With loss 0.1267430099331721
epoch: 7579
Epoch 7579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7579With loss 0.1267430099331721
epoch: 7580
Epoch 7580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7580With loss 0.1267430099331721
epoch: 7581
Epoch 7581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7581With loss 0.1267430099331721
epoch: 7582
Epoch 7582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7582With loss 0.1267430099331721
epoch: 7583
Epoch 7583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7583With loss 0.1267430099331721
epoch: 7584
Epoch 7584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7584With loss 0.1267430099331721
epoch: 7585
Epoch 7585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7585With loss 0.1267430099331721
epoch: 7586
Epoch 7586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7586With loss 0.1267430099331721
epoch: 7587
Epoch 7587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7587With loss 0.1267430099331721
epoch: 7588
Epoch 7588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7588With loss 0.1267430099331721
epoch: 7589
Epoch 7589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7589With loss 0.1267430099331721
epoch: 7590
Epoch 7590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7590With loss 0.1267430099331721
epoch: 7591
Epoch 7591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7591With loss 0.1267430099331721
epoch: 7592
Epoch 7592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7592With loss 0.1267430099331721
epoch: 7593
Epoch 7593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7593With loss 0.1267430099331721
epoch: 7594
Epoch 7594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7594With loss 0.1267430099331721
epoch: 7595
Epoch 7595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7595With loss 0.1267430099331721
epoch: 7596
Epoch 7596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7596With loss 0.1267430099331721
epoch: 7597
Epoch 7597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7597With loss 0.1267430099331721
epoch: 7598
Epoch 7598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7598With loss 0.1267430099331721
epoch: 7599
Epoch 7599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7599With loss 0.1267430099331721
epoch: 7600
Epoch 7600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7600With loss 0.1267430099331721
epoch: 7601
Epoch 7601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7601With loss 0.1267430099331721
epoch: 7602
Epoch 7602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7602With loss 0.1267430099331721
epoch: 7603
Epoch 7603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7603With loss 0.1267430099331721
epoch: 7604
Epoch 7604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7604With loss 0.1267430099331721
epoch: 7605
Epoch 7605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7605With loss 0.1267430099331721
epoch: 7606
Epoch 7606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7606With loss 0.1267430099331721
epoch: 7607
Epoch 7607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7607With loss 0.1267430099331721
epoch: 7608
Epoch 7608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7608With loss 0.1267430099331721
epoch: 7609
Epoch 7609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7609With loss 0.1267430099331721
epoch: 7610
Epoch 7610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7610With loss 0.1267430099331721
epoch: 7611
Epoch 7611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7611With loss 0.1267430099331721
epoch: 7612
Epoch 7612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7612With loss 0.1267430099331721
epoch: 7613
Epoch 7613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7613With loss 0.1267430099331721
epoch: 7614
Epoch 7614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7614With loss 0.1267430099331721
epoch: 7615
Epoch 7615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7615With loss 0.1267430099331721
epoch: 7616
Epoch 7616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7616With loss 0.1267430099331721
epoch: 7617
Epoch 7617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7617With loss 0.1267430099331721
epoch: 7618
Epoch 7618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7618With loss 0.1267430099331721
epoch: 7619
Epoch 7619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7619With loss 0.1267430099331721
epoch: 7620
Epoch 7620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7620With loss 0.1267430099331721
epoch: 7621
Epoch 7621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7621With loss 0.1267430099331721
epoch: 7622
Epoch 7622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7622With loss 0.1267430099331721
epoch: 7623
Epoch 7623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7623With loss 0.1267430099331721
epoch: 7624
Epoch 7624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7624With loss 0.1267430099331721
epoch: 7625
Epoch 7625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7625With loss 0.1267430099331721
epoch: 7626
Epoch 7626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7626With loss 0.1267430099331721
epoch: 7627
Epoch 7627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7627With loss 0.1267430099331721
epoch: 7628
Epoch 7628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7628With loss 0.1267430099331721
epoch: 7629
Epoch 7629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7629With loss 0.1267430099331721
epoch: 7630
Epoch 7630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7630With loss 0.1267430099331721
epoch: 7631
Epoch 7631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7631With loss 0.1267430099331721
epoch: 7632
Epoch 7632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7632With loss 0.1267430099331721
epoch: 7633
Epoch 7633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7633With loss 0.1267430099331721
epoch: 7634
Epoch 7634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7634With loss 0.1267430099331721
epoch: 7635
Epoch 7635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7635With loss 0.1267430099331721
epoch: 7636
Epoch 7636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7636With loss 0.1267430099331721
epoch: 7637
Epoch 7637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7637With loss 0.1267430099331721
epoch: 7638
Epoch 7638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7638With loss 0.1267430099331721
epoch: 7639
Epoch 7639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7639With loss 0.1267430099331721
epoch: 7640
Epoch 7640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7640With loss 0.1267430099331721
epoch: 7641
Epoch 7641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7641With loss 0.1267430099331721
epoch: 7642
Epoch 7642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7642With loss 0.1267430099331721
epoch: 7643
Epoch 7643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7643With loss 0.1267430099331721
epoch: 7644
Epoch 7644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7644With loss 0.1267430099331721
epoch: 7645
Epoch 7645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7645With loss 0.1267430099331721
epoch: 7646
Epoch 7646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7646With loss 0.1267430099331721
epoch: 7647
Epoch 7647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7647With loss 0.1267430099331721
epoch: 7648
Epoch 7648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7648With loss 0.1267430099331721
epoch: 7649
Epoch 7649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7649With loss 0.1267430099331721
epoch: 7650
Epoch 7650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7650With loss 0.1267430099331721
epoch: 7651
Epoch 7651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7651With loss 0.1267430099331721
epoch: 7652
Epoch 7652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7652With loss 0.1267430099331721
epoch: 7653
Epoch 7653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7653With loss 0.1267430099331721
epoch: 7654
Epoch 7654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7654With loss 0.1267430099331721
epoch: 7655
Epoch 7655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7655With loss 0.1267430099331721
epoch: 7656
Epoch 7656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7656With loss 0.1267430099331721
epoch: 7657
Epoch 7657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7657With loss 0.1267430099331721
epoch: 7658
Epoch 7658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7658With loss 0.1267430099331721
epoch: 7659
Epoch 7659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7659With loss 0.1267430099331721
epoch: 7660
Epoch 7660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7660With loss 0.1267430099331721
epoch: 7661
Epoch 7661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7661With loss 0.1267430099331721
epoch: 7662
Epoch 7662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7662With loss 0.1267430099331721
epoch: 7663
Epoch 7663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7663With loss 0.1267430099331721
epoch: 7664
Epoch 7664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7664With loss 0.1267430099331721
epoch: 7665
Epoch 7665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7665With loss 0.1267430099331721
epoch: 7666
Epoch 7666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7666With loss 0.1267430099331721
epoch: 7667
Epoch 7667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7667With loss 0.1267430099331721
epoch: 7668
Epoch 7668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7668With loss 0.1267430099331721
epoch: 7669
Epoch 7669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7669With loss 0.1267430099331721
epoch: 7670
Epoch 7670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7670With loss 0.1267430099331721
epoch: 7671
Epoch 7671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7671With loss 0.1267430099331721
epoch: 7672
Epoch 7672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7672With loss 0.1267430099331721
epoch: 7673
Epoch 7673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7673With loss 0.1267430099331721
epoch: 7674
Epoch 7674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7674With loss 0.1267430099331721
epoch: 7675
Epoch 7675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7675With loss 0.1267430099331721
epoch: 7676
Epoch 7676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7676With loss 0.1267430099331721
epoch: 7677
Epoch 7677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7677With loss 0.1267430099331721
epoch: 7678
Epoch 7678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7678With loss 0.1267430099331721
epoch: 7679
Epoch 7679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7679With loss 0.1267430099331721
epoch: 7680
Epoch 7680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7680With loss 0.1267430099331721
epoch: 7681
Epoch 7681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7681With loss 0.1267430099331721
epoch: 7682
Epoch 7682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7682With loss 0.1267430099331721
epoch: 7683
Epoch 7683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7683With loss 0.1267430099331721
epoch: 7684
Epoch 7684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7684With loss 0.1267430099331721
epoch: 7685
Epoch 7685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7685With loss 0.1267430099331721
epoch: 7686
Epoch 7686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7686With loss 0.1267430099331721
epoch: 7687
Epoch 7687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7687With loss 0.1267430099331721
epoch: 7688
Epoch 7688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7688With loss 0.1267430099331721
epoch: 7689
Epoch 7689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7689With loss 0.1267430099331721
epoch: 7690
Epoch 7690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7690With loss 0.1267430099331721
epoch: 7691
Epoch 7691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7691With loss 0.1267430099331721
epoch: 7692
Epoch 7692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7692With loss 0.1267430099331721
epoch: 7693
Epoch 7693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7693With loss 0.1267430099331721
epoch: 7694
Epoch 7694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7694With loss 0.1267430099331721
epoch: 7695
Epoch 7695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7695With loss 0.1267430099331721
epoch: 7696
Epoch 7696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7696With loss 0.1267430099331721
epoch: 7697
Epoch 7697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7697With loss 0.1267430099331721
epoch: 7698
Epoch 7698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7698With loss 0.1267430099331721
epoch: 7699
Epoch 7699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7699With loss 0.1267430099331721
epoch: 7700
Epoch 7700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7700With loss 0.1267430099331721
epoch: 7701
Epoch 7701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7701With loss 0.1267430099331721
epoch: 7702
Epoch 7702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7702With loss 0.1267430099331721
epoch: 7703
Epoch 7703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7703With loss 0.1267430099331721
epoch: 7704
Epoch 7704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7704With loss 0.1267430099331721
epoch: 7705
Epoch 7705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7705With loss 0.1267430099331721
epoch: 7706
Epoch 7706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7706With loss 0.1267430099331721
epoch: 7707
Epoch 7707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7707With loss 0.1267430099331721
epoch: 7708
Epoch 7708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7708With loss 0.1267430099331721
epoch: 7709
Epoch 7709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7709With loss 0.1267430099331721
epoch: 7710
Epoch 7710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7710With loss 0.1267430099331721
epoch: 7711
Epoch 7711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7711With loss 0.1267430099331721
epoch: 7712
Epoch 7712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7712With loss 0.1267430099331721
epoch: 7713
Epoch 7713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7713With loss 0.1267430099331721
epoch: 7714
Epoch 7714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7714With loss 0.1267430099331721
epoch: 7715
Epoch 7715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7715With loss 0.1267430099331721
epoch: 7716
Epoch 7716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7716With loss 0.1267430099331721
epoch: 7717
Epoch 7717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7717With loss 0.1267430099331721
epoch: 7718
Epoch 7718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7718With loss 0.1267430099331721
epoch: 7719
Epoch 7719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7719With loss 0.1267430099331721
epoch: 7720
Epoch 7720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7720With loss 0.1267430099331721
epoch: 7721
Epoch 7721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7721With loss 0.1267430099331721
epoch: 7722
Epoch 7722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7722With loss 0.1267430099331721
epoch: 7723
Epoch 7723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7723With loss 0.1267430099331721
epoch: 7724
Epoch 7724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7724With loss 0.1267430099331721
epoch: 7725
Epoch 7725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7725With loss 0.1267430099331721
epoch: 7726
Epoch 7726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7726With loss 0.1267430099331721
epoch: 7727
Epoch 7727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7727With loss 0.1267430099331721
epoch: 7728
Epoch 7728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7728With loss 0.1267430099331721
epoch: 7729
Epoch 7729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7729With loss 0.1267430099331721
epoch: 7730
Epoch 7730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7730With loss 0.1267430099331721
epoch: 7731
Epoch 7731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7731With loss 0.1267430099331721
epoch: 7732
Epoch 7732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7732With loss 0.1267430099331721
epoch: 7733
Epoch 7733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7733With loss 0.1267430099331721
epoch: 7734
Epoch 7734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7734With loss 0.1267430099331721
epoch: 7735
Epoch 7735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7735With loss 0.1267430099331721
epoch: 7736
Epoch 7736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7736With loss 0.1267430099331721
epoch: 7737
Epoch 7737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7737With loss 0.1267430099331721
epoch: 7738
Epoch 7738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7738With loss 0.1267430099331721
epoch: 7739
Epoch 7739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7739With loss 0.1267430099331721
epoch: 7740
Epoch 7740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7740With loss 0.1267430099331721
epoch: 7741
Epoch 7741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7741With loss 0.1267430099331721
epoch: 7742
Epoch 7742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7742With loss 0.1267430099331721
epoch: 7743
Epoch 7743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7743With loss 0.1267430099331721
epoch: 7744
Epoch 7744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7744With loss 0.1267430099331721
epoch: 7745
Epoch 7745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7745With loss 0.1267430099331721
epoch: 7746
Epoch 7746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7746With loss 0.1267430099331721
epoch: 7747
Epoch 7747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7747With loss 0.1267430099331721
epoch: 7748
Epoch 7748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7748With loss 0.1267430099331721
epoch: 7749
Epoch 7749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7749With loss 0.1267430099331721
epoch: 7750
Epoch 7750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7750With loss 0.1267430099331721
epoch: 7751
Epoch 7751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7751With loss 0.1267430099331721
epoch: 7752
Epoch 7752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7752With loss 0.1267430099331721
epoch: 7753
Epoch 7753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7753With loss 0.1267430099331721
epoch: 7754
Epoch 7754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7754With loss 0.1267430099331721
epoch: 7755
Epoch 7755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7755With loss 0.1267430099331721
epoch: 7756
Epoch 7756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7756With loss 0.1267430099331721
epoch: 7757
Epoch 7757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7757With loss 0.1267430099331721
epoch: 7758
Epoch 7758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7758With loss 0.1267430099331721
epoch: 7759
Epoch 7759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7759With loss 0.1267430099331721
epoch: 7760
Epoch 7760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7760With loss 0.1267430099331721
epoch: 7761
Epoch 7761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7761With loss 0.1267430099331721
epoch: 7762
Epoch 7762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7762With loss 0.1267430099331721
epoch: 7763
Epoch 7763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7763With loss 0.1267430099331721
epoch: 7764
Epoch 7764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7764With loss 0.1267430099331721
epoch: 7765
Epoch 7765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7765With loss 0.1267430099331721
epoch: 7766
Epoch 7766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7766With loss 0.1267430099331721
epoch: 7767
Epoch 7767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7767With loss 0.1267430099331721
epoch: 7768
Epoch 7768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7768With loss 0.1267430099331721
epoch: 7769
Epoch 7769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7769With loss 0.1267430099331721
epoch: 7770
Epoch 7770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7770With loss 0.1267430099331721
epoch: 7771
Epoch 7771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7771With loss 0.1267430099331721
epoch: 7772
Epoch 7772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7772With loss 0.1267430099331721
epoch: 7773
Epoch 7773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7773With loss 0.1267430099331721
epoch: 7774
Epoch 7774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7774With loss 0.1267430099331721
epoch: 7775
Epoch 7775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7775With loss 0.1267430099331721
epoch: 7776
Epoch 7776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7776With loss 0.1267430099331721
epoch: 7777
Epoch 7777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7777With loss 0.1267430099331721
epoch: 7778
Epoch 7778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7778With loss 0.1267430099331721
epoch: 7779
Epoch 7779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7779With loss 0.1267430099331721
epoch: 7780
Epoch 7780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7780With loss 0.1267430099331721
epoch: 7781
Epoch 7781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7781With loss 0.1267430099331721
epoch: 7782
Epoch 7782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7782With loss 0.1267430099331721
epoch: 7783
Epoch 7783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7783With loss 0.1267430099331721
epoch: 7784
Epoch 7784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7784With loss 0.1267430099331721
epoch: 7785
Epoch 7785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7785With loss 0.1267430099331721
epoch: 7786
Epoch 7786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7786With loss 0.1267430099331721
epoch: 7787
Epoch 7787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7787With loss 0.1267430099331721
epoch: 7788
Epoch 7788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7788With loss 0.1267430099331721
epoch: 7789
Epoch 7789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7789With loss 0.1267430099331721
epoch: 7790
Epoch 7790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7790With loss 0.1267430099331721
epoch: 7791
Epoch 7791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7791With loss 0.1267430099331721
epoch: 7792
Epoch 7792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7792With loss 0.1267430099331721
epoch: 7793
Epoch 7793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7793With loss 0.1267430099331721
epoch: 7794
Epoch 7794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7794With loss 0.1267430099331721
epoch: 7795
Epoch 7795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7795With loss 0.1267430099331721
epoch: 7796
Epoch 7796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7796With loss 0.1267430099331721
epoch: 7797
Epoch 7797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7797With loss 0.1267430099331721
epoch: 7798
Epoch 7798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7798With loss 0.1267430099331721
epoch: 7799
Epoch 7799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7799With loss 0.1267430099331721
epoch: 7800
Epoch 7800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7800With loss 0.1267430099331721
epoch: 7801
Epoch 7801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7801With loss 0.1267430099331721
epoch: 7802
Epoch 7802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7802With loss 0.1267430099331721
epoch: 7803
Epoch 7803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7803With loss 0.1267430099331721
epoch: 7804
Epoch 7804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7804With loss 0.1267430099331721
epoch: 7805
Epoch 7805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7805With loss 0.1267430099331721
epoch: 7806
Epoch 7806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7806With loss 0.1267430099331721
epoch: 7807
Epoch 7807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7807With loss 0.1267430099331721
epoch: 7808
Epoch 7808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7808With loss 0.1267430099331721
epoch: 7809
Epoch 7809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7809With loss 0.1267430099331721
epoch: 7810
Epoch 7810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7810With loss 0.1267430099331721
epoch: 7811
Epoch 7811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7811With loss 0.1267430099331721
epoch: 7812
Epoch 7812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7812With loss 0.1267430099331721
epoch: 7813
Epoch 7813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7813With loss 0.1267430099331721
epoch: 7814
Epoch 7814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7814With loss 0.1267430099331721
epoch: 7815
Epoch 7815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7815With loss 0.1267430099331721
epoch: 7816
Epoch 7816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7816With loss 0.1267430099331721
epoch: 7817
Epoch 7817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7817With loss 0.1267430099331721
epoch: 7818
Epoch 7818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7818With loss 0.1267430099331721
epoch: 7819
Epoch 7819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7819With loss 0.1267430099331721
epoch: 7820
Epoch 7820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7820With loss 0.1267430099331721
epoch: 7821
Epoch 7821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7821With loss 0.1267430099331721
epoch: 7822
Epoch 7822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7822With loss 0.1267430099331721
epoch: 7823
Epoch 7823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7823With loss 0.1267430099331721
epoch: 7824
Epoch 7824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7824With loss 0.1267430099331721
epoch: 7825
Epoch 7825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7825With loss 0.1267430099331721
epoch: 7826
Epoch 7826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7826With loss 0.1267430099331721
epoch: 7827
Epoch 7827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7827With loss 0.1267430099331721
epoch: 7828
Epoch 7828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7828With loss 0.1267430099331721
epoch: 7829
Epoch 7829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7829With loss 0.1267430099331721
epoch: 7830
Epoch 7830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7830With loss 0.1267430099331721
epoch: 7831
Epoch 7831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7831With loss 0.1267430099331721
epoch: 7832
Epoch 7832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7832With loss 0.1267430099331721
epoch: 7833
Epoch 7833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7833With loss 0.1267430099331721
epoch: 7834
Epoch 7834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7834With loss 0.1267430099331721
epoch: 7835
Epoch 7835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7835With loss 0.1267430099331721
epoch: 7836
Epoch 7836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7836With loss 0.1267430099331721
epoch: 7837
Epoch 7837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7837With loss 0.1267430099331721
epoch: 7838
Epoch 7838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7838With loss 0.1267430099331721
epoch: 7839
Epoch 7839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7839With loss 0.1267430099331721
epoch: 7840
Epoch 7840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7840With loss 0.1267430099331721
epoch: 7841
Epoch 7841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7841With loss 0.1267430099331721
epoch: 7842
Epoch 7842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7842With loss 0.1267430099331721
epoch: 7843
Epoch 7843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7843With loss 0.1267430099331721
epoch: 7844
Epoch 7844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7844With loss 0.1267430099331721
epoch: 7845
Epoch 7845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7845With loss 0.1267430099331721
epoch: 7846
Epoch 7846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7846With loss 0.1267430099331721
epoch: 7847
Epoch 7847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7847With loss 0.1267430099331721
epoch: 7848
Epoch 7848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7848With loss 0.1267430099331721
epoch: 7849
Epoch 7849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7849With loss 0.1267430099331721
epoch: 7850
Epoch 7850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7850With loss 0.1267430099331721
epoch: 7851
Epoch 7851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7851With loss 0.1267430099331721
epoch: 7852
Epoch 7852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7852With loss 0.1267430099331721
epoch: 7853
Epoch 7853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7853With loss 0.1267430099331721
epoch: 7854
Epoch 7854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7854With loss 0.1267430099331721
epoch: 7855
Epoch 7855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7855With loss 0.1267430099331721
epoch: 7856
Epoch 7856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7856With loss 0.1267430099331721
epoch: 7857
Epoch 7857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7857With loss 0.1267430099331721
epoch: 7858
Epoch 7858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7858With loss 0.1267430099331721
epoch: 7859
Epoch 7859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7859With loss 0.1267430099331721
epoch: 7860
Epoch 7860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7860With loss 0.1267430099331721
epoch: 7861
Epoch 7861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7861With loss 0.1267430099331721
epoch: 7862
Epoch 7862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7862With loss 0.1267430099331721
epoch: 7863
Epoch 7863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7863With loss 0.1267430099331721
epoch: 7864
Epoch 7864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7864With loss 0.1267430099331721
epoch: 7865
Epoch 7865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7865With loss 0.1267430099331721
epoch: 7866
Epoch 7866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7866With loss 0.1267430099331721
epoch: 7867
Epoch 7867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7867With loss 0.1267430099331721
epoch: 7868
Epoch 7868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7868With loss 0.1267430099331721
epoch: 7869
Epoch 7869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7869With loss 0.1267430099331721
epoch: 7870
Epoch 7870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7870With loss 0.1267430099331721
epoch: 7871
Epoch 7871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7871With loss 0.1267430099331721
epoch: 7872
Epoch 7872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7872With loss 0.1267430099331721
epoch: 7873
Epoch 7873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7873With loss 0.1267430099331721
epoch: 7874
Epoch 7874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7874With loss 0.1267430099331721
epoch: 7875
Epoch 7875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7875With loss 0.1267430099331721
epoch: 7876
Epoch 7876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7876With loss 0.1267430099331721
epoch: 7877
Epoch 7877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7877With loss 0.1267430099331721
epoch: 7878
Epoch 7878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7878With loss 0.1267430099331721
epoch: 7879
Epoch 7879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7879With loss 0.1267430099331721
epoch: 7880
Epoch 7880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7880With loss 0.1267430099331721
epoch: 7881
Epoch 7881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7881With loss 0.1267430099331721
epoch: 7882
Epoch 7882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7882With loss 0.1267430099331721
epoch: 7883
Epoch 7883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7883With loss 0.1267430099331721
epoch: 7884
Epoch 7884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7884With loss 0.1267430099331721
epoch: 7885
Epoch 7885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7885With loss 0.1267430099331721
epoch: 7886
Epoch 7886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7886With loss 0.1267430099331721
epoch: 7887
Epoch 7887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7887With loss 0.1267430099331721
epoch: 7888
Epoch 7888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7888With loss 0.1267430099331721
epoch: 7889
Epoch 7889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7889With loss 0.1267430099331721
epoch: 7890
Epoch 7890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7890With loss 0.1267430099331721
epoch: 7891
Epoch 7891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7891With loss 0.1267430099331721
epoch: 7892
Epoch 7892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7892With loss 0.1267430099331721
epoch: 7893
Epoch 7893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7893With loss 0.1267430099331721
epoch: 7894
Epoch 7894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7894With loss 0.1267430099331721
epoch: 7895
Epoch 7895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7895With loss 0.1267430099331721
epoch: 7896
Epoch 7896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7896With loss 0.1267430099331721
epoch: 7897
Epoch 7897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7897With loss 0.1267430099331721
epoch: 7898
Epoch 7898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7898With loss 0.1267430099331721
epoch: 7899
Epoch 7899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7899With loss 0.1267430099331721
epoch: 7900
Epoch 7900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7900With loss 0.1267430099331721
epoch: 7901
Epoch 7901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7901With loss 0.1267430099331721
epoch: 7902
Epoch 7902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7902With loss 0.1267430099331721
epoch: 7903
Epoch 7903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7903With loss 0.1267430099331721
epoch: 7904
Epoch 7904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7904With loss 0.1267430099331721
epoch: 7905
Epoch 7905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7905With loss 0.1267430099331721
epoch: 7906
Epoch 7906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7906With loss 0.1267430099331721
epoch: 7907
Epoch 7907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7907With loss 0.1267430099331721
epoch: 7908
Epoch 7908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7908With loss 0.1267430099331721
epoch: 7909
Epoch 7909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7909With loss 0.1267430099331721
epoch: 7910
Epoch 7910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7910With loss 0.1267430099331721
epoch: 7911
Epoch 7911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7911With loss 0.1267430099331721
epoch: 7912
Epoch 7912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7912With loss 0.1267430099331721
epoch: 7913
Epoch 7913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7913With loss 0.1267430099331721
epoch: 7914
Epoch 7914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7914With loss 0.1267430099331721
epoch: 7915
Epoch 7915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7915With loss 0.1267430099331721
epoch: 7916
Epoch 7916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7916With loss 0.1267430099331721
epoch: 7917
Epoch 7917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7917With loss 0.1267430099331721
epoch: 7918
Epoch 7918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7918With loss 0.1267430099331721
epoch: 7919
Epoch 7919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7919With loss 0.1267430099331721
epoch: 7920
Epoch 7920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7920With loss 0.1267430099331721
epoch: 7921
Epoch 7921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7921With loss 0.1267430099331721
epoch: 7922
Epoch 7922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7922With loss 0.1267430099331721
epoch: 7923
Epoch 7923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7923With loss 0.1267430099331721
epoch: 7924
Epoch 7924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7924With loss 0.1267430099331721
epoch: 7925
Epoch 7925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7925With loss 0.1267430099331721
epoch: 7926
Epoch 7926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7926With loss 0.1267430099331721
epoch: 7927
Epoch 7927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7927With loss 0.1267430099331721
epoch: 7928
Epoch 7928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7928With loss 0.1267430099331721
epoch: 7929
Epoch 7929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7929With loss 0.1267430099331721
epoch: 7930
Epoch 7930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7930With loss 0.1267430099331721
epoch: 7931
Epoch 7931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7931With loss 0.1267430099331721
epoch: 7932
Epoch 7932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7932With loss 0.1267430099331721
epoch: 7933
Epoch 7933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7933With loss 0.1267430099331721
epoch: 7934
Epoch 7934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7934With loss 0.1267430099331721
epoch: 7935
Epoch 7935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7935With loss 0.1267430099331721
epoch: 7936
Epoch 7936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7936With loss 0.1267430099331721
epoch: 7937
Epoch 7937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7937With loss 0.1267430099331721
epoch: 7938
Epoch 7938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7938With loss 0.1267430099331721
epoch: 7939
Epoch 7939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7939With loss 0.1267430099331721
epoch: 7940
Epoch 7940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7940With loss 0.1267430099331721
epoch: 7941
Epoch 7941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7941With loss 0.1267430099331721
epoch: 7942
Epoch 7942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7942With loss 0.1267430099331721
epoch: 7943
Epoch 7943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7943With loss 0.1267430099331721
epoch: 7944
Epoch 7944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7944With loss 0.1267430099331721
epoch: 7945
Epoch 7945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7945With loss 0.1267430099331721
epoch: 7946
Epoch 7946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7946With loss 0.1267430099331721
epoch: 7947
Epoch 7947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7947With loss 0.1267430099331721
epoch: 7948
Epoch 7948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7948With loss 0.1267430099331721
epoch: 7949
Epoch 7949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7949With loss 0.1267430099331721
epoch: 7950
Epoch 7950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7950With loss 0.1267430099331721
epoch: 7951
Epoch 7951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7951With loss 0.1267430099331721
epoch: 7952
Epoch 7952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7952With loss 0.1267430099331721
epoch: 7953
Epoch 7953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7953With loss 0.1267430099331721
epoch: 7954
Epoch 7954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7954With loss 0.1267430099331721
epoch: 7955
Epoch 7955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7955With loss 0.1267430099331721
epoch: 7956
Epoch 7956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7956With loss 0.1267430099331721
epoch: 7957
Epoch 7957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7957With loss 0.1267430099331721
epoch: 7958
Epoch 7958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7958With loss 0.1267430099331721
epoch: 7959
Epoch 7959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7959With loss 0.1267430099331721
epoch: 7960
Epoch 7960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7960With loss 0.1267430099331721
epoch: 7961
Epoch 7961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7961With loss 0.1267430099331721
epoch: 7962
Epoch 7962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7962With loss 0.1267430099331721
epoch: 7963
Epoch 7963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7963With loss 0.1267430099331721
epoch: 7964
Epoch 7964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7964With loss 0.1267430099331721
epoch: 7965
Epoch 7965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7965With loss 0.1267430099331721
epoch: 7966
Epoch 7966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7966With loss 0.1267430099331721
epoch: 7967
Epoch 7967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7967With loss 0.1267430099331721
epoch: 7968
Epoch 7968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7968With loss 0.1267430099331721
epoch: 7969
Epoch 7969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7969With loss 0.1267430099331721
epoch: 7970
Epoch 7970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7970With loss 0.1267430099331721
epoch: 7971
Epoch 7971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7971With loss 0.1267430099331721
epoch: 7972
Epoch 7972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7972With loss 0.1267430099331721
epoch: 7973
Epoch 7973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7973With loss 0.1267430099331721
epoch: 7974
Epoch 7974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7974With loss 0.1267430099331721
epoch: 7975
Epoch 7975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7975With loss 0.1267430099331721
epoch: 7976
Epoch 7976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7976With loss 0.1267430099331721
epoch: 7977
Epoch 7977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7977With loss 0.1267430099331721
epoch: 7978
Epoch 7978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7978With loss 0.1267430099331721
epoch: 7979
Epoch 7979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7979With loss 0.1267430099331721
epoch: 7980
Epoch 7980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7980With loss 0.1267430099331721
epoch: 7981
Epoch 7981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7981With loss 0.1267430099331721
epoch: 7982
Epoch 7982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7982With loss 0.1267430099331721
epoch: 7983
Epoch 7983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7983With loss 0.1267430099331721
epoch: 7984
Epoch 7984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7984With loss 0.1267430099331721
epoch: 7985
Epoch 7985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7985With loss 0.1267430099331721
epoch: 7986
Epoch 7986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7986With loss 0.1267430099331721
epoch: 7987
Epoch 7987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7987With loss 0.1267430099331721
epoch: 7988
Epoch 7988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7988With loss 0.1267430099331721
epoch: 7989
Epoch 7989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7989With loss 0.1267430099331721
epoch: 7990
Epoch 7990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7990With loss 0.1267430099331721
epoch: 7991
Epoch 7991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7991With loss 0.1267430099331721
epoch: 7992
Epoch 7992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7992With loss 0.1267430099331721
epoch: 7993
Epoch 7993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7993With loss 0.1267430099331721
epoch: 7994
Epoch 7994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7994With loss 0.1267430099331721
epoch: 7995
Epoch 7995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7995With loss 0.1267430099331721
epoch: 7996
Epoch 7996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7996With loss 0.1267430099331721
epoch: 7997
Epoch 7997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7997With loss 0.1267430099331721
epoch: 7998
Epoch 7998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7998With loss 0.1267430099331721
epoch: 7999
Epoch 7999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 7999With loss 0.1267430099331721
epoch: 8000
Epoch 8000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8000With loss 0.1267430099331721
epoch: 8001
Epoch 8001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8001With loss 0.1267430099331721
epoch: 8002
Epoch 8002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8002With loss 0.1267430099331721
epoch: 8003
Epoch 8003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8003With loss 0.1267430099331721
epoch: 8004
Epoch 8004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8004With loss 0.1267430099331721
epoch: 8005
Epoch 8005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8005With loss 0.1267430099331721
epoch: 8006
Epoch 8006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8006With loss 0.1267430099331721
epoch: 8007
Epoch 8007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8007With loss 0.1267430099331721
epoch: 8008
Epoch 8008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8008With loss 0.1267430099331721
epoch: 8009
Epoch 8009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8009With loss 0.1267430099331721
epoch: 8010
Epoch 8010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8010With loss 0.1267430099331721
epoch: 8011
Epoch 8011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8011With loss 0.1267430099331721
epoch: 8012
Epoch 8012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8012With loss 0.1267430099331721
epoch: 8013
Epoch 8013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8013With loss 0.1267430099331721
epoch: 8014
Epoch 8014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8014With loss 0.1267430099331721
epoch: 8015
Epoch 8015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8015With loss 0.1267430099331721
epoch: 8016
Epoch 8016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8016With loss 0.1267430099331721
epoch: 8017
Epoch 8017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8017With loss 0.1267430099331721
epoch: 8018
Epoch 8018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8018With loss 0.1267430099331721
epoch: 8019
Epoch 8019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8019With loss 0.1267430099331721
epoch: 8020
Epoch 8020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8020With loss 0.1267430099331721
epoch: 8021
Epoch 8021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8021With loss 0.1267430099331721
epoch: 8022
Epoch 8022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8022With loss 0.1267430099331721
epoch: 8023
Epoch 8023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8023With loss 0.1267430099331721
epoch: 8024
Epoch 8024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8024With loss 0.1267430099331721
epoch: 8025
Epoch 8025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8025With loss 0.1267430099331721
epoch: 8026
Epoch 8026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8026With loss 0.1267430099331721
epoch: 8027
Epoch 8027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8027With loss 0.1267430099331721
epoch: 8028
Epoch 8028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8028With loss 0.1267430099331721
epoch: 8029
Epoch 8029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8029With loss 0.1267430099331721
epoch: 8030
Epoch 8030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8030With loss 0.1267430099331721
epoch: 8031
Epoch 8031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8031With loss 0.1267430099331721
epoch: 8032
Epoch 8032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8032With loss 0.1267430099331721
epoch: 8033
Epoch 8033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8033With loss 0.1267430099331721
epoch: 8034
Epoch 8034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8034With loss 0.1267430099331721
epoch: 8035
Epoch 8035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8035With loss 0.1267430099331721
epoch: 8036
Epoch 8036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8036With loss 0.1267430099331721
epoch: 8037
Epoch 8037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8037With loss 0.1267430099331721
epoch: 8038
Epoch 8038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8038With loss 0.1267430099331721
epoch: 8039
Epoch 8039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8039With loss 0.1267430099331721
epoch: 8040
Epoch 8040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8040With loss 0.1267430099331721
epoch: 8041
Epoch 8041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8041With loss 0.1267430099331721
epoch: 8042
Epoch 8042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8042With loss 0.1267430099331721
epoch: 8043
Epoch 8043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8043With loss 0.1267430099331721
epoch: 8044
Epoch 8044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8044With loss 0.1267430099331721
epoch: 8045
Epoch 8045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8045With loss 0.1267430099331721
epoch: 8046
Epoch 8046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8046With loss 0.1267430099331721
epoch: 8047
Epoch 8047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8047With loss 0.1267430099331721
epoch: 8048
Epoch 8048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8048With loss 0.1267430099331721
epoch: 8049
Epoch 8049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8049With loss 0.1267430099331721
epoch: 8050
Epoch 8050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8050With loss 0.1267430099331721
epoch: 8051
Epoch 8051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8051With loss 0.1267430099331721
epoch: 8052
Epoch 8052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8052With loss 0.1267430099331721
epoch: 8053
Epoch 8053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8053With loss 0.1267430099331721
epoch: 8054
Epoch 8054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8054With loss 0.1267430099331721
epoch: 8055
Epoch 8055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8055With loss 0.1267430099331721
epoch: 8056
Epoch 8056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8056With loss 0.1267430099331721
epoch: 8057
Epoch 8057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8057With loss 0.1267430099331721
epoch: 8058
Epoch 8058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8058With loss 0.1267430099331721
epoch: 8059
Epoch 8059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8059With loss 0.1267430099331721
epoch: 8060
Epoch 8060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8060With loss 0.1267430099331721
epoch: 8061
Epoch 8061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8061With loss 0.1267430099331721
epoch: 8062
Epoch 8062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8062With loss 0.1267430099331721
epoch: 8063
Epoch 8063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8063With loss 0.1267430099331721
epoch: 8064
Epoch 8064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8064With loss 0.1267430099331721
epoch: 8065
Epoch 8065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8065With loss 0.1267430099331721
epoch: 8066
Epoch 8066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8066With loss 0.1267430099331721
epoch: 8067
Epoch 8067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8067With loss 0.1267430099331721
epoch: 8068
Epoch 8068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8068With loss 0.1267430099331721
epoch: 8069
Epoch 8069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8069With loss 0.1267430099331721
epoch: 8070
Epoch 8070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8070With loss 0.1267430099331721
epoch: 8071
Epoch 8071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8071With loss 0.1267430099331721
epoch: 8072
Epoch 8072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8072With loss 0.1267430099331721
epoch: 8073
Epoch 8073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8073With loss 0.1267430099331721
epoch: 8074
Epoch 8074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8074With loss 0.1267430099331721
epoch: 8075
Epoch 8075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8075With loss 0.1267430099331721
epoch: 8076
Epoch 8076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8076With loss 0.1267430099331721
epoch: 8077
Epoch 8077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8077With loss 0.1267430099331721
epoch: 8078
Epoch 8078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8078With loss 0.1267430099331721
epoch: 8079
Epoch 8079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8079With loss 0.1267430099331721
epoch: 8080
Epoch 8080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8080With loss 0.1267430099331721
epoch: 8081
Epoch 8081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8081With loss 0.1267430099331721
epoch: 8082
Epoch 8082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8082With loss 0.1267430099331721
epoch: 8083
Epoch 8083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8083With loss 0.1267430099331721
epoch: 8084
Epoch 8084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8084With loss 0.1267430099331721
epoch: 8085
Epoch 8085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8085With loss 0.1267430099331721
epoch: 8086
Epoch 8086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8086With loss 0.1267430099331721
epoch: 8087
Epoch 8087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8087With loss 0.1267430099331721
epoch: 8088
Epoch 8088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8088With loss 0.1267430099331721
epoch: 8089
Epoch 8089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8089With loss 0.1267430099331721
epoch: 8090
Epoch 8090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8090With loss 0.1267430099331721
epoch: 8091
Epoch 8091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8091With loss 0.1267430099331721
epoch: 8092
Epoch 8092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8092With loss 0.1267430099331721
epoch: 8093
Epoch 8093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8093With loss 0.1267430099331721
epoch: 8094
Epoch 8094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8094With loss 0.1267430099331721
epoch: 8095
Epoch 8095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8095With loss 0.1267430099331721
epoch: 8096
Epoch 8096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8096With loss 0.1267430099331721
epoch: 8097
Epoch 8097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8097With loss 0.1267430099331721
epoch: 8098
Epoch 8098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8098With loss 0.1267430099331721
epoch: 8099
Epoch 8099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8099With loss 0.1267430099331721
epoch: 8100
Epoch 8100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8100With loss 0.1267430099331721
epoch: 8101
Epoch 8101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8101With loss 0.1267430099331721
epoch: 8102
Epoch 8102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8102With loss 0.1267430099331721
epoch: 8103
Epoch 8103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8103With loss 0.1267430099331721
epoch: 8104
Epoch 8104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8104With loss 0.1267430099331721
epoch: 8105
Epoch 8105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8105With loss 0.1267430099331721
epoch: 8106
Epoch 8106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8106With loss 0.1267430099331721
epoch: 8107
Epoch 8107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8107With loss 0.1267430099331721
epoch: 8108
Epoch 8108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8108With loss 0.1267430099331721
epoch: 8109
Epoch 8109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8109With loss 0.1267430099331721
epoch: 8110
Epoch 8110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8110With loss 0.1267430099331721
epoch: 8111
Epoch 8111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8111With loss 0.1267430099331721
epoch: 8112
Epoch 8112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8112With loss 0.1267430099331721
epoch: 8113
Epoch 8113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8113With loss 0.1267430099331721
epoch: 8114
Epoch 8114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8114With loss 0.1267430099331721
epoch: 8115
Epoch 8115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8115With loss 0.1267430099331721
epoch: 8116
Epoch 8116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8116With loss 0.1267430099331721
epoch: 8117
Epoch 8117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8117With loss 0.1267430099331721
epoch: 8118
Epoch 8118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8118With loss 0.1267430099331721
epoch: 8119
Epoch 8119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8119With loss 0.1267430099331721
epoch: 8120
Epoch 8120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8120With loss 0.1267430099331721
epoch: 8121
Epoch 8121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8121With loss 0.1267430099331721
epoch: 8122
Epoch 8122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8122With loss 0.1267430099331721
epoch: 8123
Epoch 8123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8123With loss 0.1267430099331721
epoch: 8124
Epoch 8124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8124With loss 0.1267430099331721
epoch: 8125
Epoch 8125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8125With loss 0.1267430099331721
epoch: 8126
Epoch 8126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8126With loss 0.1267430099331721
epoch: 8127
Epoch 8127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8127With loss 0.1267430099331721
epoch: 8128
Epoch 8128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8128With loss 0.1267430099331721
epoch: 8129
Epoch 8129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8129With loss 0.1267430099331721
epoch: 8130
Epoch 8130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8130With loss 0.1267430099331721
epoch: 8131
Epoch 8131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8131With loss 0.1267430099331721
epoch: 8132
Epoch 8132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8132With loss 0.1267430099331721
epoch: 8133
Epoch 8133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8133With loss 0.1267430099331721
epoch: 8134
Epoch 8134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8134With loss 0.1267430099331721
epoch: 8135
Epoch 8135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8135With loss 0.1267430099331721
epoch: 8136
Epoch 8136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8136With loss 0.1267430099331721
epoch: 8137
Epoch 8137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8137With loss 0.1267430099331721
epoch: 8138
Epoch 8138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8138With loss 0.1267430099331721
epoch: 8139
Epoch 8139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8139With loss 0.1267430099331721
epoch: 8140
Epoch 8140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8140With loss 0.1267430099331721
epoch: 8141
Epoch 8141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8141With loss 0.1267430099331721
epoch: 8142
Epoch 8142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8142With loss 0.1267430099331721
epoch: 8143
Epoch 8143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8143With loss 0.1267430099331721
epoch: 8144
Epoch 8144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8144With loss 0.1267430099331721
epoch: 8145
Epoch 8145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8145With loss 0.1267430099331721
epoch: 8146
Epoch 8146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8146With loss 0.1267430099331721
epoch: 8147
Epoch 8147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8147With loss 0.1267430099331721
epoch: 8148
Epoch 8148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8148With loss 0.1267430099331721
epoch: 8149
Epoch 8149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8149With loss 0.1267430099331721
epoch: 8150
Epoch 8150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8150With loss 0.1267430099331721
epoch: 8151
Epoch 8151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8151With loss 0.1267430099331721
epoch: 8152
Epoch 8152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8152With loss 0.1267430099331721
epoch: 8153
Epoch 8153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8153With loss 0.1267430099331721
epoch: 8154
Epoch 8154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8154With loss 0.1267430099331721
epoch: 8155
Epoch 8155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8155With loss 0.1267430099331721
epoch: 8156
Epoch 8156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8156With loss 0.1267430099331721
epoch: 8157
Epoch 8157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8157With loss 0.1267430099331721
epoch: 8158
Epoch 8158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8158With loss 0.1267430099331721
epoch: 8159
Epoch 8159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8159With loss 0.1267430099331721
epoch: 8160
Epoch 8160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8160With loss 0.1267430099331721
epoch: 8161
Epoch 8161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8161With loss 0.1267430099331721
epoch: 8162
Epoch 8162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8162With loss 0.1267430099331721
epoch: 8163
Epoch 8163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8163With loss 0.1267430099331721
epoch: 8164
Epoch 8164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8164With loss 0.1267430099331721
epoch: 8165
Epoch 8165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8165With loss 0.1267430099331721
epoch: 8166
Epoch 8166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8166With loss 0.1267430099331721
epoch: 8167
Epoch 8167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8167With loss 0.1267430099331721
epoch: 8168
Epoch 8168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8168With loss 0.1267430099331721
epoch: 8169
Epoch 8169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8169With loss 0.1267430099331721
epoch: 8170
Epoch 8170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8170With loss 0.1267430099331721
epoch: 8171
Epoch 8171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8171With loss 0.1267430099331721
epoch: 8172
Epoch 8172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8172With loss 0.1267430099331721
epoch: 8173
Epoch 8173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8173With loss 0.1267430099331721
epoch: 8174
Epoch 8174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8174With loss 0.1267430099331721
epoch: 8175
Epoch 8175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8175With loss 0.1267430099331721
epoch: 8176
Epoch 8176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8176With loss 0.1267430099331721
epoch: 8177
Epoch 8177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8177With loss 0.1267430099331721
epoch: 8178
Epoch 8178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8178With loss 0.1267430099331721
epoch: 8179
Epoch 8179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8179With loss 0.1267430099331721
epoch: 8180
Epoch 8180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8180With loss 0.1267430099331721
epoch: 8181
Epoch 8181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8181With loss 0.1267430099331721
epoch: 8182
Epoch 8182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8182With loss 0.1267430099331721
epoch: 8183
Epoch 8183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8183With loss 0.1267430099331721
epoch: 8184
Epoch 8184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8184With loss 0.1267430099331721
epoch: 8185
Epoch 8185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8185With loss 0.1267430099331721
epoch: 8186
Epoch 8186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8186With loss 0.1267430099331721
epoch: 8187
Epoch 8187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8187With loss 0.1267430099331721
epoch: 8188
Epoch 8188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8188With loss 0.1267430099331721
epoch: 8189
Epoch 8189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8189With loss 0.1267430099331721
epoch: 8190
Epoch 8190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8190With loss 0.1267430099331721
epoch: 8191
Epoch 8191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8191With loss 0.1267430099331721
epoch: 8192
Epoch 8192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8192With loss 0.1267430099331721
epoch: 8193
Epoch 8193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8193With loss 0.1267430099331721
epoch: 8194
Epoch 8194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8194With loss 0.1267430099331721
epoch: 8195
Epoch 8195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8195With loss 0.1267430099331721
epoch: 8196
Epoch 8196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8196With loss 0.1267430099331721
epoch: 8197
Epoch 8197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8197With loss 0.1267430099331721
epoch: 8198
Epoch 8198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8198With loss 0.1267430099331721
epoch: 8199
Epoch 8199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8199With loss 0.1267430099331721
epoch: 8200
Epoch 8200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8200With loss 0.1267430099331721
epoch: 8201
Epoch 8201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8201With loss 0.1267430099331721
epoch: 8202
Epoch 8202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8202With loss 0.1267430099331721
epoch: 8203
Epoch 8203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8203With loss 0.1267430099331721
epoch: 8204
Epoch 8204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8204With loss 0.1267430099331721
epoch: 8205
Epoch 8205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8205With loss 0.1267430099331721
epoch: 8206
Epoch 8206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8206With loss 0.1267430099331721
epoch: 8207
Epoch 8207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8207With loss 0.1267430099331721
epoch: 8208
Epoch 8208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8208With loss 0.1267430099331721
epoch: 8209
Epoch 8209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8209With loss 0.1267430099331721
epoch: 8210
Epoch 8210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8210With loss 0.1267430099331721
epoch: 8211
Epoch 8211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8211With loss 0.1267430099331721
epoch: 8212
Epoch 8212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8212With loss 0.1267430099331721
epoch: 8213
Epoch 8213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8213With loss 0.1267430099331721
epoch: 8214
Epoch 8214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8214With loss 0.1267430099331721
epoch: 8215
Epoch 8215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8215With loss 0.1267430099331721
epoch: 8216
Epoch 8216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8216With loss 0.1267430099331721
epoch: 8217
Epoch 8217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8217With loss 0.1267430099331721
epoch: 8218
Epoch 8218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8218With loss 0.1267430099331721
epoch: 8219
Epoch 8219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8219With loss 0.1267430099331721
epoch: 8220
Epoch 8220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8220With loss 0.1267430099331721
epoch: 8221
Epoch 8221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8221With loss 0.1267430099331721
epoch: 8222
Epoch 8222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8222With loss 0.1267430099331721
epoch: 8223
Epoch 8223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8223With loss 0.1267430099331721
epoch: 8224
Epoch 8224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8224With loss 0.1267430099331721
epoch: 8225
Epoch 8225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8225With loss 0.1267430099331721
epoch: 8226
Epoch 8226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8226With loss 0.1267430099331721
epoch: 8227
Epoch 8227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8227With loss 0.1267430099331721
epoch: 8228
Epoch 8228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8228With loss 0.1267430099331721
epoch: 8229
Epoch 8229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8229With loss 0.1267430099331721
epoch: 8230
Epoch 8230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8230With loss 0.1267430099331721
epoch: 8231
Epoch 8231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8231With loss 0.1267430099331721
epoch: 8232
Epoch 8232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8232With loss 0.1267430099331721
epoch: 8233
Epoch 8233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8233With loss 0.1267430099331721
epoch: 8234
Epoch 8234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8234With loss 0.1267430099331721
epoch: 8235
Epoch 8235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8235With loss 0.1267430099331721
epoch: 8236
Epoch 8236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8236With loss 0.1267430099331721
epoch: 8237
Epoch 8237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8237With loss 0.1267430099331721
epoch: 8238
Epoch 8238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8238With loss 0.1267430099331721
epoch: 8239
Epoch 8239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8239With loss 0.1267430099331721
epoch: 8240
Epoch 8240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8240With loss 0.1267430099331721
epoch: 8241
Epoch 8241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8241With loss 0.1267430099331721
epoch: 8242
Epoch 8242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8242With loss 0.1267430099331721
epoch: 8243
Epoch 8243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8243With loss 0.1267430099331721
epoch: 8244
Epoch 8244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8244With loss 0.1267430099331721
epoch: 8245
Epoch 8245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8245With loss 0.1267430099331721
epoch: 8246
Epoch 8246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8246With loss 0.1267430099331721
epoch: 8247
Epoch 8247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8247With loss 0.1267430099331721
epoch: 8248
Epoch 8248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8248With loss 0.1267430099331721
epoch: 8249
Epoch 8249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8249With loss 0.1267430099331721
epoch: 8250
Epoch 8250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8250With loss 0.1267430099331721
epoch: 8251
Epoch 8251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8251With loss 0.1267430099331721
epoch: 8252
Epoch 8252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8252With loss 0.1267430099331721
epoch: 8253
Epoch 8253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8253With loss 0.1267430099331721
epoch: 8254
Epoch 8254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8254With loss 0.1267430099331721
epoch: 8255
Epoch 8255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8255With loss 0.1267430099331721
epoch: 8256
Epoch 8256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8256With loss 0.1267430099331721
epoch: 8257
Epoch 8257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8257With loss 0.1267430099331721
epoch: 8258
Epoch 8258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8258With loss 0.1267430099331721
epoch: 8259
Epoch 8259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8259With loss 0.1267430099331721
epoch: 8260
Epoch 8260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8260With loss 0.1267430099331721
epoch: 8261
Epoch 8261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8261With loss 0.1267430099331721
epoch: 8262
Epoch 8262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8262With loss 0.1267430099331721
epoch: 8263
Epoch 8263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8263With loss 0.1267430099331721
epoch: 8264
Epoch 8264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8264With loss 0.1267430099331721
epoch: 8265
Epoch 8265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8265With loss 0.1267430099331721
epoch: 8266
Epoch 8266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8266With loss 0.1267430099331721
epoch: 8267
Epoch 8267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8267With loss 0.1267430099331721
epoch: 8268
Epoch 8268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8268With loss 0.1267430099331721
epoch: 8269
Epoch 8269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8269With loss 0.1267430099331721
epoch: 8270
Epoch 8270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8270With loss 0.1267430099331721
epoch: 8271
Epoch 8271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8271With loss 0.1267430099331721
epoch: 8272
Epoch 8272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8272With loss 0.1267430099331721
epoch: 8273
Epoch 8273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8273With loss 0.1267430099331721
epoch: 8274
Epoch 8274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8274With loss 0.1267430099331721
epoch: 8275
Epoch 8275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8275With loss 0.1267430099331721
epoch: 8276
Epoch 8276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8276With loss 0.1267430099331721
epoch: 8277
Epoch 8277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8277With loss 0.1267430099331721
epoch: 8278
Epoch 8278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8278With loss 0.1267430099331721
epoch: 8279
Epoch 8279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8279With loss 0.1267430099331721
epoch: 8280
Epoch 8280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8280With loss 0.1267430099331721
epoch: 8281
Epoch 8281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8281With loss 0.1267430099331721
epoch: 8282
Epoch 8282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8282With loss 0.1267430099331721
epoch: 8283
Epoch 8283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8283With loss 0.1267430099331721
epoch: 8284
Epoch 8284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8284With loss 0.1267430099331721
epoch: 8285
Epoch 8285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8285With loss 0.1267430099331721
epoch: 8286
Epoch 8286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8286With loss 0.1267430099331721
epoch: 8287
Epoch 8287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8287With loss 0.1267430099331721
epoch: 8288
Epoch 8288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8288With loss 0.1267430099331721
epoch: 8289
Epoch 8289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8289With loss 0.1267430099331721
epoch: 8290
Epoch 8290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8290With loss 0.1267430099331721
epoch: 8291
Epoch 8291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8291With loss 0.1267430099331721
epoch: 8292
Epoch 8292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8292With loss 0.1267430099331721
epoch: 8293
Epoch 8293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8293With loss 0.1267430099331721
epoch: 8294
Epoch 8294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8294With loss 0.1267430099331721
epoch: 8295
Epoch 8295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8295With loss 0.1267430099331721
epoch: 8296
Epoch 8296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8296With loss 0.1267430099331721
epoch: 8297
Epoch 8297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8297With loss 0.1267430099331721
epoch: 8298
Epoch 8298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8298With loss 0.1267430099331721
epoch: 8299
Epoch 8299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8299With loss 0.1267430099331721
epoch: 8300
Epoch 8300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8300With loss 0.1267430099331721
epoch: 8301
Epoch 8301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8301With loss 0.1267430099331721
epoch: 8302
Epoch 8302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8302With loss 0.1267430099331721
epoch: 8303
Epoch 8303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8303With loss 0.1267430099331721
epoch: 8304
Epoch 8304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8304With loss 0.1267430099331721
epoch: 8305
Epoch 8305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8305With loss 0.1267430099331721
epoch: 8306
Epoch 8306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8306With loss 0.1267430099331721
epoch: 8307
Epoch 8307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8307With loss 0.1267430099331721
epoch: 8308
Epoch 8308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8308With loss 0.1267430099331721
epoch: 8309
Epoch 8309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8309With loss 0.1267430099331721
epoch: 8310
Epoch 8310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8310With loss 0.1267430099331721
epoch: 8311
Epoch 8311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8311With loss 0.1267430099331721
epoch: 8312
Epoch 8312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8312With loss 0.1267430099331721
epoch: 8313
Epoch 8313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8313With loss 0.1267430099331721
epoch: 8314
Epoch 8314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8314With loss 0.1267430099331721
epoch: 8315
Epoch 8315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8315With loss 0.1267430099331721
epoch: 8316
Epoch 8316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8316With loss 0.1267430099331721
epoch: 8317
Epoch 8317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8317With loss 0.1267430099331721
epoch: 8318
Epoch 8318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8318With loss 0.1267430099331721
epoch: 8319
Epoch 8319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8319With loss 0.1267430099331721
epoch: 8320
Epoch 8320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8320With loss 0.1267430099331721
epoch: 8321
Epoch 8321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8321With loss 0.1267430099331721
epoch: 8322
Epoch 8322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8322With loss 0.1267430099331721
epoch: 8323
Epoch 8323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8323With loss 0.1267430099331721
epoch: 8324
Epoch 8324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8324With loss 0.1267430099331721
epoch: 8325
Epoch 8325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8325With loss 0.1267430099331721
epoch: 8326
Epoch 8326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8326With loss 0.1267430099331721
epoch: 8327
Epoch 8327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8327With loss 0.1267430099331721
epoch: 8328
Epoch 8328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8328With loss 0.1267430099331721
epoch: 8329
Epoch 8329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8329With loss 0.1267430099331721
epoch: 8330
Epoch 8330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8330With loss 0.1267430099331721
epoch: 8331
Epoch 8331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8331With loss 0.1267430099331721
epoch: 8332
Epoch 8332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8332With loss 0.1267430099331721
epoch: 8333
Epoch 8333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8333With loss 0.1267430099331721
epoch: 8334
Epoch 8334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8334With loss 0.1267430099331721
epoch: 8335
Epoch 8335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8335With loss 0.1267430099331721
epoch: 8336
Epoch 8336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8336With loss 0.1267430099331721
epoch: 8337
Epoch 8337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8337With loss 0.1267430099331721
epoch: 8338
Epoch 8338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8338With loss 0.1267430099331721
epoch: 8339
Epoch 8339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8339With loss 0.1267430099331721
epoch: 8340
Epoch 8340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8340With loss 0.1267430099331721
epoch: 8341
Epoch 8341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8341With loss 0.1267430099331721
epoch: 8342
Epoch 8342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8342With loss 0.1267430099331721
epoch: 8343
Epoch 8343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8343With loss 0.1267430099331721
epoch: 8344
Epoch 8344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8344With loss 0.1267430099331721
epoch: 8345
Epoch 8345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8345With loss 0.1267430099331721
epoch: 8346
Epoch 8346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8346With loss 0.1267430099331721
epoch: 8347
Epoch 8347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8347With loss 0.1267430099331721
epoch: 8348
Epoch 8348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8348With loss 0.1267430099331721
epoch: 8349
Epoch 8349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8349With loss 0.1267430099331721
epoch: 8350
Epoch 8350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8350With loss 0.1267430099331721
epoch: 8351
Epoch 8351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8351With loss 0.1267430099331721
epoch: 8352
Epoch 8352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8352With loss 0.1267430099331721
epoch: 8353
Epoch 8353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8353With loss 0.1267430099331721
epoch: 8354
Epoch 8354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8354With loss 0.1267430099331721
epoch: 8355
Epoch 8355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8355With loss 0.1267430099331721
epoch: 8356
Epoch 8356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8356With loss 0.1267430099331721
epoch: 8357
Epoch 8357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8357With loss 0.1267430099331721
epoch: 8358
Epoch 8358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8358With loss 0.1267430099331721
epoch: 8359
Epoch 8359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8359With loss 0.1267430099331721
epoch: 8360
Epoch 8360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8360With loss 0.1267430099331721
epoch: 8361
Epoch 8361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8361With loss 0.1267430099331721
epoch: 8362
Epoch 8362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8362With loss 0.1267430099331721
epoch: 8363
Epoch 8363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8363With loss 0.1267430099331721
epoch: 8364
Epoch 8364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8364With loss 0.1267430099331721
epoch: 8365
Epoch 8365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8365With loss 0.1267430099331721
epoch: 8366
Epoch 8366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8366With loss 0.1267430099331721
epoch: 8367
Epoch 8367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8367With loss 0.1267430099331721
epoch: 8368
Epoch 8368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8368With loss 0.1267430099331721
epoch: 8369
Epoch 8369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8369With loss 0.1267430099331721
epoch: 8370
Epoch 8370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8370With loss 0.1267430099331721
epoch: 8371
Epoch 8371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8371With loss 0.1267430099331721
epoch: 8372
Epoch 8372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8372With loss 0.1267430099331721
epoch: 8373
Epoch 8373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8373With loss 0.1267430099331721
epoch: 8374
Epoch 8374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8374With loss 0.1267430099331721
epoch: 8375
Epoch 8375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8375With loss 0.1267430099331721
epoch: 8376
Epoch 8376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8376With loss 0.1267430099331721
epoch: 8377
Epoch 8377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8377With loss 0.1267430099331721
epoch: 8378
Epoch 8378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8378With loss 0.1267430099331721
epoch: 8379
Epoch 8379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8379With loss 0.1267430099331721
epoch: 8380
Epoch 8380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8380With loss 0.1267430099331721
epoch: 8381
Epoch 8381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8381With loss 0.1267430099331721
epoch: 8382
Epoch 8382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8382With loss 0.1267430099331721
epoch: 8383
Epoch 8383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8383With loss 0.1267430099331721
epoch: 8384
Epoch 8384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8384With loss 0.1267430099331721
epoch: 8385
Epoch 8385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8385With loss 0.1267430099331721
epoch: 8386
Epoch 8386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8386With loss 0.1267430099331721
epoch: 8387
Epoch 8387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8387With loss 0.1267430099331721
epoch: 8388
Epoch 8388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8388With loss 0.1267430099331721
epoch: 8389
Epoch 8389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8389With loss 0.1267430099331721
epoch: 8390
Epoch 8390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8390With loss 0.1267430099331721
epoch: 8391
Epoch 8391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8391With loss 0.1267430099331721
epoch: 8392
Epoch 8392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8392With loss 0.1267430099331721
epoch: 8393
Epoch 8393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8393With loss 0.1267430099331721
epoch: 8394
Epoch 8394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8394With loss 0.1267430099331721
epoch: 8395
Epoch 8395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8395With loss 0.1267430099331721
epoch: 8396
Epoch 8396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8396With loss 0.1267430099331721
epoch: 8397
Epoch 8397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8397With loss 0.1267430099331721
epoch: 8398
Epoch 8398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8398With loss 0.1267430099331721
epoch: 8399
Epoch 8399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8399With loss 0.1267430099331721
epoch: 8400
Epoch 8400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8400With loss 0.1267430099331721
epoch: 8401
Epoch 8401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8401With loss 0.1267430099331721
epoch: 8402
Epoch 8402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8402With loss 0.1267430099331721
epoch: 8403
Epoch 8403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8403With loss 0.1267430099331721
epoch: 8404
Epoch 8404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8404With loss 0.1267430099331721
epoch: 8405
Epoch 8405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8405With loss 0.1267430099331721
epoch: 8406
Epoch 8406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8406With loss 0.1267430099331721
epoch: 8407
Epoch 8407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8407With loss 0.1267430099331721
epoch: 8408
Epoch 8408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8408With loss 0.1267430099331721
epoch: 8409
Epoch 8409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8409With loss 0.1267430099331721
epoch: 8410
Epoch 8410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8410With loss 0.1267430099331721
epoch: 8411
Epoch 8411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8411With loss 0.1267430099331721
epoch: 8412
Epoch 8412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8412With loss 0.1267430099331721
epoch: 8413
Epoch 8413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8413With loss 0.1267430099331721
epoch: 8414
Epoch 8414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8414With loss 0.1267430099331721
epoch: 8415
Epoch 8415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8415With loss 0.1267430099331721
epoch: 8416
Epoch 8416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8416With loss 0.1267430099331721
epoch: 8417
Epoch 8417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8417With loss 0.1267430099331721
epoch: 8418
Epoch 8418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8418With loss 0.1267430099331721
epoch: 8419
Epoch 8419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8419With loss 0.1267430099331721
epoch: 8420
Epoch 8420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8420With loss 0.1267430099331721
epoch: 8421
Epoch 8421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8421With loss 0.1267430099331721
epoch: 8422
Epoch 8422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8422With loss 0.1267430099331721
epoch: 8423
Epoch 8423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8423With loss 0.1267430099331721
epoch: 8424
Epoch 8424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8424With loss 0.1267430099331721
epoch: 8425
Epoch 8425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8425With loss 0.1267430099331721
epoch: 8426
Epoch 8426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8426With loss 0.1267430099331721
epoch: 8427
Epoch 8427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8427With loss 0.1267430099331721
epoch: 8428
Epoch 8428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8428With loss 0.1267430099331721
epoch: 8429
Epoch 8429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8429With loss 0.1267430099331721
epoch: 8430
Epoch 8430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8430With loss 0.1267430099331721
epoch: 8431
Epoch 8431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8431With loss 0.1267430099331721
epoch: 8432
Epoch 8432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8432With loss 0.1267430099331721
epoch: 8433
Epoch 8433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8433With loss 0.1267430099331721
epoch: 8434
Epoch 8434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8434With loss 0.1267430099331721
epoch: 8435
Epoch 8435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8435With loss 0.1267430099331721
epoch: 8436
Epoch 8436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8436With loss 0.1267430099331721
epoch: 8437
Epoch 8437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8437With loss 0.1267430099331721
epoch: 8438
Epoch 8438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8438With loss 0.1267430099331721
epoch: 8439
Epoch 8439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8439With loss 0.1267430099331721
epoch: 8440
Epoch 8440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8440With loss 0.1267430099331721
epoch: 8441
Epoch 8441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8441With loss 0.1267430099331721
epoch: 8442
Epoch 8442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8442With loss 0.1267430099331721
epoch: 8443
Epoch 8443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8443With loss 0.1267430099331721
epoch: 8444
Epoch 8444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8444With loss 0.1267430099331721
epoch: 8445
Epoch 8445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8445With loss 0.1267430099331721
epoch: 8446
Epoch 8446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8446With loss 0.1267430099331721
epoch: 8447
Epoch 8447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8447With loss 0.1267430099331721
epoch: 8448
Epoch 8448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8448With loss 0.1267430099331721
epoch: 8449
Epoch 8449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8449With loss 0.1267430099331721
epoch: 8450
Epoch 8450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8450With loss 0.1267430099331721
epoch: 8451
Epoch 8451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8451With loss 0.1267430099331721
epoch: 8452
Epoch 8452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8452With loss 0.1267430099331721
epoch: 8453
Epoch 8453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8453With loss 0.1267430099331721
epoch: 8454
Epoch 8454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8454With loss 0.1267430099331721
epoch: 8455
Epoch 8455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8455With loss 0.1267430099331721
epoch: 8456
Epoch 8456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8456With loss 0.1267430099331721
epoch: 8457
Epoch 8457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8457With loss 0.1267430099331721
epoch: 8458
Epoch 8458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8458With loss 0.1267430099331721
epoch: 8459
Epoch 8459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8459With loss 0.1267430099331721
epoch: 8460
Epoch 8460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8460With loss 0.1267430099331721
epoch: 8461
Epoch 8461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8461With loss 0.1267430099331721
epoch: 8462
Epoch 8462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8462With loss 0.1267430099331721
epoch: 8463
Epoch 8463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8463With loss 0.1267430099331721
epoch: 8464
Epoch 8464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8464With loss 0.1267430099331721
epoch: 8465
Epoch 8465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8465With loss 0.1267430099331721
epoch: 8466
Epoch 8466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8466With loss 0.1267430099331721
epoch: 8467
Epoch 8467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8467With loss 0.1267430099331721
epoch: 8468
Epoch 8468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8468With loss 0.1267430099331721
epoch: 8469
Epoch 8469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8469With loss 0.1267430099331721
epoch: 8470
Epoch 8470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8470With loss 0.1267430099331721
epoch: 8471
Epoch 8471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8471With loss 0.1267430099331721
epoch: 8472
Epoch 8472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8472With loss 0.1267430099331721
epoch: 8473
Epoch 8473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8473With loss 0.1267430099331721
epoch: 8474
Epoch 8474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8474With loss 0.1267430099331721
epoch: 8475
Epoch 8475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8475With loss 0.1267430099331721
epoch: 8476
Epoch 8476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8476With loss 0.1267430099331721
epoch: 8477
Epoch 8477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8477With loss 0.1267430099331721
epoch: 8478
Epoch 8478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8478With loss 0.1267430099331721
epoch: 8479
Epoch 8479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8479With loss 0.1267430099331721
epoch: 8480
Epoch 8480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8480With loss 0.1267430099331721
epoch: 8481
Epoch 8481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8481With loss 0.1267430099331721
epoch: 8482
Epoch 8482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8482With loss 0.1267430099331721
epoch: 8483
Epoch 8483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8483With loss 0.1267430099331721
epoch: 8484
Epoch 8484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8484With loss 0.1267430099331721
epoch: 8485
Epoch 8485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8485With loss 0.1267430099331721
epoch: 8486
Epoch 8486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8486With loss 0.1267430099331721
epoch: 8487
Epoch 8487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8487With loss 0.1267430099331721
epoch: 8488
Epoch 8488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8488With loss 0.1267430099331721
epoch: 8489
Epoch 8489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8489With loss 0.1267430099331721
epoch: 8490
Epoch 8490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8490With loss 0.1267430099331721
epoch: 8491
Epoch 8491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8491With loss 0.1267430099331721
epoch: 8492
Epoch 8492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8492With loss 0.1267430099331721
epoch: 8493
Epoch 8493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8493With loss 0.1267430099331721
epoch: 8494
Epoch 8494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8494With loss 0.1267430099331721
epoch: 8495
Epoch 8495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8495With loss 0.1267430099331721
epoch: 8496
Epoch 8496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8496With loss 0.1267430099331721
epoch: 8497
Epoch 8497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8497With loss 0.1267430099331721
epoch: 8498
Epoch 8498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8498With loss 0.1267430099331721
epoch: 8499
Epoch 8499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8499With loss 0.1267430099331721
epoch: 8500
Epoch 8500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8500With loss 0.1267430099331721
epoch: 8501
Epoch 8501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8501With loss 0.1267430099331721
epoch: 8502
Epoch 8502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8502With loss 0.1267430099331721
epoch: 8503
Epoch 8503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8503With loss 0.1267430099331721
epoch: 8504
Epoch 8504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8504With loss 0.1267430099331721
epoch: 8505
Epoch 8505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8505With loss 0.1267430099331721
epoch: 8506
Epoch 8506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8506With loss 0.1267430099331721
epoch: 8507
Epoch 8507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8507With loss 0.1267430099331721
epoch: 8508
Epoch 8508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8508With loss 0.1267430099331721
epoch: 8509
Epoch 8509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8509With loss 0.1267430099331721
epoch: 8510
Epoch 8510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8510With loss 0.1267430099331721
epoch: 8511
Epoch 8511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8511With loss 0.1267430099331721
epoch: 8512
Epoch 8512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8512With loss 0.1267430099331721
epoch: 8513
Epoch 8513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8513With loss 0.1267430099331721
epoch: 8514
Epoch 8514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8514With loss 0.1267430099331721
epoch: 8515
Epoch 8515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8515With loss 0.1267430099331721
epoch: 8516
Epoch 8516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8516With loss 0.1267430099331721
epoch: 8517
Epoch 8517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8517With loss 0.1267430099331721
epoch: 8518
Epoch 8518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8518With loss 0.1267430099331721
epoch: 8519
Epoch 8519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8519With loss 0.1267430099331721
epoch: 8520
Epoch 8520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8520With loss 0.1267430099331721
epoch: 8521
Epoch 8521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8521With loss 0.1267430099331721
epoch: 8522
Epoch 8522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8522With loss 0.1267430099331721
epoch: 8523
Epoch 8523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8523With loss 0.1267430099331721
epoch: 8524
Epoch 8524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8524With loss 0.1267430099331721
epoch: 8525
Epoch 8525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8525With loss 0.1267430099331721
epoch: 8526
Epoch 8526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8526With loss 0.1267430099331721
epoch: 8527
Epoch 8527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8527With loss 0.1267430099331721
epoch: 8528
Epoch 8528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8528With loss 0.1267430099331721
epoch: 8529
Epoch 8529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8529With loss 0.1267430099331721
epoch: 8530
Epoch 8530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8530With loss 0.1267430099331721
epoch: 8531
Epoch 8531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8531With loss 0.1267430099331721
epoch: 8532
Epoch 8532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8532With loss 0.1267430099331721
epoch: 8533
Epoch 8533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8533With loss 0.1267430099331721
epoch: 8534
Epoch 8534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8534With loss 0.1267430099331721
epoch: 8535
Epoch 8535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8535With loss 0.1267430099331721
epoch: 8536
Epoch 8536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8536With loss 0.1267430099331721
epoch: 8537
Epoch 8537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8537With loss 0.1267430099331721
epoch: 8538
Epoch 8538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8538With loss 0.1267430099331721
epoch: 8539
Epoch 8539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8539With loss 0.1267430099331721
epoch: 8540
Epoch 8540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8540With loss 0.1267430099331721
epoch: 8541
Epoch 8541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8541With loss 0.1267430099331721
epoch: 8542
Epoch 8542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8542With loss 0.1267430099331721
epoch: 8543
Epoch 8543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8543With loss 0.1267430099331721
epoch: 8544
Epoch 8544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8544With loss 0.1267430099331721
epoch: 8545
Epoch 8545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8545With loss 0.1267430099331721
epoch: 8546
Epoch 8546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8546With loss 0.1267430099331721
epoch: 8547
Epoch 8547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8547With loss 0.1267430099331721
epoch: 8548
Epoch 8548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8548With loss 0.1267430099331721
epoch: 8549
Epoch 8549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8549With loss 0.1267430099331721
epoch: 8550
Epoch 8550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8550With loss 0.1267430099331721
epoch: 8551
Epoch 8551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8551With loss 0.1267430099331721
epoch: 8552
Epoch 8552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8552With loss 0.1267430099331721
epoch: 8553
Epoch 8553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8553With loss 0.1267430099331721
epoch: 8554
Epoch 8554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8554With loss 0.1267430099331721
epoch: 8555
Epoch 8555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8555With loss 0.1267430099331721
epoch: 8556
Epoch 8556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8556With loss 0.1267430099331721
epoch: 8557
Epoch 8557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8557With loss 0.1267430099331721
epoch: 8558
Epoch 8558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8558With loss 0.1267430099331721
epoch: 8559
Epoch 8559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8559With loss 0.1267430099331721
epoch: 8560
Epoch 8560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8560With loss 0.1267430099331721
epoch: 8561
Epoch 8561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8561With loss 0.1267430099331721
epoch: 8562
Epoch 8562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8562With loss 0.1267430099331721
epoch: 8563
Epoch 8563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8563With loss 0.1267430099331721
epoch: 8564
Epoch 8564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8564With loss 0.1267430099331721
epoch: 8565
Epoch 8565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8565With loss 0.1267430099331721
epoch: 8566
Epoch 8566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8566With loss 0.1267430099331721
epoch: 8567
Epoch 8567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8567With loss 0.1267430099331721
epoch: 8568
Epoch 8568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8568With loss 0.1267430099331721
epoch: 8569
Epoch 8569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8569With loss 0.1267430099331721
epoch: 8570
Epoch 8570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8570With loss 0.1267430099331721
epoch: 8571
Epoch 8571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8571With loss 0.1267430099331721
epoch: 8572
Epoch 8572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8572With loss 0.1267430099331721
epoch: 8573
Epoch 8573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8573With loss 0.1267430099331721
epoch: 8574
Epoch 8574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8574With loss 0.1267430099331721
epoch: 8575
Epoch 8575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8575With loss 0.1267430099331721
epoch: 8576
Epoch 8576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8576With loss 0.1267430099331721
epoch: 8577
Epoch 8577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8577With loss 0.1267430099331721
epoch: 8578
Epoch 8578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8578With loss 0.1267430099331721
epoch: 8579
Epoch 8579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8579With loss 0.1267430099331721
epoch: 8580
Epoch 8580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8580With loss 0.1267430099331721
epoch: 8581
Epoch 8581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8581With loss 0.1267430099331721
epoch: 8582
Epoch 8582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8582With loss 0.1267430099331721
epoch: 8583
Epoch 8583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8583With loss 0.1267430099331721
epoch: 8584
Epoch 8584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8584With loss 0.1267430099331721
epoch: 8585
Epoch 8585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8585With loss 0.1267430099331721
epoch: 8586
Epoch 8586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8586With loss 0.1267430099331721
epoch: 8587
Epoch 8587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8587With loss 0.1267430099331721
epoch: 8588
Epoch 8588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8588With loss 0.1267430099331721
epoch: 8589
Epoch 8589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8589With loss 0.1267430099331721
epoch: 8590
Epoch 8590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8590With loss 0.1267430099331721
epoch: 8591
Epoch 8591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8591With loss 0.1267430099331721
epoch: 8592
Epoch 8592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8592With loss 0.1267430099331721
epoch: 8593
Epoch 8593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8593With loss 0.1267430099331721
epoch: 8594
Epoch 8594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8594With loss 0.1267430099331721
epoch: 8595
Epoch 8595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8595With loss 0.1267430099331721
epoch: 8596
Epoch 8596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8596With loss 0.1267430099331721
epoch: 8597
Epoch 8597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8597With loss 0.1267430099331721
epoch: 8598
Epoch 8598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8598With loss 0.1267430099331721
epoch: 8599
Epoch 8599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8599With loss 0.1267430099331721
epoch: 8600
Epoch 8600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8600With loss 0.1267430099331721
epoch: 8601
Epoch 8601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8601With loss 0.1267430099331721
epoch: 8602
Epoch 8602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8602With loss 0.1267430099331721
epoch: 8603
Epoch 8603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8603With loss 0.1267430099331721
epoch: 8604
Epoch 8604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8604With loss 0.1267430099331721
epoch: 8605
Epoch 8605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8605With loss 0.1267430099331721
epoch: 8606
Epoch 8606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8606With loss 0.1267430099331721
epoch: 8607
Epoch 8607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8607With loss 0.1267430099331721
epoch: 8608
Epoch 8608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8608With loss 0.1267430099331721
epoch: 8609
Epoch 8609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8609With loss 0.1267430099331721
epoch: 8610
Epoch 8610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8610With loss 0.1267430099331721
epoch: 8611
Epoch 8611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8611With loss 0.1267430099331721
epoch: 8612
Epoch 8612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8612With loss 0.1267430099331721
epoch: 8613
Epoch 8613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8613With loss 0.1267430099331721
epoch: 8614
Epoch 8614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8614With loss 0.1267430099331721
epoch: 8615
Epoch 8615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8615With loss 0.1267430099331721
epoch: 8616
Epoch 8616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8616With loss 0.1267430099331721
epoch: 8617
Epoch 8617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8617With loss 0.1267430099331721
epoch: 8618
Epoch 8618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8618With loss 0.1267430099331721
epoch: 8619
Epoch 8619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8619With loss 0.1267430099331721
epoch: 8620
Epoch 8620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8620With loss 0.1267430099331721
epoch: 8621
Epoch 8621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8621With loss 0.1267430099331721
epoch: 8622
Epoch 8622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8622With loss 0.1267430099331721
epoch: 8623
Epoch 8623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8623With loss 0.1267430099331721
epoch: 8624
Epoch 8624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8624With loss 0.1267430099331721
epoch: 8625
Epoch 8625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8625With loss 0.1267430099331721
epoch: 8626
Epoch 8626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8626With loss 0.1267430099331721
epoch: 8627
Epoch 8627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8627With loss 0.1267430099331721
epoch: 8628
Epoch 8628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8628With loss 0.1267430099331721
epoch: 8629
Epoch 8629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8629With loss 0.1267430099331721
epoch: 8630
Epoch 8630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8630With loss 0.1267430099331721
epoch: 8631
Epoch 8631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8631With loss 0.1267430099331721
epoch: 8632
Epoch 8632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8632With loss 0.1267430099331721
epoch: 8633
Epoch 8633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8633With loss 0.1267430099331721
epoch: 8634
Epoch 8634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8634With loss 0.1267430099331721
epoch: 8635
Epoch 8635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8635With loss 0.1267430099331721
epoch: 8636
Epoch 8636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8636With loss 0.1267430099331721
epoch: 8637
Epoch 8637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8637With loss 0.1267430099331721
epoch: 8638
Epoch 8638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8638With loss 0.1267430099331721
epoch: 8639
Epoch 8639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8639With loss 0.1267430099331721
epoch: 8640
Epoch 8640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8640With loss 0.1267430099331721
epoch: 8641
Epoch 8641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8641With loss 0.1267430099331721
epoch: 8642
Epoch 8642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8642With loss 0.1267430099331721
epoch: 8643
Epoch 8643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8643With loss 0.1267430099331721
epoch: 8644
Epoch 8644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8644With loss 0.1267430099331721
epoch: 8645
Epoch 8645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8645With loss 0.1267430099331721
epoch: 8646
Epoch 8646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8646With loss 0.1267430099331721
epoch: 8647
Epoch 8647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8647With loss 0.1267430099331721
epoch: 8648
Epoch 8648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8648With loss 0.1267430099331721
epoch: 8649
Epoch 8649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8649With loss 0.1267430099331721
epoch: 8650
Epoch 8650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8650With loss 0.1267430099331721
epoch: 8651
Epoch 8651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8651With loss 0.1267430099331721
epoch: 8652
Epoch 8652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8652With loss 0.1267430099331721
epoch: 8653
Epoch 8653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8653With loss 0.1267430099331721
epoch: 8654
Epoch 8654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8654With loss 0.1267430099331721
epoch: 8655
Epoch 8655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8655With loss 0.1267430099331721
epoch: 8656
Epoch 8656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8656With loss 0.1267430099331721
epoch: 8657
Epoch 8657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8657With loss 0.1267430099331721
epoch: 8658
Epoch 8658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8658With loss 0.1267430099331721
epoch: 8659
Epoch 8659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8659With loss 0.1267430099331721
epoch: 8660
Epoch 8660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8660With loss 0.1267430099331721
epoch: 8661
Epoch 8661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8661With loss 0.1267430099331721
epoch: 8662
Epoch 8662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8662With loss 0.1267430099331721
epoch: 8663
Epoch 8663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8663With loss 0.1267430099331721
epoch: 8664
Epoch 8664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8664With loss 0.1267430099331721
epoch: 8665
Epoch 8665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8665With loss 0.1267430099331721
epoch: 8666
Epoch 8666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8666With loss 0.1267430099331721
epoch: 8667
Epoch 8667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8667With loss 0.1267430099331721
epoch: 8668
Epoch 8668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8668With loss 0.1267430099331721
epoch: 8669
Epoch 8669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8669With loss 0.1267430099331721
epoch: 8670
Epoch 8670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8670With loss 0.1267430099331721
epoch: 8671
Epoch 8671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8671With loss 0.1267430099331721
epoch: 8672
Epoch 8672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8672With loss 0.1267430099331721
epoch: 8673
Epoch 8673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8673With loss 0.1267430099331721
epoch: 8674
Epoch 8674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8674With loss 0.1267430099331721
epoch: 8675
Epoch 8675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8675With loss 0.1267430099331721
epoch: 8676
Epoch 8676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8676With loss 0.1267430099331721
epoch: 8677
Epoch 8677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8677With loss 0.1267430099331721
epoch: 8678
Epoch 8678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8678With loss 0.1267430099331721
epoch: 8679
Epoch 8679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8679With loss 0.1267430099331721
epoch: 8680
Epoch 8680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8680With loss 0.1267430099331721
epoch: 8681
Epoch 8681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8681With loss 0.1267430099331721
epoch: 8682
Epoch 8682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8682With loss 0.1267430099331721
epoch: 8683
Epoch 8683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8683With loss 0.1267430099331721
epoch: 8684
Epoch 8684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8684With loss 0.1267430099331721
epoch: 8685
Epoch 8685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8685With loss 0.1267430099331721
epoch: 8686
Epoch 8686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8686With loss 0.1267430099331721
epoch: 8687
Epoch 8687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8687With loss 0.1267430099331721
epoch: 8688
Epoch 8688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8688With loss 0.1267430099331721
epoch: 8689
Epoch 8689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8689With loss 0.1267430099331721
epoch: 8690
Epoch 8690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8690With loss 0.1267430099331721
epoch: 8691
Epoch 8691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8691With loss 0.1267430099331721
epoch: 8692
Epoch 8692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8692With loss 0.1267430099331721
epoch: 8693
Epoch 8693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8693With loss 0.1267430099331721
epoch: 8694
Epoch 8694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8694With loss 0.1267430099331721
epoch: 8695
Epoch 8695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8695With loss 0.1267430099331721
epoch: 8696
Epoch 8696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8696With loss 0.1267430099331721
epoch: 8697
Epoch 8697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8697With loss 0.1267430099331721
epoch: 8698
Epoch 8698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8698With loss 0.1267430099331721
epoch: 8699
Epoch 8699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8699With loss 0.1267430099331721
epoch: 8700
Epoch 8700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8700With loss 0.1267430099331721
epoch: 8701
Epoch 8701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8701With loss 0.1267430099331721
epoch: 8702
Epoch 8702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8702With loss 0.1267430099331721
epoch: 8703
Epoch 8703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8703With loss 0.1267430099331721
epoch: 8704
Epoch 8704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8704With loss 0.1267430099331721
epoch: 8705
Epoch 8705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8705With loss 0.1267430099331721
epoch: 8706
Epoch 8706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8706With loss 0.1267430099331721
epoch: 8707
Epoch 8707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8707With loss 0.1267430099331721
epoch: 8708
Epoch 8708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8708With loss 0.1267430099331721
epoch: 8709
Epoch 8709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8709With loss 0.1267430099331721
epoch: 8710
Epoch 8710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8710With loss 0.1267430099331721
epoch: 8711
Epoch 8711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8711With loss 0.1267430099331721
epoch: 8712
Epoch 8712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8712With loss 0.1267430099331721
epoch: 8713
Epoch 8713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8713With loss 0.1267430099331721
epoch: 8714
Epoch 8714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8714With loss 0.1267430099331721
epoch: 8715
Epoch 8715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8715With loss 0.1267430099331721
epoch: 8716
Epoch 8716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8716With loss 0.1267430099331721
epoch: 8717
Epoch 8717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8717With loss 0.1267430099331721
epoch: 8718
Epoch 8718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8718With loss 0.1267430099331721
epoch: 8719
Epoch 8719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8719With loss 0.1267430099331721
epoch: 8720
Epoch 8720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8720With loss 0.1267430099331721
epoch: 8721
Epoch 8721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8721With loss 0.1267430099331721
epoch: 8722
Epoch 8722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8722With loss 0.1267430099331721
epoch: 8723
Epoch 8723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8723With loss 0.1267430099331721
epoch: 8724
Epoch 8724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8724With loss 0.1267430099331721
epoch: 8725
Epoch 8725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8725With loss 0.1267430099331721
epoch: 8726
Epoch 8726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8726With loss 0.1267430099331721
epoch: 8727
Epoch 8727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8727With loss 0.1267430099331721
epoch: 8728
Epoch 8728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8728With loss 0.1267430099331721
epoch: 8729
Epoch 8729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8729With loss 0.1267430099331721
epoch: 8730
Epoch 8730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8730With loss 0.1267430099331721
epoch: 8731
Epoch 8731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8731With loss 0.1267430099331721
epoch: 8732
Epoch 8732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8732With loss 0.1267430099331721
epoch: 8733
Epoch 8733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8733With loss 0.1267430099331721
epoch: 8734
Epoch 8734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8734With loss 0.1267430099331721
epoch: 8735
Epoch 8735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8735With loss 0.1267430099331721
epoch: 8736
Epoch 8736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8736With loss 0.1267430099331721
epoch: 8737
Epoch 8737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8737With loss 0.1267430099331721
epoch: 8738
Epoch 8738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8738With loss 0.1267430099331721
epoch: 8739
Epoch 8739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8739With loss 0.1267430099331721
epoch: 8740
Epoch 8740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8740With loss 0.1267430099331721
epoch: 8741
Epoch 8741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8741With loss 0.1267430099331721
epoch: 8742
Epoch 8742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8742With loss 0.1267430099331721
epoch: 8743
Epoch 8743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8743With loss 0.1267430099331721
epoch: 8744
Epoch 8744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8744With loss 0.1267430099331721
epoch: 8745
Epoch 8745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8745With loss 0.1267430099331721
epoch: 8746
Epoch 8746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8746With loss 0.1267430099331721
epoch: 8747
Epoch 8747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8747With loss 0.1267430099331721
epoch: 8748
Epoch 8748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8748With loss 0.1267430099331721
epoch: 8749
Epoch 8749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8749With loss 0.1267430099331721
epoch: 8750
Epoch 8750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8750With loss 0.1267430099331721
epoch: 8751
Epoch 8751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8751With loss 0.1267430099331721
epoch: 8752
Epoch 8752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8752With loss 0.1267430099331721
epoch: 8753
Epoch 8753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8753With loss 0.1267430099331721
epoch: 8754
Epoch 8754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8754With loss 0.1267430099331721
epoch: 8755
Epoch 8755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8755With loss 0.1267430099331721
epoch: 8756
Epoch 8756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8756With loss 0.1267430099331721
epoch: 8757
Epoch 8757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8757With loss 0.1267430099331721
epoch: 8758
Epoch 8758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8758With loss 0.1267430099331721
epoch: 8759
Epoch 8759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8759With loss 0.1267430099331721
epoch: 8760
Epoch 8760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8760With loss 0.1267430099331721
epoch: 8761
Epoch 8761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8761With loss 0.1267430099331721
epoch: 8762
Epoch 8762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8762With loss 0.1267430099331721
epoch: 8763
Epoch 8763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8763With loss 0.1267430099331721
epoch: 8764
Epoch 8764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8764With loss 0.1267430099331721
epoch: 8765
Epoch 8765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8765With loss 0.1267430099331721
epoch: 8766
Epoch 8766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8766With loss 0.1267430099331721
epoch: 8767
Epoch 8767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8767With loss 0.1267430099331721
epoch: 8768
Epoch 8768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8768With loss 0.1267430099331721
epoch: 8769
Epoch 8769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8769With loss 0.1267430099331721
epoch: 8770
Epoch 8770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8770With loss 0.1267430099331721
epoch: 8771
Epoch 8771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8771With loss 0.1267430099331721
epoch: 8772
Epoch 8772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8772With loss 0.1267430099331721
epoch: 8773
Epoch 8773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8773With loss 0.1267430099331721
epoch: 8774
Epoch 8774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8774With loss 0.1267430099331721
epoch: 8775
Epoch 8775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8775With loss 0.1267430099331721
epoch: 8776
Epoch 8776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8776With loss 0.1267430099331721
epoch: 8777
Epoch 8777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8777With loss 0.1267430099331721
epoch: 8778
Epoch 8778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8778With loss 0.1267430099331721
epoch: 8779
Epoch 8779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8779With loss 0.1267430099331721
epoch: 8780
Epoch 8780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8780With loss 0.1267430099331721
epoch: 8781
Epoch 8781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8781With loss 0.1267430099331721
epoch: 8782
Epoch 8782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8782With loss 0.1267430099331721
epoch: 8783
Epoch 8783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8783With loss 0.1267430099331721
epoch: 8784
Epoch 8784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8784With loss 0.1267430099331721
epoch: 8785
Epoch 8785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8785With loss 0.1267430099331721
epoch: 8786
Epoch 8786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8786With loss 0.1267430099331721
epoch: 8787
Epoch 8787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8787With loss 0.1267430099331721
epoch: 8788
Epoch 8788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8788With loss 0.1267430099331721
epoch: 8789
Epoch 8789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8789With loss 0.1267430099331721
epoch: 8790
Epoch 8790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8790With loss 0.1267430099331721
epoch: 8791
Epoch 8791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8791With loss 0.1267430099331721
epoch: 8792
Epoch 8792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8792With loss 0.1267430099331721
epoch: 8793
Epoch 8793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8793With loss 0.1267430099331721
epoch: 8794
Epoch 8794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8794With loss 0.1267430099331721
epoch: 8795
Epoch 8795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8795With loss 0.1267430099331721
epoch: 8796
Epoch 8796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8796With loss 0.1267430099331721
epoch: 8797
Epoch 8797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8797With loss 0.1267430099331721
epoch: 8798
Epoch 8798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8798With loss 0.1267430099331721
epoch: 8799
Epoch 8799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8799With loss 0.1267430099331721
epoch: 8800
Epoch 8800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8800With loss 0.1267430099331721
epoch: 8801
Epoch 8801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8801With loss 0.1267430099331721
epoch: 8802
Epoch 8802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8802With loss 0.1267430099331721
epoch: 8803
Epoch 8803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8803With loss 0.1267430099331721
epoch: 8804
Epoch 8804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8804With loss 0.1267430099331721
epoch: 8805
Epoch 8805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8805With loss 0.1267430099331721
epoch: 8806
Epoch 8806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8806With loss 0.1267430099331721
epoch: 8807
Epoch 8807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8807With loss 0.1267430099331721
epoch: 8808
Epoch 8808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8808With loss 0.1267430099331721
epoch: 8809
Epoch 8809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8809With loss 0.1267430099331721
epoch: 8810
Epoch 8810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8810With loss 0.1267430099331721
epoch: 8811
Epoch 8811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8811With loss 0.1267430099331721
epoch: 8812
Epoch 8812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8812With loss 0.1267430099331721
epoch: 8813
Epoch 8813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8813With loss 0.1267430099331721
epoch: 8814
Epoch 8814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8814With loss 0.1267430099331721
epoch: 8815
Epoch 8815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8815With loss 0.1267430099331721
epoch: 8816
Epoch 8816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8816With loss 0.1267430099331721
epoch: 8817
Epoch 8817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8817With loss 0.1267430099331721
epoch: 8818
Epoch 8818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8818With loss 0.1267430099331721
epoch: 8819
Epoch 8819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8819With loss 0.1267430099331721
epoch: 8820
Epoch 8820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8820With loss 0.1267430099331721
epoch: 8821
Epoch 8821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8821With loss 0.1267430099331721
epoch: 8822
Epoch 8822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8822With loss 0.1267430099331721
epoch: 8823
Epoch 8823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8823With loss 0.1267430099331721
epoch: 8824
Epoch 8824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8824With loss 0.1267430099331721
epoch: 8825
Epoch 8825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8825With loss 0.1267430099331721
epoch: 8826
Epoch 8826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8826With loss 0.1267430099331721
epoch: 8827
Epoch 8827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8827With loss 0.1267430099331721
epoch: 8828
Epoch 8828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8828With loss 0.1267430099331721
epoch: 8829
Epoch 8829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8829With loss 0.1267430099331721
epoch: 8830
Epoch 8830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8830With loss 0.1267430099331721
epoch: 8831
Epoch 8831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8831With loss 0.1267430099331721
epoch: 8832
Epoch 8832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8832With loss 0.1267430099331721
epoch: 8833
Epoch 8833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8833With loss 0.1267430099331721
epoch: 8834
Epoch 8834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8834With loss 0.1267430099331721
epoch: 8835
Epoch 8835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8835With loss 0.1267430099331721
epoch: 8836
Epoch 8836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8836With loss 0.1267430099331721
epoch: 8837
Epoch 8837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8837With loss 0.1267430099331721
epoch: 8838
Epoch 8838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8838With loss 0.1267430099331721
epoch: 8839
Epoch 8839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8839With loss 0.1267430099331721
epoch: 8840
Epoch 8840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8840With loss 0.1267430099331721
epoch: 8841
Epoch 8841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8841With loss 0.1267430099331721
epoch: 8842
Epoch 8842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8842With loss 0.1267430099331721
epoch: 8843
Epoch 8843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8843With loss 0.1267430099331721
epoch: 8844
Epoch 8844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8844With loss 0.1267430099331721
epoch: 8845
Epoch 8845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8845With loss 0.1267430099331721
epoch: 8846
Epoch 8846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8846With loss 0.1267430099331721
epoch: 8847
Epoch 8847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8847With loss 0.1267430099331721
epoch: 8848
Epoch 8848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8848With loss 0.1267430099331721
epoch: 8849
Epoch 8849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8849With loss 0.1267430099331721
epoch: 8850
Epoch 8850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8850With loss 0.1267430099331721
epoch: 8851
Epoch 8851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8851With loss 0.1267430099331721
epoch: 8852
Epoch 8852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8852With loss 0.1267430099331721
epoch: 8853
Epoch 8853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8853With loss 0.1267430099331721
epoch: 8854
Epoch 8854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8854With loss 0.1267430099331721
epoch: 8855
Epoch 8855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8855With loss 0.1267430099331721
epoch: 8856
Epoch 8856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8856With loss 0.1267430099331721
epoch: 8857
Epoch 8857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8857With loss 0.1267430099331721
epoch: 8858
Epoch 8858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8858With loss 0.1267430099331721
epoch: 8859
Epoch 8859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8859With loss 0.1267430099331721
epoch: 8860
Epoch 8860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8860With loss 0.1267430099331721
epoch: 8861
Epoch 8861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8861With loss 0.1267430099331721
epoch: 8862
Epoch 8862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8862With loss 0.1267430099331721
epoch: 8863
Epoch 8863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8863With loss 0.1267430099331721
epoch: 8864
Epoch 8864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8864With loss 0.1267430099331721
epoch: 8865
Epoch 8865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8865With loss 0.1267430099331721
epoch: 8866
Epoch 8866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8866With loss 0.1267430099331721
epoch: 8867
Epoch 8867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8867With loss 0.1267430099331721
epoch: 8868
Epoch 8868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8868With loss 0.1267430099331721
epoch: 8869
Epoch 8869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8869With loss 0.1267430099331721
epoch: 8870
Epoch 8870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8870With loss 0.1267430099331721
epoch: 8871
Epoch 8871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8871With loss 0.1267430099331721
epoch: 8872
Epoch 8872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8872With loss 0.1267430099331721
epoch: 8873
Epoch 8873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8873With loss 0.1267430099331721
epoch: 8874
Epoch 8874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8874With loss 0.1267430099331721
epoch: 8875
Epoch 8875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8875With loss 0.1267430099331721
epoch: 8876
Epoch 8876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8876With loss 0.1267430099331721
epoch: 8877
Epoch 8877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8877With loss 0.1267430099331721
epoch: 8878
Epoch 8878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8878With loss 0.1267430099331721
epoch: 8879
Epoch 8879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8879With loss 0.1267430099331721
epoch: 8880
Epoch 8880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8880With loss 0.1267430099331721
epoch: 8881
Epoch 8881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8881With loss 0.1267430099331721
epoch: 8882
Epoch 8882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8882With loss 0.1267430099331721
epoch: 8883
Epoch 8883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8883With loss 0.1267430099331721
epoch: 8884
Epoch 8884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8884With loss 0.1267430099331721
epoch: 8885
Epoch 8885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8885With loss 0.1267430099331721
epoch: 8886
Epoch 8886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8886With loss 0.1267430099331721
epoch: 8887
Epoch 8887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8887With loss 0.1267430099331721
epoch: 8888
Epoch 8888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8888With loss 0.1267430099331721
epoch: 8889
Epoch 8889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8889With loss 0.1267430099331721
epoch: 8890
Epoch 8890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8890With loss 0.1267430099331721
epoch: 8891
Epoch 8891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8891With loss 0.1267430099331721
epoch: 8892
Epoch 8892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8892With loss 0.1267430099331721
epoch: 8893
Epoch 8893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8893With loss 0.1267430099331721
epoch: 8894
Epoch 8894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8894With loss 0.1267430099331721
epoch: 8895
Epoch 8895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8895With loss 0.1267430099331721
epoch: 8896
Epoch 8896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8896With loss 0.1267430099331721
epoch: 8897
Epoch 8897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8897With loss 0.1267430099331721
epoch: 8898
Epoch 8898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8898With loss 0.1267430099331721
epoch: 8899
Epoch 8899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8899With loss 0.1267430099331721
epoch: 8900
Epoch 8900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8900With loss 0.1267430099331721
epoch: 8901
Epoch 8901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8901With loss 0.1267430099331721
epoch: 8902
Epoch 8902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8902With loss 0.1267430099331721
epoch: 8903
Epoch 8903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8903With loss 0.1267430099331721
epoch: 8904
Epoch 8904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8904With loss 0.1267430099331721
epoch: 8905
Epoch 8905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8905With loss 0.1267430099331721
epoch: 8906
Epoch 8906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8906With loss 0.1267430099331721
epoch: 8907
Epoch 8907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8907With loss 0.1267430099331721
epoch: 8908
Epoch 8908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8908With loss 0.1267430099331721
epoch: 8909
Epoch 8909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8909With loss 0.1267430099331721
epoch: 8910
Epoch 8910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8910With loss 0.1267430099331721
epoch: 8911
Epoch 8911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8911With loss 0.1267430099331721
epoch: 8912
Epoch 8912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8912With loss 0.1267430099331721
epoch: 8913
Epoch 8913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8913With loss 0.1267430099331721
epoch: 8914
Epoch 8914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8914With loss 0.1267430099331721
epoch: 8915
Epoch 8915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8915With loss 0.1267430099331721
epoch: 8916
Epoch 8916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8916With loss 0.1267430099331721
epoch: 8917
Epoch 8917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8917With loss 0.1267430099331721
epoch: 8918
Epoch 8918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8918With loss 0.1267430099331721
epoch: 8919
Epoch 8919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8919With loss 0.1267430099331721
epoch: 8920
Epoch 8920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8920With loss 0.1267430099331721
epoch: 8921
Epoch 8921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8921With loss 0.1267430099331721
epoch: 8922
Epoch 8922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8922With loss 0.1267430099331721
epoch: 8923
Epoch 8923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8923With loss 0.1267430099331721
epoch: 8924
Epoch 8924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8924With loss 0.1267430099331721
epoch: 8925
Epoch 8925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8925With loss 0.1267430099331721
epoch: 8926
Epoch 8926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8926With loss 0.1267430099331721
epoch: 8927
Epoch 8927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8927With loss 0.1267430099331721
epoch: 8928
Epoch 8928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8928With loss 0.1267430099331721
epoch: 8929
Epoch 8929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8929With loss 0.1267430099331721
epoch: 8930
Epoch 8930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8930With loss 0.1267430099331721
epoch: 8931
Epoch 8931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8931With loss 0.1267430099331721
epoch: 8932
Epoch 8932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8932With loss 0.1267430099331721
epoch: 8933
Epoch 8933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8933With loss 0.1267430099331721
epoch: 8934
Epoch 8934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8934With loss 0.1267430099331721
epoch: 8935
Epoch 8935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8935With loss 0.1267430099331721
epoch: 8936
Epoch 8936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8936With loss 0.1267430099331721
epoch: 8937
Epoch 8937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8937With loss 0.1267430099331721
epoch: 8938
Epoch 8938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8938With loss 0.1267430099331721
epoch: 8939
Epoch 8939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8939With loss 0.1267430099331721
epoch: 8940
Epoch 8940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8940With loss 0.1267430099331721
epoch: 8941
Epoch 8941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8941With loss 0.1267430099331721
epoch: 8942
Epoch 8942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8942With loss 0.1267430099331721
epoch: 8943
Epoch 8943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8943With loss 0.1267430099331721
epoch: 8944
Epoch 8944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8944With loss 0.1267430099331721
epoch: 8945
Epoch 8945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8945With loss 0.1267430099331721
epoch: 8946
Epoch 8946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8946With loss 0.1267430099331721
epoch: 8947
Epoch 8947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8947With loss 0.1267430099331721
epoch: 8948
Epoch 8948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8948With loss 0.1267430099331721
epoch: 8949
Epoch 8949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8949With loss 0.1267430099331721
epoch: 8950
Epoch 8950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8950With loss 0.1267430099331721
epoch: 8951
Epoch 8951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8951With loss 0.1267430099331721
epoch: 8952
Epoch 8952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8952With loss 0.1267430099331721
epoch: 8953
Epoch 8953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8953With loss 0.1267430099331721
epoch: 8954
Epoch 8954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8954With loss 0.1267430099331721
epoch: 8955
Epoch 8955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8955With loss 0.1267430099331721
epoch: 8956
Epoch 8956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8956With loss 0.1267430099331721
epoch: 8957
Epoch 8957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8957With loss 0.1267430099331721
epoch: 8958
Epoch 8958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8958With loss 0.1267430099331721
epoch: 8959
Epoch 8959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8959With loss 0.1267430099331721
epoch: 8960
Epoch 8960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8960With loss 0.1267430099331721
epoch: 8961
Epoch 8961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8961With loss 0.1267430099331721
epoch: 8962
Epoch 8962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8962With loss 0.1267430099331721
epoch: 8963
Epoch 8963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8963With loss 0.1267430099331721
epoch: 8964
Epoch 8964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8964With loss 0.1267430099331721
epoch: 8965
Epoch 8965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8965With loss 0.1267430099331721
epoch: 8966
Epoch 8966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8966With loss 0.1267430099331721
epoch: 8967
Epoch 8967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8967With loss 0.1267430099331721
epoch: 8968
Epoch 8968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8968With loss 0.1267430099331721
epoch: 8969
Epoch 8969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8969With loss 0.1267430099331721
epoch: 8970
Epoch 8970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8970With loss 0.1267430099331721
epoch: 8971
Epoch 8971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8971With loss 0.1267430099331721
epoch: 8972
Epoch 8972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8972With loss 0.1267430099331721
epoch: 8973
Epoch 8973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8973With loss 0.1267430099331721
epoch: 8974
Epoch 8974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8974With loss 0.1267430099331721
epoch: 8975
Epoch 8975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8975With loss 0.1267430099331721
epoch: 8976
Epoch 8976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8976With loss 0.1267430099331721
epoch: 8977
Epoch 8977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8977With loss 0.1267430099331721
epoch: 8978
Epoch 8978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8978With loss 0.1267430099331721
epoch: 8979
Epoch 8979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8979With loss 0.1267430099331721
epoch: 8980
Epoch 8980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8980With loss 0.1267430099331721
epoch: 8981
Epoch 8981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8981With loss 0.1267430099331721
epoch: 8982
Epoch 8982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8982With loss 0.1267430099331721
epoch: 8983
Epoch 8983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8983With loss 0.1267430099331721
epoch: 8984
Epoch 8984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8984With loss 0.1267430099331721
epoch: 8985
Epoch 8985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8985With loss 0.1267430099331721
epoch: 8986
Epoch 8986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8986With loss 0.1267430099331721
epoch: 8987
Epoch 8987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8987With loss 0.1267430099331721
epoch: 8988
Epoch 8988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8988With loss 0.1267430099331721
epoch: 8989
Epoch 8989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8989With loss 0.1267430099331721
epoch: 8990
Epoch 8990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8990With loss 0.1267430099331721
epoch: 8991
Epoch 8991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8991With loss 0.1267430099331721
epoch: 8992
Epoch 8992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8992With loss 0.1267430099331721
epoch: 8993
Epoch 8993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8993With loss 0.1267430099331721
epoch: 8994
Epoch 8994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8994With loss 0.1267430099331721
epoch: 8995
Epoch 8995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8995With loss 0.1267430099331721
epoch: 8996
Epoch 8996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8996With loss 0.1267430099331721
epoch: 8997
Epoch 8997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8997With loss 0.1267430099331721
epoch: 8998
Epoch 8998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8998With loss 0.1267430099331721
epoch: 8999
Epoch 8999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 8999With loss 0.1267430099331721
epoch: 9000
Epoch 9000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9000With loss 0.1267430099331721
epoch: 9001
Epoch 9001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9001With loss 0.1267430099331721
epoch: 9002
Epoch 9002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9002With loss 0.1267430099331721
epoch: 9003
Epoch 9003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9003With loss 0.1267430099331721
epoch: 9004
Epoch 9004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9004With loss 0.1267430099331721
epoch: 9005
Epoch 9005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9005With loss 0.1267430099331721
epoch: 9006
Epoch 9006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9006With loss 0.1267430099331721
epoch: 9007
Epoch 9007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9007With loss 0.1267430099331721
epoch: 9008
Epoch 9008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9008With loss 0.1267430099331721
epoch: 9009
Epoch 9009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9009With loss 0.1267430099331721
epoch: 9010
Epoch 9010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9010With loss 0.1267430099331721
epoch: 9011
Epoch 9011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9011With loss 0.1267430099331721
epoch: 9012
Epoch 9012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9012With loss 0.1267430099331721
epoch: 9013
Epoch 9013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9013With loss 0.1267430099331721
epoch: 9014
Epoch 9014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9014With loss 0.1267430099331721
epoch: 9015
Epoch 9015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9015With loss 0.1267430099331721
epoch: 9016
Epoch 9016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9016With loss 0.1267430099331721
epoch: 9017
Epoch 9017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9017With loss 0.1267430099331721
epoch: 9018
Epoch 9018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9018With loss 0.1267430099331721
epoch: 9019
Epoch 9019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9019With loss 0.1267430099331721
epoch: 9020
Epoch 9020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9020With loss 0.1267430099331721
epoch: 9021
Epoch 9021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9021With loss 0.1267430099331721
epoch: 9022
Epoch 9022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9022With loss 0.1267430099331721
epoch: 9023
Epoch 9023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9023With loss 0.1267430099331721
epoch: 9024
Epoch 9024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9024With loss 0.1267430099331721
epoch: 9025
Epoch 9025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9025With loss 0.1267430099331721
epoch: 9026
Epoch 9026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9026With loss 0.1267430099331721
epoch: 9027
Epoch 9027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9027With loss 0.1267430099331721
epoch: 9028
Epoch 9028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9028With loss 0.1267430099331721
epoch: 9029
Epoch 9029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9029With loss 0.1267430099331721
epoch: 9030
Epoch 9030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9030With loss 0.1267430099331721
epoch: 9031
Epoch 9031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9031With loss 0.1267430099331721
epoch: 9032
Epoch 9032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9032With loss 0.1267430099331721
epoch: 9033
Epoch 9033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9033With loss 0.1267430099331721
epoch: 9034
Epoch 9034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9034With loss 0.1267430099331721
epoch: 9035
Epoch 9035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9035With loss 0.1267430099331721
epoch: 9036
Epoch 9036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9036With loss 0.1267430099331721
epoch: 9037
Epoch 9037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9037With loss 0.1267430099331721
epoch: 9038
Epoch 9038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9038With loss 0.1267430099331721
epoch: 9039
Epoch 9039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9039With loss 0.1267430099331721
epoch: 9040
Epoch 9040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9040With loss 0.1267430099331721
epoch: 9041
Epoch 9041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9041With loss 0.1267430099331721
epoch: 9042
Epoch 9042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9042With loss 0.1267430099331721
epoch: 9043
Epoch 9043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9043With loss 0.1267430099331721
epoch: 9044
Epoch 9044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9044With loss 0.1267430099331721
epoch: 9045
Epoch 9045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9045With loss 0.1267430099331721
epoch: 9046
Epoch 9046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9046With loss 0.1267430099331721
epoch: 9047
Epoch 9047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9047With loss 0.1267430099331721
epoch: 9048
Epoch 9048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9048With loss 0.1267430099331721
epoch: 9049
Epoch 9049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9049With loss 0.1267430099331721
epoch: 9050
Epoch 9050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9050With loss 0.1267430099331721
epoch: 9051
Epoch 9051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9051With loss 0.1267430099331721
epoch: 9052
Epoch 9052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9052With loss 0.1267430099331721
epoch: 9053
Epoch 9053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9053With loss 0.1267430099331721
epoch: 9054
Epoch 9054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9054With loss 0.1267430099331721
epoch: 9055
Epoch 9055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9055With loss 0.1267430099331721
epoch: 9056
Epoch 9056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9056With loss 0.1267430099331721
epoch: 9057
Epoch 9057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9057With loss 0.1267430099331721
epoch: 9058
Epoch 9058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9058With loss 0.1267430099331721
epoch: 9059
Epoch 9059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9059With loss 0.1267430099331721
epoch: 9060
Epoch 9060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9060With loss 0.1267430099331721
epoch: 9061
Epoch 9061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9061With loss 0.1267430099331721
epoch: 9062
Epoch 9062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9062With loss 0.1267430099331721
epoch: 9063
Epoch 9063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9063With loss 0.1267430099331721
epoch: 9064
Epoch 9064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9064With loss 0.1267430099331721
epoch: 9065
Epoch 9065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9065With loss 0.1267430099331721
epoch: 9066
Epoch 9066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9066With loss 0.1267430099331721
epoch: 9067
Epoch 9067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9067With loss 0.1267430099331721
epoch: 9068
Epoch 9068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9068With loss 0.1267430099331721
epoch: 9069
Epoch 9069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9069With loss 0.1267430099331721
epoch: 9070
Epoch 9070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9070With loss 0.1267430099331721
epoch: 9071
Epoch 9071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9071With loss 0.1267430099331721
epoch: 9072
Epoch 9072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9072With loss 0.1267430099331721
epoch: 9073
Epoch 9073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9073With loss 0.1267430099331721
epoch: 9074
Epoch 9074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9074With loss 0.1267430099331721
epoch: 9075
Epoch 9075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9075With loss 0.1267430099331721
epoch: 9076
Epoch 9076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9076With loss 0.1267430099331721
epoch: 9077
Epoch 9077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9077With loss 0.1267430099331721
epoch: 9078
Epoch 9078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9078With loss 0.1267430099331721
epoch: 9079
Epoch 9079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9079With loss 0.1267430099331721
epoch: 9080
Epoch 9080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9080With loss 0.1267430099331721
epoch: 9081
Epoch 9081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9081With loss 0.1267430099331721
epoch: 9082
Epoch 9082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9082With loss 0.1267430099331721
epoch: 9083
Epoch 9083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9083With loss 0.1267430099331721
epoch: 9084
Epoch 9084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9084With loss 0.1267430099331721
epoch: 9085
Epoch 9085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9085With loss 0.1267430099331721
epoch: 9086
Epoch 9086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9086With loss 0.1267430099331721
epoch: 9087
Epoch 9087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9087With loss 0.1267430099331721
epoch: 9088
Epoch 9088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9088With loss 0.1267430099331721
epoch: 9089
Epoch 9089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9089With loss 0.1267430099331721
epoch: 9090
Epoch 9090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9090With loss 0.1267430099331721
epoch: 9091
Epoch 9091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9091With loss 0.1267430099331721
epoch: 9092
Epoch 9092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9092With loss 0.1267430099331721
epoch: 9093
Epoch 9093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9093With loss 0.1267430099331721
epoch: 9094
Epoch 9094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9094With loss 0.1267430099331721
epoch: 9095
Epoch 9095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9095With loss 0.1267430099331721
epoch: 9096
Epoch 9096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9096With loss 0.1267430099331721
epoch: 9097
Epoch 9097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9097With loss 0.1267430099331721
epoch: 9098
Epoch 9098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9098With loss 0.1267430099331721
epoch: 9099
Epoch 9099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9099With loss 0.1267430099331721
epoch: 9100
Epoch 9100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9100With loss 0.1267430099331721
epoch: 9101
Epoch 9101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9101With loss 0.1267430099331721
epoch: 9102
Epoch 9102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9102With loss 0.1267430099331721
epoch: 9103
Epoch 9103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9103With loss 0.1267430099331721
epoch: 9104
Epoch 9104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9104With loss 0.1267430099331721
epoch: 9105
Epoch 9105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9105With loss 0.1267430099331721
epoch: 9106
Epoch 9106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9106With loss 0.1267430099331721
epoch: 9107
Epoch 9107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9107With loss 0.1267430099331721
epoch: 9108
Epoch 9108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9108With loss 0.1267430099331721
epoch: 9109
Epoch 9109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9109With loss 0.1267430099331721
epoch: 9110
Epoch 9110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9110With loss 0.1267430099331721
epoch: 9111
Epoch 9111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9111With loss 0.1267430099331721
epoch: 9112
Epoch 9112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9112With loss 0.1267430099331721
epoch: 9113
Epoch 9113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9113With loss 0.1267430099331721
epoch: 9114
Epoch 9114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9114With loss 0.1267430099331721
epoch: 9115
Epoch 9115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9115With loss 0.1267430099331721
epoch: 9116
Epoch 9116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9116With loss 0.1267430099331721
epoch: 9117
Epoch 9117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9117With loss 0.1267430099331721
epoch: 9118
Epoch 9118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9118With loss 0.1267430099331721
epoch: 9119
Epoch 9119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9119With loss 0.1267430099331721
epoch: 9120
Epoch 9120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9120With loss 0.1267430099331721
epoch: 9121
Epoch 9121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9121With loss 0.1267430099331721
epoch: 9122
Epoch 9122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9122With loss 0.1267430099331721
epoch: 9123
Epoch 9123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9123With loss 0.1267430099331721
epoch: 9124
Epoch 9124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9124With loss 0.1267430099331721
epoch: 9125
Epoch 9125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9125With loss 0.1267430099331721
epoch: 9126
Epoch 9126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9126With loss 0.1267430099331721
epoch: 9127
Epoch 9127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9127With loss 0.1267430099331721
epoch: 9128
Epoch 9128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9128With loss 0.1267430099331721
epoch: 9129
Epoch 9129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9129With loss 0.1267430099331721
epoch: 9130
Epoch 9130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9130With loss 0.1267430099331721
epoch: 9131
Epoch 9131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9131With loss 0.1267430099331721
epoch: 9132
Epoch 9132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9132With loss 0.1267430099331721
epoch: 9133
Epoch 9133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9133With loss 0.1267430099331721
epoch: 9134
Epoch 9134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9134With loss 0.1267430099331721
epoch: 9135
Epoch 9135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9135With loss 0.1267430099331721
epoch: 9136
Epoch 9136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9136With loss 0.1267430099331721
epoch: 9137
Epoch 9137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9137With loss 0.1267430099331721
epoch: 9138
Epoch 9138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9138With loss 0.1267430099331721
epoch: 9139
Epoch 9139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9139With loss 0.1267430099331721
epoch: 9140
Epoch 9140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9140With loss 0.1267430099331721
epoch: 9141
Epoch 9141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9141With loss 0.1267430099331721
epoch: 9142
Epoch 9142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9142With loss 0.1267430099331721
epoch: 9143
Epoch 9143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9143With loss 0.1267430099331721
epoch: 9144
Epoch 9144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9144With loss 0.1267430099331721
epoch: 9145
Epoch 9145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9145With loss 0.1267430099331721
epoch: 9146
Epoch 9146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9146With loss 0.1267430099331721
epoch: 9147
Epoch 9147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9147With loss 0.1267430099331721
epoch: 9148
Epoch 9148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9148With loss 0.1267430099331721
epoch: 9149
Epoch 9149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9149With loss 0.1267430099331721
epoch: 9150
Epoch 9150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9150With loss 0.1267430099331721
epoch: 9151
Epoch 9151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9151With loss 0.1267430099331721
epoch: 9152
Epoch 9152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9152With loss 0.1267430099331721
epoch: 9153
Epoch 9153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9153With loss 0.1267430099331721
epoch: 9154
Epoch 9154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9154With loss 0.1267430099331721
epoch: 9155
Epoch 9155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9155With loss 0.1267430099331721
epoch: 9156
Epoch 9156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9156With loss 0.1267430099331721
epoch: 9157
Epoch 9157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9157With loss 0.1267430099331721
epoch: 9158
Epoch 9158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9158With loss 0.1267430099331721
epoch: 9159
Epoch 9159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9159With loss 0.1267430099331721
epoch: 9160
Epoch 9160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9160With loss 0.1267430099331721
epoch: 9161
Epoch 9161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9161With loss 0.1267430099331721
epoch: 9162
Epoch 9162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9162With loss 0.1267430099331721
epoch: 9163
Epoch 9163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9163With loss 0.1267430099331721
epoch: 9164
Epoch 9164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9164With loss 0.1267430099331721
epoch: 9165
Epoch 9165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9165With loss 0.1267430099331721
epoch: 9166
Epoch 9166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9166With loss 0.1267430099331721
epoch: 9167
Epoch 9167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9167With loss 0.1267430099331721
epoch: 9168
Epoch 9168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9168With loss 0.1267430099331721
epoch: 9169
Epoch 9169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9169With loss 0.1267430099331721
epoch: 9170
Epoch 9170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9170With loss 0.1267430099331721
epoch: 9171
Epoch 9171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9171With loss 0.1267430099331721
epoch: 9172
Epoch 9172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9172With loss 0.1267430099331721
epoch: 9173
Epoch 9173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9173With loss 0.1267430099331721
epoch: 9174
Epoch 9174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9174With loss 0.1267430099331721
epoch: 9175
Epoch 9175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9175With loss 0.1267430099331721
epoch: 9176
Epoch 9176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9176With loss 0.1267430099331721
epoch: 9177
Epoch 9177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9177With loss 0.1267430099331721
epoch: 9178
Epoch 9178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9178With loss 0.1267430099331721
epoch: 9179
Epoch 9179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9179With loss 0.1267430099331721
epoch: 9180
Epoch 9180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9180With loss 0.1267430099331721
epoch: 9181
Epoch 9181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9181With loss 0.1267430099331721
epoch: 9182
Epoch 9182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9182With loss 0.1267430099331721
epoch: 9183
Epoch 9183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9183With loss 0.1267430099331721
epoch: 9184
Epoch 9184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9184With loss 0.1267430099331721
epoch: 9185
Epoch 9185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9185With loss 0.1267430099331721
epoch: 9186
Epoch 9186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9186With loss 0.1267430099331721
epoch: 9187
Epoch 9187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9187With loss 0.1267430099331721
epoch: 9188
Epoch 9188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9188With loss 0.1267430099331721
epoch: 9189
Epoch 9189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9189With loss 0.1267430099331721
epoch: 9190
Epoch 9190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9190With loss 0.1267430099331721
epoch: 9191
Epoch 9191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9191With loss 0.1267430099331721
epoch: 9192
Epoch 9192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9192With loss 0.1267430099331721
epoch: 9193
Epoch 9193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9193With loss 0.1267430099331721
epoch: 9194
Epoch 9194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9194With loss 0.1267430099331721
epoch: 9195
Epoch 9195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9195With loss 0.1267430099331721
epoch: 9196
Epoch 9196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9196With loss 0.1267430099331721
epoch: 9197
Epoch 9197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9197With loss 0.1267430099331721
epoch: 9198
Epoch 9198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9198With loss 0.1267430099331721
epoch: 9199
Epoch 9199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9199With loss 0.1267430099331721
epoch: 9200
Epoch 9200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9200With loss 0.1267430099331721
epoch: 9201
Epoch 9201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9201With loss 0.1267430099331721
epoch: 9202
Epoch 9202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9202With loss 0.1267430099331721
epoch: 9203
Epoch 9203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9203With loss 0.1267430099331721
epoch: 9204
Epoch 9204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9204With loss 0.1267430099331721
epoch: 9205
Epoch 9205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9205With loss 0.1267430099331721
epoch: 9206
Epoch 9206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9206With loss 0.1267430099331721
epoch: 9207
Epoch 9207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9207With loss 0.1267430099331721
epoch: 9208
Epoch 9208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9208With loss 0.1267430099331721
epoch: 9209
Epoch 9209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9209With loss 0.1267430099331721
epoch: 9210
Epoch 9210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9210With loss 0.1267430099331721
epoch: 9211
Epoch 9211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9211With loss 0.1267430099331721
epoch: 9212
Epoch 9212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9212With loss 0.1267430099331721
epoch: 9213
Epoch 9213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9213With loss 0.1267430099331721
epoch: 9214
Epoch 9214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9214With loss 0.1267430099331721
epoch: 9215
Epoch 9215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9215With loss 0.1267430099331721
epoch: 9216
Epoch 9216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9216With loss 0.1267430099331721
epoch: 9217
Epoch 9217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9217With loss 0.1267430099331721
epoch: 9218
Epoch 9218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9218With loss 0.1267430099331721
epoch: 9219
Epoch 9219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9219With loss 0.1267430099331721
epoch: 9220
Epoch 9220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9220With loss 0.1267430099331721
epoch: 9221
Epoch 9221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9221With loss 0.1267430099331721
epoch: 9222
Epoch 9222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9222With loss 0.1267430099331721
epoch: 9223
Epoch 9223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9223With loss 0.1267430099331721
epoch: 9224
Epoch 9224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9224With loss 0.1267430099331721
epoch: 9225
Epoch 9225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9225With loss 0.1267430099331721
epoch: 9226
Epoch 9226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9226With loss 0.1267430099331721
epoch: 9227
Epoch 9227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9227With loss 0.1267430099331721
epoch: 9228
Epoch 9228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9228With loss 0.1267430099331721
epoch: 9229
Epoch 9229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9229With loss 0.1267430099331721
epoch: 9230
Epoch 9230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9230With loss 0.1267430099331721
epoch: 9231
Epoch 9231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9231With loss 0.1267430099331721
epoch: 9232
Epoch 9232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9232With loss 0.1267430099331721
epoch: 9233
Epoch 9233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9233With loss 0.1267430099331721
epoch: 9234
Epoch 9234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9234With loss 0.1267430099331721
epoch: 9235
Epoch 9235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9235With loss 0.1267430099331721
epoch: 9236
Epoch 9236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9236With loss 0.1267430099331721
epoch: 9237
Epoch 9237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9237With loss 0.1267430099331721
epoch: 9238
Epoch 9238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9238With loss 0.1267430099331721
epoch: 9239
Epoch 9239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9239With loss 0.1267430099331721
epoch: 9240
Epoch 9240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9240With loss 0.1267430099331721
epoch: 9241
Epoch 9241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9241With loss 0.1267430099331721
epoch: 9242
Epoch 9242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9242With loss 0.1267430099331721
epoch: 9243
Epoch 9243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9243With loss 0.1267430099331721
epoch: 9244
Epoch 9244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9244With loss 0.1267430099331721
epoch: 9245
Epoch 9245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9245With loss 0.1267430099331721
epoch: 9246
Epoch 9246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9246With loss 0.1267430099331721
epoch: 9247
Epoch 9247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9247With loss 0.1267430099331721
epoch: 9248
Epoch 9248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9248With loss 0.1267430099331721
epoch: 9249
Epoch 9249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9249With loss 0.1267430099331721
epoch: 9250
Epoch 9250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9250With loss 0.1267430099331721
epoch: 9251
Epoch 9251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9251With loss 0.1267430099331721
epoch: 9252
Epoch 9252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9252With loss 0.1267430099331721
epoch: 9253
Epoch 9253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9253With loss 0.1267430099331721
epoch: 9254
Epoch 9254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9254With loss 0.1267430099331721
epoch: 9255
Epoch 9255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9255With loss 0.1267430099331721
epoch: 9256
Epoch 9256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9256With loss 0.1267430099331721
epoch: 9257
Epoch 9257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9257With loss 0.1267430099331721
epoch: 9258
Epoch 9258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9258With loss 0.1267430099331721
epoch: 9259
Epoch 9259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9259With loss 0.1267430099331721
epoch: 9260
Epoch 9260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9260With loss 0.1267430099331721
epoch: 9261
Epoch 9261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9261With loss 0.1267430099331721
epoch: 9262
Epoch 9262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9262With loss 0.1267430099331721
epoch: 9263
Epoch 9263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9263With loss 0.1267430099331721
epoch: 9264
Epoch 9264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9264With loss 0.1267430099331721
epoch: 9265
Epoch 9265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9265With loss 0.1267430099331721
epoch: 9266
Epoch 9266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9266With loss 0.1267430099331721
epoch: 9267
Epoch 9267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9267With loss 0.1267430099331721
epoch: 9268
Epoch 9268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9268With loss 0.1267430099331721
epoch: 9269
Epoch 9269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9269With loss 0.1267430099331721
epoch: 9270
Epoch 9270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9270With loss 0.1267430099331721
epoch: 9271
Epoch 9271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9271With loss 0.1267430099331721
epoch: 9272
Epoch 9272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9272With loss 0.1267430099331721
epoch: 9273
Epoch 9273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9273With loss 0.1267430099331721
epoch: 9274
Epoch 9274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9274With loss 0.1267430099331721
epoch: 9275
Epoch 9275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9275With loss 0.1267430099331721
epoch: 9276
Epoch 9276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9276With loss 0.1267430099331721
epoch: 9277
Epoch 9277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9277With loss 0.1267430099331721
epoch: 9278
Epoch 9278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9278With loss 0.1267430099331721
epoch: 9279
Epoch 9279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9279With loss 0.1267430099331721
epoch: 9280
Epoch 9280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9280With loss 0.1267430099331721
epoch: 9281
Epoch 9281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9281With loss 0.1267430099331721
epoch: 9282
Epoch 9282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9282With loss 0.1267430099331721
epoch: 9283
Epoch 9283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9283With loss 0.1267430099331721
epoch: 9284
Epoch 9284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9284With loss 0.1267430099331721
epoch: 9285
Epoch 9285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9285With loss 0.1267430099331721
epoch: 9286
Epoch 9286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9286With loss 0.1267430099331721
epoch: 9287
Epoch 9287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9287With loss 0.1267430099331721
epoch: 9288
Epoch 9288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9288With loss 0.1267430099331721
epoch: 9289
Epoch 9289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9289With loss 0.1267430099331721
epoch: 9290
Epoch 9290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9290With loss 0.1267430099331721
epoch: 9291
Epoch 9291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9291With loss 0.1267430099331721
epoch: 9292
Epoch 9292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9292With loss 0.1267430099331721
epoch: 9293
Epoch 9293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9293With loss 0.1267430099331721
epoch: 9294
Epoch 9294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9294With loss 0.1267430099331721
epoch: 9295
Epoch 9295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9295With loss 0.1267430099331721
epoch: 9296
Epoch 9296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9296With loss 0.1267430099331721
epoch: 9297
Epoch 9297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9297With loss 0.1267430099331721
epoch: 9298
Epoch 9298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9298With loss 0.1267430099331721
epoch: 9299
Epoch 9299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9299With loss 0.1267430099331721
epoch: 9300
Epoch 9300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9300With loss 0.1267430099331721
epoch: 9301
Epoch 9301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9301With loss 0.1267430099331721
epoch: 9302
Epoch 9302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9302With loss 0.1267430099331721
epoch: 9303
Epoch 9303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9303With loss 0.1267430099331721
epoch: 9304
Epoch 9304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9304With loss 0.1267430099331721
epoch: 9305
Epoch 9305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9305With loss 0.1267430099331721
epoch: 9306
Epoch 9306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9306With loss 0.1267430099331721
epoch: 9307
Epoch 9307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9307With loss 0.1267430099331721
epoch: 9308
Epoch 9308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9308With loss 0.1267430099331721
epoch: 9309
Epoch 9309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9309With loss 0.1267430099331721
epoch: 9310
Epoch 9310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9310With loss 0.1267430099331721
epoch: 9311
Epoch 9311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9311With loss 0.1267430099331721
epoch: 9312
Epoch 9312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9312With loss 0.1267430099331721
epoch: 9313
Epoch 9313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9313With loss 0.1267430099331721
epoch: 9314
Epoch 9314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9314With loss 0.1267430099331721
epoch: 9315
Epoch 9315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9315With loss 0.1267430099331721
epoch: 9316
Epoch 9316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9316With loss 0.1267430099331721
epoch: 9317
Epoch 9317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9317With loss 0.1267430099331721
epoch: 9318
Epoch 9318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9318With loss 0.1267430099331721
epoch: 9319
Epoch 9319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9319With loss 0.1267430099331721
epoch: 9320
Epoch 9320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9320With loss 0.1267430099331721
epoch: 9321
Epoch 9321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9321With loss 0.1267430099331721
epoch: 9322
Epoch 9322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9322With loss 0.1267430099331721
epoch: 9323
Epoch 9323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9323With loss 0.1267430099331721
epoch: 9324
Epoch 9324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9324With loss 0.1267430099331721
epoch: 9325
Epoch 9325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9325With loss 0.1267430099331721
epoch: 9326
Epoch 9326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9326With loss 0.1267430099331721
epoch: 9327
Epoch 9327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9327With loss 0.1267430099331721
epoch: 9328
Epoch 9328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9328With loss 0.1267430099331721
epoch: 9329
Epoch 9329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9329With loss 0.1267430099331721
epoch: 9330
Epoch 9330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9330With loss 0.1267430099331721
epoch: 9331
Epoch 9331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9331With loss 0.1267430099331721
epoch: 9332
Epoch 9332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9332With loss 0.1267430099331721
epoch: 9333
Epoch 9333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9333With loss 0.1267430099331721
epoch: 9334
Epoch 9334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9334With loss 0.1267430099331721
epoch: 9335
Epoch 9335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9335With loss 0.1267430099331721
epoch: 9336
Epoch 9336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9336With loss 0.1267430099331721
epoch: 9337
Epoch 9337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9337With loss 0.1267430099331721
epoch: 9338
Epoch 9338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9338With loss 0.1267430099331721
epoch: 9339
Epoch 9339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9339With loss 0.1267430099331721
epoch: 9340
Epoch 9340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9340With loss 0.1267430099331721
epoch: 9341
Epoch 9341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9341With loss 0.1267430099331721
epoch: 9342
Epoch 9342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9342With loss 0.1267430099331721
epoch: 9343
Epoch 9343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9343With loss 0.1267430099331721
epoch: 9344
Epoch 9344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9344With loss 0.1267430099331721
epoch: 9345
Epoch 9345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9345With loss 0.1267430099331721
epoch: 9346
Epoch 9346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9346With loss 0.1267430099331721
epoch: 9347
Epoch 9347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9347With loss 0.1267430099331721
epoch: 9348
Epoch 9348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9348With loss 0.1267430099331721
epoch: 9349
Epoch 9349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9349With loss 0.1267430099331721
epoch: 9350
Epoch 9350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9350With loss 0.1267430099331721
epoch: 9351
Epoch 9351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9351With loss 0.1267430099331721
epoch: 9352
Epoch 9352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9352With loss 0.1267430099331721
epoch: 9353
Epoch 9353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9353With loss 0.1267430099331721
epoch: 9354
Epoch 9354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9354With loss 0.1267430099331721
epoch: 9355
Epoch 9355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9355With loss 0.1267430099331721
epoch: 9356
Epoch 9356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9356With loss 0.1267430099331721
epoch: 9357
Epoch 9357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9357With loss 0.1267430099331721
epoch: 9358
Epoch 9358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9358With loss 0.1267430099331721
epoch: 9359
Epoch 9359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9359With loss 0.1267430099331721
epoch: 9360
Epoch 9360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9360With loss 0.1267430099331721
epoch: 9361
Epoch 9361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9361With loss 0.1267430099331721
epoch: 9362
Epoch 9362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9362With loss 0.1267430099331721
epoch: 9363
Epoch 9363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9363With loss 0.1267430099331721
epoch: 9364
Epoch 9364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9364With loss 0.1267430099331721
epoch: 9365
Epoch 9365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9365With loss 0.1267430099331721
epoch: 9366
Epoch 9366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9366With loss 0.1267430099331721
epoch: 9367
Epoch 9367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9367With loss 0.1267430099331721
epoch: 9368
Epoch 9368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9368With loss 0.1267430099331721
epoch: 9369
Epoch 9369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9369With loss 0.1267430099331721
epoch: 9370
Epoch 9370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9370With loss 0.1267430099331721
epoch: 9371
Epoch 9371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9371With loss 0.1267430099331721
epoch: 9372
Epoch 9372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9372With loss 0.1267430099331721
epoch: 9373
Epoch 9373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9373With loss 0.1267430099331721
epoch: 9374
Epoch 9374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9374With loss 0.1267430099331721
epoch: 9375
Epoch 9375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9375With loss 0.1267430099331721
epoch: 9376
Epoch 9376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9376With loss 0.1267430099331721
epoch: 9377
Epoch 9377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9377With loss 0.1267430099331721
epoch: 9378
Epoch 9378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9378With loss 0.1267430099331721
epoch: 9379
Epoch 9379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9379With loss 0.1267430099331721
epoch: 9380
Epoch 9380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9380With loss 0.1267430099331721
epoch: 9381
Epoch 9381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9381With loss 0.1267430099331721
epoch: 9382
Epoch 9382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9382With loss 0.1267430099331721
epoch: 9383
Epoch 9383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9383With loss 0.1267430099331721
epoch: 9384
Epoch 9384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9384With loss 0.1267430099331721
epoch: 9385
Epoch 9385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9385With loss 0.1267430099331721
epoch: 9386
Epoch 9386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9386With loss 0.1267430099331721
epoch: 9387
Epoch 9387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9387With loss 0.1267430099331721
epoch: 9388
Epoch 9388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9388With loss 0.1267430099331721
epoch: 9389
Epoch 9389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9389With loss 0.1267430099331721
epoch: 9390
Epoch 9390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9390With loss 0.1267430099331721
epoch: 9391
Epoch 9391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9391With loss 0.1267430099331721
epoch: 9392
Epoch 9392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9392With loss 0.1267430099331721
epoch: 9393
Epoch 9393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9393With loss 0.1267430099331721
epoch: 9394
Epoch 9394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9394With loss 0.1267430099331721
epoch: 9395
Epoch 9395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9395With loss 0.1267430099331721
epoch: 9396
Epoch 9396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9396With loss 0.1267430099331721
epoch: 9397
Epoch 9397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9397With loss 0.1267430099331721
epoch: 9398
Epoch 9398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9398With loss 0.1267430099331721
epoch: 9399
Epoch 9399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9399With loss 0.1267430099331721
epoch: 9400
Epoch 9400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9400With loss 0.1267430099331721
epoch: 9401
Epoch 9401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9401With loss 0.1267430099331721
epoch: 9402
Epoch 9402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9402With loss 0.1267430099331721
epoch: 9403
Epoch 9403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9403With loss 0.1267430099331721
epoch: 9404
Epoch 9404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9404With loss 0.1267430099331721
epoch: 9405
Epoch 9405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9405With loss 0.1267430099331721
epoch: 9406
Epoch 9406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9406With loss 0.1267430099331721
epoch: 9407
Epoch 9407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9407With loss 0.1267430099331721
epoch: 9408
Epoch 9408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9408With loss 0.1267430099331721
epoch: 9409
Epoch 9409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9409With loss 0.1267430099331721
epoch: 9410
Epoch 9410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9410With loss 0.1267430099331721
epoch: 9411
Epoch 9411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9411With loss 0.1267430099331721
epoch: 9412
Epoch 9412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9412With loss 0.1267430099331721
epoch: 9413
Epoch 9413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9413With loss 0.1267430099331721
epoch: 9414
Epoch 9414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9414With loss 0.1267430099331721
epoch: 9415
Epoch 9415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9415With loss 0.1267430099331721
epoch: 9416
Epoch 9416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9416With loss 0.1267430099331721
epoch: 9417
Epoch 9417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9417With loss 0.1267430099331721
epoch: 9418
Epoch 9418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9418With loss 0.1267430099331721
epoch: 9419
Epoch 9419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9419With loss 0.1267430099331721
epoch: 9420
Epoch 9420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9420With loss 0.1267430099331721
epoch: 9421
Epoch 9421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9421With loss 0.1267430099331721
epoch: 9422
Epoch 9422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9422With loss 0.1267430099331721
epoch: 9423
Epoch 9423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9423With loss 0.1267430099331721
epoch: 9424
Epoch 9424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9424With loss 0.1267430099331721
epoch: 9425
Epoch 9425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9425With loss 0.1267430099331721
epoch: 9426
Epoch 9426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9426With loss 0.1267430099331721
epoch: 9427
Epoch 9427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9427With loss 0.1267430099331721
epoch: 9428
Epoch 9428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9428With loss 0.1267430099331721
epoch: 9429
Epoch 9429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9429With loss 0.1267430099331721
epoch: 9430
Epoch 9430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9430With loss 0.1267430099331721
epoch: 9431
Epoch 9431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9431With loss 0.1267430099331721
epoch: 9432
Epoch 9432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9432With loss 0.1267430099331721
epoch: 9433
Epoch 9433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9433With loss 0.1267430099331721
epoch: 9434
Epoch 9434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9434With loss 0.1267430099331721
epoch: 9435
Epoch 9435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9435With loss 0.1267430099331721
epoch: 9436
Epoch 9436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9436With loss 0.1267430099331721
epoch: 9437
Epoch 9437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9437With loss 0.1267430099331721
epoch: 9438
Epoch 9438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9438With loss 0.1267430099331721
epoch: 9439
Epoch 9439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9439With loss 0.1267430099331721
epoch: 9440
Epoch 9440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9440With loss 0.1267430099331721
epoch: 9441
Epoch 9441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9441With loss 0.1267430099331721
epoch: 9442
Epoch 9442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9442With loss 0.1267430099331721
epoch: 9443
Epoch 9443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9443With loss 0.1267430099331721
epoch: 9444
Epoch 9444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9444With loss 0.1267430099331721
epoch: 9445
Epoch 9445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9445With loss 0.1267430099331721
epoch: 9446
Epoch 9446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9446With loss 0.1267430099331721
epoch: 9447
Epoch 9447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9447With loss 0.1267430099331721
epoch: 9448
Epoch 9448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9448With loss 0.1267430099331721
epoch: 9449
Epoch 9449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9449With loss 0.1267430099331721
epoch: 9450
Epoch 9450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9450With loss 0.1267430099331721
epoch: 9451
Epoch 9451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9451With loss 0.1267430099331721
epoch: 9452
Epoch 9452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9452With loss 0.1267430099331721
epoch: 9453
Epoch 9453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9453With loss 0.1267430099331721
epoch: 9454
Epoch 9454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9454With loss 0.1267430099331721
epoch: 9455
Epoch 9455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9455With loss 0.1267430099331721
epoch: 9456
Epoch 9456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9456With loss 0.1267430099331721
epoch: 9457
Epoch 9457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9457With loss 0.1267430099331721
epoch: 9458
Epoch 9458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9458With loss 0.1267430099331721
epoch: 9459
Epoch 9459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9459With loss 0.1267430099331721
epoch: 9460
Epoch 9460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9460With loss 0.1267430099331721
epoch: 9461
Epoch 9461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9461With loss 0.1267430099331721
epoch: 9462
Epoch 9462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9462With loss 0.1267430099331721
epoch: 9463
Epoch 9463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9463With loss 0.1267430099331721
epoch: 9464
Epoch 9464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9464With loss 0.1267430099331721
epoch: 9465
Epoch 9465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9465With loss 0.1267430099331721
epoch: 9466
Epoch 9466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9466With loss 0.1267430099331721
epoch: 9467
Epoch 9467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9467With loss 0.1267430099331721
epoch: 9468
Epoch 9468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9468With loss 0.1267430099331721
epoch: 9469
Epoch 9469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9469With loss 0.1267430099331721
epoch: 9470
Epoch 9470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9470With loss 0.1267430099331721
epoch: 9471
Epoch 9471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9471With loss 0.1267430099331721
epoch: 9472
Epoch 9472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9472With loss 0.1267430099331721
epoch: 9473
Epoch 9473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9473With loss 0.1267430099331721
epoch: 9474
Epoch 9474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9474With loss 0.1267430099331721
epoch: 9475
Epoch 9475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9475With loss 0.1267430099331721
epoch: 9476
Epoch 9476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9476With loss 0.1267430099331721
epoch: 9477
Epoch 9477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9477With loss 0.1267430099331721
epoch: 9478
Epoch 9478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9478With loss 0.1267430099331721
epoch: 9479
Epoch 9479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9479With loss 0.1267430099331721
epoch: 9480
Epoch 9480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9480With loss 0.1267430099331721
epoch: 9481
Epoch 9481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9481With loss 0.1267430099331721
epoch: 9482
Epoch 9482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9482With loss 0.1267430099331721
epoch: 9483
Epoch 9483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9483With loss 0.1267430099331721
epoch: 9484
Epoch 9484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9484With loss 0.1267430099331721
epoch: 9485
Epoch 9485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9485With loss 0.1267430099331721
epoch: 9486
Epoch 9486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9486With loss 0.1267430099331721
epoch: 9487
Epoch 9487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9487With loss 0.1267430099331721
epoch: 9488
Epoch 9488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9488With loss 0.1267430099331721
epoch: 9489
Epoch 9489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9489With loss 0.1267430099331721
epoch: 9490
Epoch 9490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9490With loss 0.1267430099331721
epoch: 9491
Epoch 9491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9491With loss 0.1267430099331721
epoch: 9492
Epoch 9492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9492With loss 0.1267430099331721
epoch: 9493
Epoch 9493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9493With loss 0.1267430099331721
epoch: 9494
Epoch 9494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9494With loss 0.1267430099331721
epoch: 9495
Epoch 9495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9495With loss 0.1267430099331721
epoch: 9496
Epoch 9496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9496With loss 0.1267430099331721
epoch: 9497
Epoch 9497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9497With loss 0.1267430099331721
epoch: 9498
Epoch 9498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9498With loss 0.1267430099331721
epoch: 9499
Epoch 9499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9499With loss 0.1267430099331721
epoch: 9500
Epoch 9500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9500With loss 0.1267430099331721
epoch: 9501
Epoch 9501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9501With loss 0.1267430099331721
epoch: 9502
Epoch 9502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9502With loss 0.1267430099331721
epoch: 9503
Epoch 9503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9503With loss 0.1267430099331721
epoch: 9504
Epoch 9504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9504With loss 0.1267430099331721
epoch: 9505
Epoch 9505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9505With loss 0.1267430099331721
epoch: 9506
Epoch 9506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9506With loss 0.1267430099331721
epoch: 9507
Epoch 9507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9507With loss 0.1267430099331721
epoch: 9508
Epoch 9508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9508With loss 0.1267430099331721
epoch: 9509
Epoch 9509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9509With loss 0.1267430099331721
epoch: 9510
Epoch 9510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9510With loss 0.1267430099331721
epoch: 9511
Epoch 9511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9511With loss 0.1267430099331721
epoch: 9512
Epoch 9512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9512With loss 0.1267430099331721
epoch: 9513
Epoch 9513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9513With loss 0.1267430099331721
epoch: 9514
Epoch 9514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9514With loss 0.1267430099331721
epoch: 9515
Epoch 9515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9515With loss 0.1267430099331721
epoch: 9516
Epoch 9516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9516With loss 0.1267430099331721
epoch: 9517
Epoch 9517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9517With loss 0.1267430099331721
epoch: 9518
Epoch 9518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9518With loss 0.1267430099331721
epoch: 9519
Epoch 9519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9519With loss 0.1267430099331721
epoch: 9520
Epoch 9520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9520With loss 0.1267430099331721
epoch: 9521
Epoch 9521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9521With loss 0.1267430099331721
epoch: 9522
Epoch 9522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9522With loss 0.1267430099331721
epoch: 9523
Epoch 9523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9523With loss 0.1267430099331721
epoch: 9524
Epoch 9524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9524With loss 0.1267430099331721
epoch: 9525
Epoch 9525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9525With loss 0.1267430099331721
epoch: 9526
Epoch 9526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9526With loss 0.1267430099331721
epoch: 9527
Epoch 9527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9527With loss 0.1267430099331721
epoch: 9528
Epoch 9528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9528With loss 0.1267430099331721
epoch: 9529
Epoch 9529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9529With loss 0.1267430099331721
epoch: 9530
Epoch 9530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9530With loss 0.1267430099331721
epoch: 9531
Epoch 9531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9531With loss 0.1267430099331721
epoch: 9532
Epoch 9532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9532With loss 0.1267430099331721
epoch: 9533
Epoch 9533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9533With loss 0.1267430099331721
epoch: 9534
Epoch 9534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9534With loss 0.1267430099331721
epoch: 9535
Epoch 9535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9535With loss 0.1267430099331721
epoch: 9536
Epoch 9536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9536With loss 0.1267430099331721
epoch: 9537
Epoch 9537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9537With loss 0.1267430099331721
epoch: 9538
Epoch 9538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9538With loss 0.1267430099331721
epoch: 9539
Epoch 9539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9539With loss 0.1267430099331721
epoch: 9540
Epoch 9540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9540With loss 0.1267430099331721
epoch: 9541
Epoch 9541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9541With loss 0.1267430099331721
epoch: 9542
Epoch 9542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9542With loss 0.1267430099331721
epoch: 9543
Epoch 9543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9543With loss 0.1267430099331721
epoch: 9544
Epoch 9544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9544With loss 0.1267430099331721
epoch: 9545
Epoch 9545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9545With loss 0.1267430099331721
epoch: 9546
Epoch 9546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9546With loss 0.1267430099331721
epoch: 9547
Epoch 9547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9547With loss 0.1267430099331721
epoch: 9548
Epoch 9548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9548With loss 0.1267430099331721
epoch: 9549
Epoch 9549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9549With loss 0.1267430099331721
epoch: 9550
Epoch 9550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9550With loss 0.1267430099331721
epoch: 9551
Epoch 9551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9551With loss 0.1267430099331721
epoch: 9552
Epoch 9552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9552With loss 0.1267430099331721
epoch: 9553
Epoch 9553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9553With loss 0.1267430099331721
epoch: 9554
Epoch 9554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9554With loss 0.1267430099331721
epoch: 9555
Epoch 9555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9555With loss 0.1267430099331721
epoch: 9556
Epoch 9556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9556With loss 0.1267430099331721
epoch: 9557
Epoch 9557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9557With loss 0.1267430099331721
epoch: 9558
Epoch 9558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9558With loss 0.1267430099331721
epoch: 9559
Epoch 9559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9559With loss 0.1267430099331721
epoch: 9560
Epoch 9560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9560With loss 0.1267430099331721
epoch: 9561
Epoch 9561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9561With loss 0.1267430099331721
epoch: 9562
Epoch 9562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9562With loss 0.1267430099331721
epoch: 9563
Epoch 9563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9563With loss 0.1267430099331721
epoch: 9564
Epoch 9564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9564With loss 0.1267430099331721
epoch: 9565
Epoch 9565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9565With loss 0.1267430099331721
epoch: 9566
Epoch 9566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9566With loss 0.1267430099331721
epoch: 9567
Epoch 9567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9567With loss 0.1267430099331721
epoch: 9568
Epoch 9568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9568With loss 0.1267430099331721
epoch: 9569
Epoch 9569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9569With loss 0.1267430099331721
epoch: 9570
Epoch 9570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9570With loss 0.1267430099331721
epoch: 9571
Epoch 9571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9571With loss 0.1267430099331721
epoch: 9572
Epoch 9572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9572With loss 0.1267430099331721
epoch: 9573
Epoch 9573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9573With loss 0.1267430099331721
epoch: 9574
Epoch 9574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9574With loss 0.1267430099331721
epoch: 9575
Epoch 9575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9575With loss 0.1267430099331721
epoch: 9576
Epoch 9576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9576With loss 0.1267430099331721
epoch: 9577
Epoch 9577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9577With loss 0.1267430099331721
epoch: 9578
Epoch 9578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9578With loss 0.1267430099331721
epoch: 9579
Epoch 9579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9579With loss 0.1267430099331721
epoch: 9580
Epoch 9580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9580With loss 0.1267430099331721
epoch: 9581
Epoch 9581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9581With loss 0.1267430099331721
epoch: 9582
Epoch 9582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9582With loss 0.1267430099331721
epoch: 9583
Epoch 9583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9583With loss 0.1267430099331721
epoch: 9584
Epoch 9584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9584With loss 0.1267430099331721
epoch: 9585
Epoch 9585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9585With loss 0.1267430099331721
epoch: 9586
Epoch 9586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9586With loss 0.1267430099331721
epoch: 9587
Epoch 9587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9587With loss 0.1267430099331721
epoch: 9588
Epoch 9588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9588With loss 0.1267430099331721
epoch: 9589
Epoch 9589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9589With loss 0.1267430099331721
epoch: 9590
Epoch 9590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9590With loss 0.1267430099331721
epoch: 9591
Epoch 9591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9591With loss 0.1267430099331721
epoch: 9592
Epoch 9592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9592With loss 0.1267430099331721
epoch: 9593
Epoch 9593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9593With loss 0.1267430099331721
epoch: 9594
Epoch 9594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9594With loss 0.1267430099331721
epoch: 9595
Epoch 9595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9595With loss 0.1267430099331721
epoch: 9596
Epoch 9596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9596With loss 0.1267430099331721
epoch: 9597
Epoch 9597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9597With loss 0.1267430099331721
epoch: 9598
Epoch 9598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9598With loss 0.1267430099331721
epoch: 9599
Epoch 9599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9599With loss 0.1267430099331721
epoch: 9600
Epoch 9600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9600With loss 0.1267430099331721
epoch: 9601
Epoch 9601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9601With loss 0.1267430099331721
epoch: 9602
Epoch 9602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9602With loss 0.1267430099331721
epoch: 9603
Epoch 9603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9603With loss 0.1267430099331721
epoch: 9604
Epoch 9604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9604With loss 0.1267430099331721
epoch: 9605
Epoch 9605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9605With loss 0.1267430099331721
epoch: 9606
Epoch 9606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9606With loss 0.1267430099331721
epoch: 9607
Epoch 9607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9607With loss 0.1267430099331721
epoch: 9608
Epoch 9608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9608With loss 0.1267430099331721
epoch: 9609
Epoch 9609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9609With loss 0.1267430099331721
epoch: 9610
Epoch 9610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9610With loss 0.1267430099331721
epoch: 9611
Epoch 9611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9611With loss 0.1267430099331721
epoch: 9612
Epoch 9612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9612With loss 0.1267430099331721
epoch: 9613
Epoch 9613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9613With loss 0.1267430099331721
epoch: 9614
Epoch 9614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9614With loss 0.1267430099331721
epoch: 9615
Epoch 9615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9615With loss 0.1267430099331721
epoch: 9616
Epoch 9616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9616With loss 0.1267430099331721
epoch: 9617
Epoch 9617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9617With loss 0.1267430099331721
epoch: 9618
Epoch 9618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9618With loss 0.1267430099331721
epoch: 9619
Epoch 9619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9619With loss 0.1267430099331721
epoch: 9620
Epoch 9620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9620With loss 0.1267430099331721
epoch: 9621
Epoch 9621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9621With loss 0.1267430099331721
epoch: 9622
Epoch 9622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9622With loss 0.1267430099331721
epoch: 9623
Epoch 9623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9623With loss 0.1267430099331721
epoch: 9624
Epoch 9624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9624With loss 0.1267430099331721
epoch: 9625
Epoch 9625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9625With loss 0.1267430099331721
epoch: 9626
Epoch 9626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9626With loss 0.1267430099331721
epoch: 9627
Epoch 9627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9627With loss 0.1267430099331721
epoch: 9628
Epoch 9628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9628With loss 0.1267430099331721
epoch: 9629
Epoch 9629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9629With loss 0.1267430099331721
epoch: 9630
Epoch 9630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9630With loss 0.1267430099331721
epoch: 9631
Epoch 9631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9631With loss 0.1267430099331721
epoch: 9632
Epoch 9632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9632With loss 0.1267430099331721
epoch: 9633
Epoch 9633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9633With loss 0.1267430099331721
epoch: 9634
Epoch 9634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9634With loss 0.1267430099331721
epoch: 9635
Epoch 9635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9635With loss 0.1267430099331721
epoch: 9636
Epoch 9636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9636With loss 0.1267430099331721
epoch: 9637
Epoch 9637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9637With loss 0.1267430099331721
epoch: 9638
Epoch 9638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9638With loss 0.1267430099331721
epoch: 9639
Epoch 9639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9639With loss 0.1267430099331721
epoch: 9640
Epoch 9640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9640With loss 0.1267430099331721
epoch: 9641
Epoch 9641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9641With loss 0.1267430099331721
epoch: 9642
Epoch 9642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9642With loss 0.1267430099331721
epoch: 9643
Epoch 9643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9643With loss 0.1267430099331721
epoch: 9644
Epoch 9644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9644With loss 0.1267430099331721
epoch: 9645
Epoch 9645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9645With loss 0.1267430099331721
epoch: 9646
Epoch 9646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9646With loss 0.1267430099331721
epoch: 9647
Epoch 9647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9647With loss 0.1267430099331721
epoch: 9648
Epoch 9648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9648With loss 0.1267430099331721
epoch: 9649
Epoch 9649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9649With loss 0.1267430099331721
epoch: 9650
Epoch 9650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9650With loss 0.1267430099331721
epoch: 9651
Epoch 9651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9651With loss 0.1267430099331721
epoch: 9652
Epoch 9652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9652With loss 0.1267430099331721
epoch: 9653
Epoch 9653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9653With loss 0.1267430099331721
epoch: 9654
Epoch 9654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9654With loss 0.1267430099331721
epoch: 9655
Epoch 9655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9655With loss 0.1267430099331721
epoch: 9656
Epoch 9656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9656With loss 0.1267430099331721
epoch: 9657
Epoch 9657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9657With loss 0.1267430099331721
epoch: 9658
Epoch 9658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9658With loss 0.1267430099331721
epoch: 9659
Epoch 9659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9659With loss 0.1267430099331721
epoch: 9660
Epoch 9660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9660With loss 0.1267430099331721
epoch: 9661
Epoch 9661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9661With loss 0.1267430099331721
epoch: 9662
Epoch 9662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9662With loss 0.1267430099331721
epoch: 9663
Epoch 9663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9663With loss 0.1267430099331721
epoch: 9664
Epoch 9664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9664With loss 0.1267430099331721
epoch: 9665
Epoch 9665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9665With loss 0.1267430099331721
epoch: 9666
Epoch 9666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9666With loss 0.1267430099331721
epoch: 9667
Epoch 9667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9667With loss 0.1267430099331721
epoch: 9668
Epoch 9668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9668With loss 0.1267430099331721
epoch: 9669
Epoch 9669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9669With loss 0.1267430099331721
epoch: 9670
Epoch 9670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9670With loss 0.1267430099331721
epoch: 9671
Epoch 9671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9671With loss 0.1267430099331721
epoch: 9672
Epoch 9672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9672With loss 0.1267430099331721
epoch: 9673
Epoch 9673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9673With loss 0.1267430099331721
epoch: 9674
Epoch 9674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9674With loss 0.1267430099331721
epoch: 9675
Epoch 9675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9675With loss 0.1267430099331721
epoch: 9676
Epoch 9676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9676With loss 0.1267430099331721
epoch: 9677
Epoch 9677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9677With loss 0.1267430099331721
epoch: 9678
Epoch 9678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9678With loss 0.1267430099331721
epoch: 9679
Epoch 9679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9679With loss 0.1267430099331721
epoch: 9680
Epoch 9680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9680With loss 0.1267430099331721
epoch: 9681
Epoch 9681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9681With loss 0.1267430099331721
epoch: 9682
Epoch 9682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9682With loss 0.1267430099331721
epoch: 9683
Epoch 9683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9683With loss 0.1267430099331721
epoch: 9684
Epoch 9684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9684With loss 0.1267430099331721
epoch: 9685
Epoch 9685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9685With loss 0.1267430099331721
epoch: 9686
Epoch 9686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9686With loss 0.1267430099331721
epoch: 9687
Epoch 9687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9687With loss 0.1267430099331721
epoch: 9688
Epoch 9688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9688With loss 0.1267430099331721
epoch: 9689
Epoch 9689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9689With loss 0.1267430099331721
epoch: 9690
Epoch 9690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9690With loss 0.1267430099331721
epoch: 9691
Epoch 9691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9691With loss 0.1267430099331721
epoch: 9692
Epoch 9692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9692With loss 0.1267430099331721
epoch: 9693
Epoch 9693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9693With loss 0.1267430099331721
epoch: 9694
Epoch 9694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9694With loss 0.1267430099331721
epoch: 9695
Epoch 9695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9695With loss 0.1267430099331721
epoch: 9696
Epoch 9696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9696With loss 0.1267430099331721
epoch: 9697
Epoch 9697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9697With loss 0.1267430099331721
epoch: 9698
Epoch 9698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9698With loss 0.1267430099331721
epoch: 9699
Epoch 9699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9699With loss 0.1267430099331721
epoch: 9700
Epoch 9700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9700With loss 0.1267430099331721
epoch: 9701
Epoch 9701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9701With loss 0.1267430099331721
epoch: 9702
Epoch 9702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9702With loss 0.1267430099331721
epoch: 9703
Epoch 9703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9703With loss 0.1267430099331721
epoch: 9704
Epoch 9704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9704With loss 0.1267430099331721
epoch: 9705
Epoch 9705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9705With loss 0.1267430099331721
epoch: 9706
Epoch 9706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9706With loss 0.1267430099331721
epoch: 9707
Epoch 9707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9707With loss 0.1267430099331721
epoch: 9708
Epoch 9708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9708With loss 0.1267430099331721
epoch: 9709
Epoch 9709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9709With loss 0.1267430099331721
epoch: 9710
Epoch 9710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9710With loss 0.1267430099331721
epoch: 9711
Epoch 9711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9711With loss 0.1267430099331721
epoch: 9712
Epoch 9712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9712With loss 0.1267430099331721
epoch: 9713
Epoch 9713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9713With loss 0.1267430099331721
epoch: 9714
Epoch 9714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9714With loss 0.1267430099331721
epoch: 9715
Epoch 9715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9715With loss 0.1267430099331721
epoch: 9716
Epoch 9716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9716With loss 0.1267430099331721
epoch: 9717
Epoch 9717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9717With loss 0.1267430099331721
epoch: 9718
Epoch 9718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9718With loss 0.1267430099331721
epoch: 9719
Epoch 9719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9719With loss 0.1267430099331721
epoch: 9720
Epoch 9720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9720With loss 0.1267430099331721
epoch: 9721
Epoch 9721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9721With loss 0.1267430099331721
epoch: 9722
Epoch 9722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9722With loss 0.1267430099331721
epoch: 9723
Epoch 9723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9723With loss 0.1267430099331721
epoch: 9724
Epoch 9724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9724With loss 0.1267430099331721
epoch: 9725
Epoch 9725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9725With loss 0.1267430099331721
epoch: 9726
Epoch 9726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9726With loss 0.1267430099331721
epoch: 9727
Epoch 9727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9727With loss 0.1267430099331721
epoch: 9728
Epoch 9728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9728With loss 0.1267430099331721
epoch: 9729
Epoch 9729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9729With loss 0.1267430099331721
epoch: 9730
Epoch 9730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9730With loss 0.1267430099331721
epoch: 9731
Epoch 9731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9731With loss 0.1267430099331721
epoch: 9732
Epoch 9732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9732With loss 0.1267430099331721
epoch: 9733
Epoch 9733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9733With loss 0.1267430099331721
epoch: 9734
Epoch 9734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9734With loss 0.1267430099331721
epoch: 9735
Epoch 9735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9735With loss 0.1267430099331721
epoch: 9736
Epoch 9736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9736With loss 0.1267430099331721
epoch: 9737
Epoch 9737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9737With loss 0.1267430099331721
epoch: 9738
Epoch 9738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9738With loss 0.1267430099331721
epoch: 9739
Epoch 9739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9739With loss 0.1267430099331721
epoch: 9740
Epoch 9740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9740With loss 0.1267430099331721
epoch: 9741
Epoch 9741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9741With loss 0.1267430099331721
epoch: 9742
Epoch 9742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9742With loss 0.1267430099331721
epoch: 9743
Epoch 9743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9743With loss 0.1267430099331721
epoch: 9744
Epoch 9744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9744With loss 0.1267430099331721
epoch: 9745
Epoch 9745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9745With loss 0.1267430099331721
epoch: 9746
Epoch 9746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9746With loss 0.1267430099331721
epoch: 9747
Epoch 9747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9747With loss 0.1267430099331721
epoch: 9748
Epoch 9748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9748With loss 0.1267430099331721
epoch: 9749
Epoch 9749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9749With loss 0.1267430099331721
epoch: 9750
Epoch 9750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9750With loss 0.1267430099331721
epoch: 9751
Epoch 9751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9751With loss 0.1267430099331721
epoch: 9752
Epoch 9752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9752With loss 0.1267430099331721
epoch: 9753
Epoch 9753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9753With loss 0.1267430099331721
epoch: 9754
Epoch 9754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9754With loss 0.1267430099331721
epoch: 9755
Epoch 9755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9755With loss 0.1267430099331721
epoch: 9756
Epoch 9756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9756With loss 0.1267430099331721
epoch: 9757
Epoch 9757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9757With loss 0.1267430099331721
epoch: 9758
Epoch 9758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9758With loss 0.1267430099331721
epoch: 9759
Epoch 9759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9759With loss 0.1267430099331721
epoch: 9760
Epoch 9760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9760With loss 0.1267430099331721
epoch: 9761
Epoch 9761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9761With loss 0.1267430099331721
epoch: 9762
Epoch 9762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9762With loss 0.1267430099331721
epoch: 9763
Epoch 9763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9763With loss 0.1267430099331721
epoch: 9764
Epoch 9764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9764With loss 0.1267430099331721
epoch: 9765
Epoch 9765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9765With loss 0.1267430099331721
epoch: 9766
Epoch 9766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9766With loss 0.1267430099331721
epoch: 9767
Epoch 9767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9767With loss 0.1267430099331721
epoch: 9768
Epoch 9768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9768With loss 0.1267430099331721
epoch: 9769
Epoch 9769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9769With loss 0.1267430099331721
epoch: 9770
Epoch 9770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9770With loss 0.1267430099331721
epoch: 9771
Epoch 9771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9771With loss 0.1267430099331721
epoch: 9772
Epoch 9772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9772With loss 0.1267430099331721
epoch: 9773
Epoch 9773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9773With loss 0.1267430099331721
epoch: 9774
Epoch 9774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9774With loss 0.1267430099331721
epoch: 9775
Epoch 9775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9775With loss 0.1267430099331721
epoch: 9776
Epoch 9776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9776With loss 0.1267430099331721
epoch: 9777
Epoch 9777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9777With loss 0.1267430099331721
epoch: 9778
Epoch 9778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9778With loss 0.1267430099331721
epoch: 9779
Epoch 9779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9779With loss 0.1267430099331721
epoch: 9780
Epoch 9780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9780With loss 0.1267430099331721
epoch: 9781
Epoch 9781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9781With loss 0.1267430099331721
epoch: 9782
Epoch 9782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9782With loss 0.1267430099331721
epoch: 9783
Epoch 9783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9783With loss 0.1267430099331721
epoch: 9784
Epoch 9784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9784With loss 0.1267430099331721
epoch: 9785
Epoch 9785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9785With loss 0.1267430099331721
epoch: 9786
Epoch 9786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9786With loss 0.1267430099331721
epoch: 9787
Epoch 9787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9787With loss 0.1267430099331721
epoch: 9788
Epoch 9788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9788With loss 0.1267430099331721
epoch: 9789
Epoch 9789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9789With loss 0.1267430099331721
epoch: 9790
Epoch 9790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9790With loss 0.1267430099331721
epoch: 9791
Epoch 9791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9791With loss 0.1267430099331721
epoch: 9792
Epoch 9792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9792With loss 0.1267430099331721
epoch: 9793
Epoch 9793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9793With loss 0.1267430099331721
epoch: 9794
Epoch 9794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9794With loss 0.1267430099331721
epoch: 9795
Epoch 9795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9795With loss 0.1267430099331721
epoch: 9796
Epoch 9796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9796With loss 0.1267430099331721
epoch: 9797
Epoch 9797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9797With loss 0.1267430099331721
epoch: 9798
Epoch 9798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9798With loss 0.1267430099331721
epoch: 9799
Epoch 9799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9799With loss 0.1267430099331721
epoch: 9800
Epoch 9800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9800With loss 0.1267430099331721
epoch: 9801
Epoch 9801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9801With loss 0.1267430099331721
epoch: 9802
Epoch 9802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9802With loss 0.1267430099331721
epoch: 9803
Epoch 9803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9803With loss 0.1267430099331721
epoch: 9804
Epoch 9804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9804With loss 0.1267430099331721
epoch: 9805
Epoch 9805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9805With loss 0.1267430099331721
epoch: 9806
Epoch 9806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9806With loss 0.1267430099331721
epoch: 9807
Epoch 9807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9807With loss 0.1267430099331721
epoch: 9808
Epoch 9808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9808With loss 0.1267430099331721
epoch: 9809
Epoch 9809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9809With loss 0.1267430099331721
epoch: 9810
Epoch 9810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9810With loss 0.1267430099331721
epoch: 9811
Epoch 9811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9811With loss 0.1267430099331721
epoch: 9812
Epoch 9812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9812With loss 0.1267430099331721
epoch: 9813
Epoch 9813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9813With loss 0.1267430099331721
epoch: 9814
Epoch 9814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9814With loss 0.1267430099331721
epoch: 9815
Epoch 9815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9815With loss 0.1267430099331721
epoch: 9816
Epoch 9816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9816With loss 0.1267430099331721
epoch: 9817
Epoch 9817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9817With loss 0.1267430099331721
epoch: 9818
Epoch 9818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9818With loss 0.1267430099331721
epoch: 9819
Epoch 9819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9819With loss 0.1267430099331721
epoch: 9820
Epoch 9820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9820With loss 0.1267430099331721
epoch: 9821
Epoch 9821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9821With loss 0.1267430099331721
epoch: 9822
Epoch 9822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9822With loss 0.1267430099331721
epoch: 9823
Epoch 9823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9823With loss 0.1267430099331721
epoch: 9824
Epoch 9824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9824With loss 0.1267430099331721
epoch: 9825
Epoch 9825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9825With loss 0.1267430099331721
epoch: 9826
Epoch 9826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9826With loss 0.1267430099331721
epoch: 9827
Epoch 9827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9827With loss 0.1267430099331721
epoch: 9828
Epoch 9828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9828With loss 0.1267430099331721
epoch: 9829
Epoch 9829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9829With loss 0.1267430099331721
epoch: 9830
Epoch 9830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9830With loss 0.1267430099331721
epoch: 9831
Epoch 9831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9831With loss 0.1267430099331721
epoch: 9832
Epoch 9832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9832With loss 0.1267430099331721
epoch: 9833
Epoch 9833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9833With loss 0.1267430099331721
epoch: 9834
Epoch 9834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9834With loss 0.1267430099331721
epoch: 9835
Epoch 9835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9835With loss 0.1267430099331721
epoch: 9836
Epoch 9836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9836With loss 0.1267430099331721
epoch: 9837
Epoch 9837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9837With loss 0.1267430099331721
epoch: 9838
Epoch 9838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9838With loss 0.1267430099331721
epoch: 9839
Epoch 9839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9839With loss 0.1267430099331721
epoch: 9840
Epoch 9840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9840With loss 0.1267430099331721
epoch: 9841
Epoch 9841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9841With loss 0.1267430099331721
epoch: 9842
Epoch 9842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9842With loss 0.1267430099331721
epoch: 9843
Epoch 9843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9843With loss 0.1267430099331721
epoch: 9844
Epoch 9844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9844With loss 0.1267430099331721
epoch: 9845
Epoch 9845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9845With loss 0.1267430099331721
epoch: 9846
Epoch 9846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9846With loss 0.1267430099331721
epoch: 9847
Epoch 9847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9847With loss 0.1267430099331721
epoch: 9848
Epoch 9848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9848With loss 0.1267430099331721
epoch: 9849
Epoch 9849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9849With loss 0.1267430099331721
epoch: 9850
Epoch 9850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9850With loss 0.1267430099331721
epoch: 9851
Epoch 9851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9851With loss 0.1267430099331721
epoch: 9852
Epoch 9852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9852With loss 0.1267430099331721
epoch: 9853
Epoch 9853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9853With loss 0.1267430099331721
epoch: 9854
Epoch 9854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9854With loss 0.1267430099331721
epoch: 9855
Epoch 9855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9855With loss 0.1267430099331721
epoch: 9856
Epoch 9856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9856With loss 0.1267430099331721
epoch: 9857
Epoch 9857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9857With loss 0.1267430099331721
epoch: 9858
Epoch 9858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9858With loss 0.1267430099331721
epoch: 9859
Epoch 9859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9859With loss 0.1267430099331721
epoch: 9860
Epoch 9860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9860With loss 0.1267430099331721
epoch: 9861
Epoch 9861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9861With loss 0.1267430099331721
epoch: 9862
Epoch 9862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9862With loss 0.1267430099331721
epoch: 9863
Epoch 9863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9863With loss 0.1267430099331721
epoch: 9864
Epoch 9864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9864With loss 0.1267430099331721
epoch: 9865
Epoch 9865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9865With loss 0.1267430099331721
epoch: 9866
Epoch 9866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9866With loss 0.1267430099331721
epoch: 9867
Epoch 9867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9867With loss 0.1267430099331721
epoch: 9868
Epoch 9868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9868With loss 0.1267430099331721
epoch: 9869
Epoch 9869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9869With loss 0.1267430099331721
epoch: 9870
Epoch 9870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9870With loss 0.1267430099331721
epoch: 9871
Epoch 9871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9871With loss 0.1267430099331721
epoch: 9872
Epoch 9872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9872With loss 0.1267430099331721
epoch: 9873
Epoch 9873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9873With loss 0.1267430099331721
epoch: 9874
Epoch 9874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9874With loss 0.1267430099331721
epoch: 9875
Epoch 9875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9875With loss 0.1267430099331721
epoch: 9876
Epoch 9876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9876With loss 0.1267430099331721
epoch: 9877
Epoch 9877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9877With loss 0.1267430099331721
epoch: 9878
Epoch 9878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9878With loss 0.1267430099331721
epoch: 9879
Epoch 9879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9879With loss 0.1267430099331721
epoch: 9880
Epoch 9880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9880With loss 0.1267430099331721
epoch: 9881
Epoch 9881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9881With loss 0.1267430099331721
epoch: 9882
Epoch 9882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9882With loss 0.1267430099331721
epoch: 9883
Epoch 9883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9883With loss 0.1267430099331721
epoch: 9884
Epoch 9884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9884With loss 0.1267430099331721
epoch: 9885
Epoch 9885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9885With loss 0.1267430099331721
epoch: 9886
Epoch 9886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9886With loss 0.1267430099331721
epoch: 9887
Epoch 9887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9887With loss 0.1267430099331721
epoch: 9888
Epoch 9888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9888With loss 0.1267430099331721
epoch: 9889
Epoch 9889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9889With loss 0.1267430099331721
epoch: 9890
Epoch 9890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9890With loss 0.1267430099331721
epoch: 9891
Epoch 9891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9891With loss 0.1267430099331721
epoch: 9892
Epoch 9892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9892With loss 0.1267430099331721
epoch: 9893
Epoch 9893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9893With loss 0.1267430099331721
epoch: 9894
Epoch 9894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9894With loss 0.1267430099331721
epoch: 9895
Epoch 9895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9895With loss 0.1267430099331721
epoch: 9896
Epoch 9896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9896With loss 0.1267430099331721
epoch: 9897
Epoch 9897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9897With loss 0.1267430099331721
epoch: 9898
Epoch 9898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9898With loss 0.1267430099331721
epoch: 9899
Epoch 9899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9899With loss 0.1267430099331721
epoch: 9900
Epoch 9900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9900With loss 0.1267430099331721
epoch: 9901
Epoch 9901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9901With loss 0.1267430099331721
epoch: 9902
Epoch 9902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9902With loss 0.1267430099331721
epoch: 9903
Epoch 9903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9903With loss 0.1267430099331721
epoch: 9904
Epoch 9904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9904With loss 0.1267430099331721
epoch: 9905
Epoch 9905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9905With loss 0.1267430099331721
epoch: 9906
Epoch 9906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9906With loss 0.1267430099331721
epoch: 9907
Epoch 9907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9907With loss 0.1267430099331721
epoch: 9908
Epoch 9908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9908With loss 0.1267430099331721
epoch: 9909
Epoch 9909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9909With loss 0.1267430099331721
epoch: 9910
Epoch 9910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9910With loss 0.1267430099331721
epoch: 9911
Epoch 9911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9911With loss 0.1267430099331721
epoch: 9912
Epoch 9912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9912With loss 0.1267430099331721
epoch: 9913
Epoch 9913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9913With loss 0.1267430099331721
epoch: 9914
Epoch 9914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9914With loss 0.1267430099331721
epoch: 9915
Epoch 9915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9915With loss 0.1267430099331721
epoch: 9916
Epoch 9916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9916With loss 0.1267430099331721
epoch: 9917
Epoch 9917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9917With loss 0.1267430099331721
epoch: 9918
Epoch 9918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9918With loss 0.1267430099331721
epoch: 9919
Epoch 9919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9919With loss 0.1267430099331721
epoch: 9920
Epoch 9920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9920With loss 0.1267430099331721
epoch: 9921
Epoch 9921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9921With loss 0.1267430099331721
epoch: 9922
Epoch 9922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9922With loss 0.1267430099331721
epoch: 9923
Epoch 9923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9923With loss 0.1267430099331721
epoch: 9924
Epoch 9924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9924With loss 0.1267430099331721
epoch: 9925
Epoch 9925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9925With loss 0.1267430099331721
epoch: 9926
Epoch 9926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9926With loss 0.1267430099331721
epoch: 9927
Epoch 9927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9927With loss 0.1267430099331721
epoch: 9928
Epoch 9928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9928With loss 0.1267430099331721
epoch: 9929
Epoch 9929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9929With loss 0.1267430099331721
epoch: 9930
Epoch 9930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9930With loss 0.1267430099331721
epoch: 9931
Epoch 9931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9931With loss 0.1267430099331721
epoch: 9932
Epoch 9932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9932With loss 0.1267430099331721
epoch: 9933
Epoch 9933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9933With loss 0.1267430099331721
epoch: 9934
Epoch 9934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9934With loss 0.1267430099331721
epoch: 9935
Epoch 9935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9935With loss 0.1267430099331721
epoch: 9936
Epoch 9936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9936With loss 0.1267430099331721
epoch: 9937
Epoch 9937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9937With loss 0.1267430099331721
epoch: 9938
Epoch 9938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9938With loss 0.1267430099331721
epoch: 9939
Epoch 9939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9939With loss 0.1267430099331721
epoch: 9940
Epoch 9940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9940With loss 0.1267430099331721
epoch: 9941
Epoch 9941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9941With loss 0.1267430099331721
epoch: 9942
Epoch 9942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9942With loss 0.1267430099331721
epoch: 9943
Epoch 9943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9943With loss 0.1267430099331721
epoch: 9944
Epoch 9944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9944With loss 0.1267430099331721
epoch: 9945
Epoch 9945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9945With loss 0.1267430099331721
epoch: 9946
Epoch 9946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9946With loss 0.1267430099331721
epoch: 9947
Epoch 9947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9947With loss 0.1267430099331721
epoch: 9948
Epoch 9948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9948With loss 0.1267430099331721
epoch: 9949
Epoch 9949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9949With loss 0.1267430099331721
epoch: 9950
Epoch 9950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9950With loss 0.1267430099331721
epoch: 9951
Epoch 9951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9951With loss 0.1267430099331721
epoch: 9952
Epoch 9952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9952With loss 0.1267430099331721
epoch: 9953
Epoch 9953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9953With loss 0.1267430099331721
epoch: 9954
Epoch 9954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9954With loss 0.1267430099331721
epoch: 9955
Epoch 9955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9955With loss 0.1267430099331721
epoch: 9956
Epoch 9956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9956With loss 0.1267430099331721
epoch: 9957
Epoch 9957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9957With loss 0.1267430099331721
epoch: 9958
Epoch 9958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9958With loss 0.1267430099331721
epoch: 9959
Epoch 9959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9959With loss 0.1267430099331721
epoch: 9960
Epoch 9960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9960With loss 0.1267430099331721
epoch: 9961
Epoch 9961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9961With loss 0.1267430099331721
epoch: 9962
Epoch 9962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9962With loss 0.1267430099331721
epoch: 9963
Epoch 9963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9963With loss 0.1267430099331721
epoch: 9964
Epoch 9964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9964With loss 0.1267430099331721
epoch: 9965
Epoch 9965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9965With loss 0.1267430099331721
epoch: 9966
Epoch 9966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9966With loss 0.1267430099331721
epoch: 9967
Epoch 9967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9967With loss 0.1267430099331721
epoch: 9968
Epoch 9968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9968With loss 0.1267430099331721
epoch: 9969
Epoch 9969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9969With loss 0.1267430099331721
epoch: 9970
Epoch 9970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9970With loss 0.1267430099331721
epoch: 9971
Epoch 9971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9971With loss 0.1267430099331721
epoch: 9972
Epoch 9972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9972With loss 0.1267430099331721
epoch: 9973
Epoch 9973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9973With loss 0.1267430099331721
epoch: 9974
Epoch 9974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9974With loss 0.1267430099331721
epoch: 9975
Epoch 9975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9975With loss 0.1267430099331721
epoch: 9976
Epoch 9976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9976With loss 0.1267430099331721
epoch: 9977
Epoch 9977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9977With loss 0.1267430099331721
epoch: 9978
Epoch 9978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9978With loss 0.1267430099331721
epoch: 9979
Epoch 9979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9979With loss 0.1267430099331721
epoch: 9980
Epoch 9980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9980With loss 0.1267430099331721
epoch: 9981
Epoch 9981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9981With loss 0.1267430099331721
epoch: 9982
Epoch 9982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9982With loss 0.1267430099331721
epoch: 9983
Epoch 9983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9983With loss 0.1267430099331721
epoch: 9984
Epoch 9984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9984With loss 0.1267430099331721
epoch: 9985
Epoch 9985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9985With loss 0.1267430099331721
epoch: 9986
Epoch 9986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9986With loss 0.1267430099331721
epoch: 9987
Epoch 9987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9987With loss 0.1267430099331721
epoch: 9988
Epoch 9988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9988With loss 0.1267430099331721
epoch: 9989
Epoch 9989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9989With loss 0.1267430099331721
epoch: 9990
Epoch 9990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9990With loss 0.1267430099331721
epoch: 9991
Epoch 9991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9991With loss 0.1267430099331721
epoch: 9992
Epoch 9992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9992With loss 0.1267430099331721
epoch: 9993
Epoch 9993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9993With loss 0.1267430099331721
epoch: 9994
Epoch 9994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9994With loss 0.1267430099331721
epoch: 9995
Epoch 9995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9995With loss 0.1267430099331721
epoch: 9996
Epoch 9996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9996With loss 0.1267430099331721
epoch: 9997
Epoch 9997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9997With loss 0.1267430099331721
epoch: 9998
Epoch 9998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9998With loss 0.1267430099331721
epoch: 9999
Epoch 9999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 9999With loss 0.1267430099331721
epoch: 10000
Epoch 10000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10000With loss 0.1267430099331721
epoch: 10001
Epoch 10001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10001With loss 0.1267430099331721
epoch: 10002
Epoch 10002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10002With loss 0.1267430099331721
epoch: 10003
Epoch 10003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10003With loss 0.1267430099331721
epoch: 10004
Epoch 10004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10004With loss 0.1267430099331721
epoch: 10005
Epoch 10005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10005With loss 0.1267430099331721
epoch: 10006
Epoch 10006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10006With loss 0.1267430099331721
epoch: 10007
Epoch 10007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10007With loss 0.1267430099331721
epoch: 10008
Epoch 10008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10008With loss 0.1267430099331721
epoch: 10009
Epoch 10009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10009With loss 0.1267430099331721
epoch: 10010
Epoch 10010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10010With loss 0.1267430099331721
epoch: 10011
Epoch 10011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10011With loss 0.1267430099331721
epoch: 10012
Epoch 10012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10012With loss 0.1267430099331721
epoch: 10013
Epoch 10013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10013With loss 0.1267430099331721
epoch: 10014
Epoch 10014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10014With loss 0.1267430099331721
epoch: 10015
Epoch 10015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10015With loss 0.1267430099331721
epoch: 10016
Epoch 10016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10016With loss 0.1267430099331721
epoch: 10017
Epoch 10017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10017With loss 0.1267430099331721
epoch: 10018
Epoch 10018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10018With loss 0.1267430099331721
epoch: 10019
Epoch 10019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10019With loss 0.1267430099331721
epoch: 10020
Epoch 10020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10020With loss 0.1267430099331721
epoch: 10021
Epoch 10021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10021With loss 0.1267430099331721
epoch: 10022
Epoch 10022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10022With loss 0.1267430099331721
epoch: 10023
Epoch 10023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10023With loss 0.1267430099331721
epoch: 10024
Epoch 10024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10024With loss 0.1267430099331721
epoch: 10025
Epoch 10025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10025With loss 0.1267430099331721
epoch: 10026
Epoch 10026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10026With loss 0.1267430099331721
epoch: 10027
Epoch 10027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10027With loss 0.1267430099331721
epoch: 10028
Epoch 10028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10028With loss 0.1267430099331721
epoch: 10029
Epoch 10029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10029With loss 0.1267430099331721
epoch: 10030
Epoch 10030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10030With loss 0.1267430099331721
epoch: 10031
Epoch 10031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10031With loss 0.1267430099331721
epoch: 10032
Epoch 10032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10032With loss 0.1267430099331721
epoch: 10033
Epoch 10033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10033With loss 0.1267430099331721
epoch: 10034
Epoch 10034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10034With loss 0.1267430099331721
epoch: 10035
Epoch 10035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10035With loss 0.1267430099331721
epoch: 10036
Epoch 10036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10036With loss 0.1267430099331721
epoch: 10037
Epoch 10037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10037With loss 0.1267430099331721
epoch: 10038
Epoch 10038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10038With loss 0.1267430099331721
epoch: 10039
Epoch 10039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10039With loss 0.1267430099331721
epoch: 10040
Epoch 10040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10040With loss 0.1267430099331721
epoch: 10041
Epoch 10041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10041With loss 0.1267430099331721
epoch: 10042
Epoch 10042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10042With loss 0.1267430099331721
epoch: 10043
Epoch 10043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10043With loss 0.1267430099331721
epoch: 10044
Epoch 10044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10044With loss 0.1267430099331721
epoch: 10045
Epoch 10045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10045With loss 0.1267430099331721
epoch: 10046
Epoch 10046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10046With loss 0.1267430099331721
epoch: 10047
Epoch 10047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10047With loss 0.1267430099331721
epoch: 10048
Epoch 10048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10048With loss 0.1267430099331721
epoch: 10049
Epoch 10049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10049With loss 0.1267430099331721
epoch: 10050
Epoch 10050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10050With loss 0.1267430099331721
epoch: 10051
Epoch 10051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10051With loss 0.1267430099331721
epoch: 10052
Epoch 10052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10052With loss 0.1267430099331721
epoch: 10053
Epoch 10053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10053With loss 0.1267430099331721
epoch: 10054
Epoch 10054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10054With loss 0.1267430099331721
epoch: 10055
Epoch 10055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10055With loss 0.1267430099331721
epoch: 10056
Epoch 10056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10056With loss 0.1267430099331721
epoch: 10057
Epoch 10057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10057With loss 0.1267430099331721
epoch: 10058
Epoch 10058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10058With loss 0.1267430099331721
epoch: 10059
Epoch 10059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10059With loss 0.1267430099331721
epoch: 10060
Epoch 10060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10060With loss 0.1267430099331721
epoch: 10061
Epoch 10061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10061With loss 0.1267430099331721
epoch: 10062
Epoch 10062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10062With loss 0.1267430099331721
epoch: 10063
Epoch 10063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10063With loss 0.1267430099331721
epoch: 10064
Epoch 10064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10064With loss 0.1267430099331721
epoch: 10065
Epoch 10065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10065With loss 0.1267430099331721
epoch: 10066
Epoch 10066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10066With loss 0.1267430099331721
epoch: 10067
Epoch 10067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10067With loss 0.1267430099331721
epoch: 10068
Epoch 10068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10068With loss 0.1267430099331721
epoch: 10069
Epoch 10069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10069With loss 0.1267430099331721
epoch: 10070
Epoch 10070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10070With loss 0.1267430099331721
epoch: 10071
Epoch 10071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10071With loss 0.1267430099331721
epoch: 10072
Epoch 10072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10072With loss 0.1267430099331721
epoch: 10073
Epoch 10073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10073With loss 0.1267430099331721
epoch: 10074
Epoch 10074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10074With loss 0.1267430099331721
epoch: 10075
Epoch 10075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10075With loss 0.1267430099331721
epoch: 10076
Epoch 10076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10076With loss 0.1267430099331721
epoch: 10077
Epoch 10077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10077With loss 0.1267430099331721
epoch: 10078
Epoch 10078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10078With loss 0.1267430099331721
epoch: 10079
Epoch 10079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10079With loss 0.1267430099331721
epoch: 10080
Epoch 10080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10080With loss 0.1267430099331721
epoch: 10081
Epoch 10081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10081With loss 0.1267430099331721
epoch: 10082
Epoch 10082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10082With loss 0.1267430099331721
epoch: 10083
Epoch 10083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10083With loss 0.1267430099331721
epoch: 10084
Epoch 10084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10084With loss 0.1267430099331721
epoch: 10085
Epoch 10085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10085With loss 0.1267430099331721
epoch: 10086
Epoch 10086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10086With loss 0.1267430099331721
epoch: 10087
Epoch 10087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10087With loss 0.1267430099331721
epoch: 10088
Epoch 10088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10088With loss 0.1267430099331721
epoch: 10089
Epoch 10089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10089With loss 0.1267430099331721
epoch: 10090
Epoch 10090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10090With loss 0.1267430099331721
epoch: 10091
Epoch 10091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10091With loss 0.1267430099331721
epoch: 10092
Epoch 10092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10092With loss 0.1267430099331721
epoch: 10093
Epoch 10093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10093With loss 0.1267430099331721
epoch: 10094
Epoch 10094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10094With loss 0.1267430099331721
epoch: 10095
Epoch 10095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10095With loss 0.1267430099331721
epoch: 10096
Epoch 10096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10096With loss 0.1267430099331721
epoch: 10097
Epoch 10097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10097With loss 0.1267430099331721
epoch: 10098
Epoch 10098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10098With loss 0.1267430099331721
epoch: 10099
Epoch 10099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10099With loss 0.1267430099331721
epoch: 10100
Epoch 10100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10100With loss 0.1267430099331721
epoch: 10101
Epoch 10101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10101With loss 0.1267430099331721
epoch: 10102
Epoch 10102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10102With loss 0.1267430099331721
epoch: 10103
Epoch 10103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10103With loss 0.1267430099331721
epoch: 10104
Epoch 10104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10104With loss 0.1267430099331721
epoch: 10105
Epoch 10105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10105With loss 0.1267430099331721
epoch: 10106
Epoch 10106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10106With loss 0.1267430099331721
epoch: 10107
Epoch 10107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10107With loss 0.1267430099331721
epoch: 10108
Epoch 10108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10108With loss 0.1267430099331721
epoch: 10109
Epoch 10109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10109With loss 0.1267430099331721
epoch: 10110
Epoch 10110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10110With loss 0.1267430099331721
epoch: 10111
Epoch 10111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10111With loss 0.1267430099331721
epoch: 10112
Epoch 10112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10112With loss 0.1267430099331721
epoch: 10113
Epoch 10113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10113With loss 0.1267430099331721
epoch: 10114
Epoch 10114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10114With loss 0.1267430099331721
epoch: 10115
Epoch 10115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10115With loss 0.1267430099331721
epoch: 10116
Epoch 10116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10116With loss 0.1267430099331721
epoch: 10117
Epoch 10117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10117With loss 0.1267430099331721
epoch: 10118
Epoch 10118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10118With loss 0.1267430099331721
epoch: 10119
Epoch 10119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10119With loss 0.1267430099331721
epoch: 10120
Epoch 10120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10120With loss 0.1267430099331721
epoch: 10121
Epoch 10121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10121With loss 0.1267430099331721
epoch: 10122
Epoch 10122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10122With loss 0.1267430099331721
epoch: 10123
Epoch 10123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10123With loss 0.1267430099331721
epoch: 10124
Epoch 10124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10124With loss 0.1267430099331721
epoch: 10125
Epoch 10125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10125With loss 0.1267430099331721
epoch: 10126
Epoch 10126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10126With loss 0.1267430099331721
epoch: 10127
Epoch 10127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10127With loss 0.1267430099331721
epoch: 10128
Epoch 10128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10128With loss 0.1267430099331721
epoch: 10129
Epoch 10129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10129With loss 0.1267430099331721
epoch: 10130
Epoch 10130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10130With loss 0.1267430099331721
epoch: 10131
Epoch 10131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10131With loss 0.1267430099331721
epoch: 10132
Epoch 10132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10132With loss 0.1267430099331721
epoch: 10133
Epoch 10133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10133With loss 0.1267430099331721
epoch: 10134
Epoch 10134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10134With loss 0.1267430099331721
epoch: 10135
Epoch 10135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10135With loss 0.1267430099331721
epoch: 10136
Epoch 10136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10136With loss 0.1267430099331721
epoch: 10137
Epoch 10137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10137With loss 0.1267430099331721
epoch: 10138
Epoch 10138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10138With loss 0.1267430099331721
epoch: 10139
Epoch 10139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10139With loss 0.1267430099331721
epoch: 10140
Epoch 10140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10140With loss 0.1267430099331721
epoch: 10141
Epoch 10141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10141With loss 0.1267430099331721
epoch: 10142
Epoch 10142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10142With loss 0.1267430099331721
epoch: 10143
Epoch 10143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10143With loss 0.1267430099331721
epoch: 10144
Epoch 10144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10144With loss 0.1267430099331721
epoch: 10145
Epoch 10145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10145With loss 0.1267430099331721
epoch: 10146
Epoch 10146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10146With loss 0.1267430099331721
epoch: 10147
Epoch 10147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10147With loss 0.1267430099331721
epoch: 10148
Epoch 10148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10148With loss 0.1267430099331721
epoch: 10149
Epoch 10149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10149With loss 0.1267430099331721
epoch: 10150
Epoch 10150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10150With loss 0.1267430099331721
epoch: 10151
Epoch 10151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10151With loss 0.1267430099331721
epoch: 10152
Epoch 10152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10152With loss 0.1267430099331721
epoch: 10153
Epoch 10153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10153With loss 0.1267430099331721
epoch: 10154
Epoch 10154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10154With loss 0.1267430099331721
epoch: 10155
Epoch 10155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10155With loss 0.1267430099331721
epoch: 10156
Epoch 10156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10156With loss 0.1267430099331721
epoch: 10157
Epoch 10157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10157With loss 0.1267430099331721
epoch: 10158
Epoch 10158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10158With loss 0.1267430099331721
epoch: 10159
Epoch 10159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10159With loss 0.1267430099331721
epoch: 10160
Epoch 10160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10160With loss 0.1267430099331721
epoch: 10161
Epoch 10161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10161With loss 0.1267430099331721
epoch: 10162
Epoch 10162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10162With loss 0.1267430099331721
epoch: 10163
Epoch 10163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10163With loss 0.1267430099331721
epoch: 10164
Epoch 10164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10164With loss 0.1267430099331721
epoch: 10165
Epoch 10165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10165With loss 0.1267430099331721
epoch: 10166
Epoch 10166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10166With loss 0.1267430099331721
epoch: 10167
Epoch 10167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10167With loss 0.1267430099331721
epoch: 10168
Epoch 10168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10168With loss 0.1267430099331721
epoch: 10169
Epoch 10169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10169With loss 0.1267430099331721
epoch: 10170
Epoch 10170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10170With loss 0.1267430099331721
epoch: 10171
Epoch 10171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10171With loss 0.1267430099331721
epoch: 10172
Epoch 10172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10172With loss 0.1267430099331721
epoch: 10173
Epoch 10173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10173With loss 0.1267430099331721
epoch: 10174
Epoch 10174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10174With loss 0.1267430099331721
epoch: 10175
Epoch 10175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10175With loss 0.1267430099331721
epoch: 10176
Epoch 10176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10176With loss 0.1267430099331721
epoch: 10177
Epoch 10177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10177With loss 0.1267430099331721
epoch: 10178
Epoch 10178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10178With loss 0.1267430099331721
epoch: 10179
Epoch 10179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10179With loss 0.1267430099331721
epoch: 10180
Epoch 10180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10180With loss 0.1267430099331721
epoch: 10181
Epoch 10181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10181With loss 0.1267430099331721
epoch: 10182
Epoch 10182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10182With loss 0.1267430099331721
epoch: 10183
Epoch 10183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10183With loss 0.1267430099331721
epoch: 10184
Epoch 10184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10184With loss 0.1267430099331721
epoch: 10185
Epoch 10185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10185With loss 0.1267430099331721
epoch: 10186
Epoch 10186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10186With loss 0.1267430099331721
epoch: 10187
Epoch 10187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10187With loss 0.1267430099331721
epoch: 10188
Epoch 10188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10188With loss 0.1267430099331721
epoch: 10189
Epoch 10189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10189With loss 0.1267430099331721
epoch: 10190
Epoch 10190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10190With loss 0.1267430099331721
epoch: 10191
Epoch 10191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10191With loss 0.1267430099331721
epoch: 10192
Epoch 10192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10192With loss 0.1267430099331721
epoch: 10193
Epoch 10193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10193With loss 0.1267430099331721
epoch: 10194
Epoch 10194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10194With loss 0.1267430099331721
epoch: 10195
Epoch 10195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10195With loss 0.1267430099331721
epoch: 10196
Epoch 10196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10196With loss 0.1267430099331721
epoch: 10197
Epoch 10197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10197With loss 0.1267430099331721
epoch: 10198
Epoch 10198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10198With loss 0.1267430099331721
epoch: 10199
Epoch 10199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10199With loss 0.1267430099331721
epoch: 10200
Epoch 10200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10200With loss 0.1267430099331721
epoch: 10201
Epoch 10201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10201With loss 0.1267430099331721
epoch: 10202
Epoch 10202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10202With loss 0.1267430099331721
epoch: 10203
Epoch 10203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10203With loss 0.1267430099331721
epoch: 10204
Epoch 10204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10204With loss 0.1267430099331721
epoch: 10205
Epoch 10205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10205With loss 0.1267430099331721
epoch: 10206
Epoch 10206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10206With loss 0.1267430099331721
epoch: 10207
Epoch 10207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10207With loss 0.1267430099331721
epoch: 10208
Epoch 10208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10208With loss 0.1267430099331721
epoch: 10209
Epoch 10209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10209With loss 0.1267430099331721
epoch: 10210
Epoch 10210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10210With loss 0.1267430099331721
epoch: 10211
Epoch 10211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10211With loss 0.1267430099331721
epoch: 10212
Epoch 10212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10212With loss 0.1267430099331721
epoch: 10213
Epoch 10213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10213With loss 0.1267430099331721
epoch: 10214
Epoch 10214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10214With loss 0.1267430099331721
epoch: 10215
Epoch 10215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10215With loss 0.1267430099331721
epoch: 10216
Epoch 10216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10216With loss 0.1267430099331721
epoch: 10217
Epoch 10217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10217With loss 0.1267430099331721
epoch: 10218
Epoch 10218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10218With loss 0.1267430099331721
epoch: 10219
Epoch 10219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10219With loss 0.1267430099331721
epoch: 10220
Epoch 10220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10220With loss 0.1267430099331721
epoch: 10221
Epoch 10221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10221With loss 0.1267430099331721
epoch: 10222
Epoch 10222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10222With loss 0.1267430099331721
epoch: 10223
Epoch 10223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10223With loss 0.1267430099331721
epoch: 10224
Epoch 10224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10224With loss 0.1267430099331721
epoch: 10225
Epoch 10225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10225With loss 0.1267430099331721
epoch: 10226
Epoch 10226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10226With loss 0.1267430099331721
epoch: 10227
Epoch 10227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10227With loss 0.1267430099331721
epoch: 10228
Epoch 10228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10228With loss 0.1267430099331721
epoch: 10229
Epoch 10229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10229With loss 0.1267430099331721
epoch: 10230
Epoch 10230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10230With loss 0.1267430099331721
epoch: 10231
Epoch 10231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10231With loss 0.1267430099331721
epoch: 10232
Epoch 10232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10232With loss 0.1267430099331721
epoch: 10233
Epoch 10233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10233With loss 0.1267430099331721
epoch: 10234
Epoch 10234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10234With loss 0.1267430099331721
epoch: 10235
Epoch 10235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10235With loss 0.1267430099331721
epoch: 10236
Epoch 10236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10236With loss 0.1267430099331721
epoch: 10237
Epoch 10237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10237With loss 0.1267430099331721
epoch: 10238
Epoch 10238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10238With loss 0.1267430099331721
epoch: 10239
Epoch 10239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10239With loss 0.1267430099331721
epoch: 10240
Epoch 10240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10240With loss 0.1267430099331721
epoch: 10241
Epoch 10241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10241With loss 0.1267430099331721
epoch: 10242
Epoch 10242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10242With loss 0.1267430099331721
epoch: 10243
Epoch 10243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10243With loss 0.1267430099331721
epoch: 10244
Epoch 10244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10244With loss 0.1267430099331721
epoch: 10245
Epoch 10245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10245With loss 0.1267430099331721
epoch: 10246
Epoch 10246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10246With loss 0.1267430099331721
epoch: 10247
Epoch 10247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10247With loss 0.1267430099331721
epoch: 10248
Epoch 10248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10248With loss 0.1267430099331721
epoch: 10249
Epoch 10249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10249With loss 0.1267430099331721
epoch: 10250
Epoch 10250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10250With loss 0.1267430099331721
epoch: 10251
Epoch 10251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10251With loss 0.1267430099331721
epoch: 10252
Epoch 10252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10252With loss 0.1267430099331721
epoch: 10253
Epoch 10253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10253With loss 0.1267430099331721
epoch: 10254
Epoch 10254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10254With loss 0.1267430099331721
epoch: 10255
Epoch 10255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10255With loss 0.1267430099331721
epoch: 10256
Epoch 10256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10256With loss 0.1267430099331721
epoch: 10257
Epoch 10257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10257With loss 0.1267430099331721
epoch: 10258
Epoch 10258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10258With loss 0.1267430099331721
epoch: 10259
Epoch 10259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10259With loss 0.1267430099331721
epoch: 10260
Epoch 10260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10260With loss 0.1267430099331721
epoch: 10261
Epoch 10261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10261With loss 0.1267430099331721
epoch: 10262
Epoch 10262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10262With loss 0.1267430099331721
epoch: 10263
Epoch 10263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10263With loss 0.1267430099331721
epoch: 10264
Epoch 10264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10264With loss 0.1267430099331721
epoch: 10265
Epoch 10265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10265With loss 0.1267430099331721
epoch: 10266
Epoch 10266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10266With loss 0.1267430099331721
epoch: 10267
Epoch 10267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10267With loss 0.1267430099331721
epoch: 10268
Epoch 10268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10268With loss 0.1267430099331721
epoch: 10269
Epoch 10269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10269With loss 0.1267430099331721
epoch: 10270
Epoch 10270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10270With loss 0.1267430099331721
epoch: 10271
Epoch 10271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10271With loss 0.1267430099331721
epoch: 10272
Epoch 10272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10272With loss 0.1267430099331721
epoch: 10273
Epoch 10273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10273With loss 0.1267430099331721
epoch: 10274
Epoch 10274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10274With loss 0.1267430099331721
epoch: 10275
Epoch 10275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10275With loss 0.1267430099331721
epoch: 10276
Epoch 10276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10276With loss 0.1267430099331721
epoch: 10277
Epoch 10277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10277With loss 0.1267430099331721
epoch: 10278
Epoch 10278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10278With loss 0.1267430099331721
epoch: 10279
Epoch 10279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10279With loss 0.1267430099331721
epoch: 10280
Epoch 10280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10280With loss 0.1267430099331721
epoch: 10281
Epoch 10281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10281With loss 0.1267430099331721
epoch: 10282
Epoch 10282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10282With loss 0.1267430099331721
epoch: 10283
Epoch 10283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10283With loss 0.1267430099331721
epoch: 10284
Epoch 10284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10284With loss 0.1267430099331721
epoch: 10285
Epoch 10285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10285With loss 0.1267430099331721
epoch: 10286
Epoch 10286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10286With loss 0.1267430099331721
epoch: 10287
Epoch 10287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10287With loss 0.1267430099331721
epoch: 10288
Epoch 10288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10288With loss 0.1267430099331721
epoch: 10289
Epoch 10289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10289With loss 0.1267430099331721
epoch: 10290
Epoch 10290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10290With loss 0.1267430099331721
epoch: 10291
Epoch 10291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10291With loss 0.1267430099331721
epoch: 10292
Epoch 10292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10292With loss 0.1267430099331721
epoch: 10293
Epoch 10293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10293With loss 0.1267430099331721
epoch: 10294
Epoch 10294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10294With loss 0.1267430099331721
epoch: 10295
Epoch 10295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10295With loss 0.1267430099331721
epoch: 10296
Epoch 10296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10296With loss 0.1267430099331721
epoch: 10297
Epoch 10297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10297With loss 0.1267430099331721
epoch: 10298
Epoch 10298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10298With loss 0.1267430099331721
epoch: 10299
Epoch 10299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10299With loss 0.1267430099331721
epoch: 10300
Epoch 10300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10300With loss 0.1267430099331721
epoch: 10301
Epoch 10301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10301With loss 0.1267430099331721
epoch: 10302
Epoch 10302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10302With loss 0.1267430099331721
epoch: 10303
Epoch 10303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10303With loss 0.1267430099331721
epoch: 10304
Epoch 10304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10304With loss 0.1267430099331721
epoch: 10305
Epoch 10305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10305With loss 0.1267430099331721
epoch: 10306
Epoch 10306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10306With loss 0.1267430099331721
epoch: 10307
Epoch 10307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10307With loss 0.1267430099331721
epoch: 10308
Epoch 10308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10308With loss 0.1267430099331721
epoch: 10309
Epoch 10309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10309With loss 0.1267430099331721
epoch: 10310
Epoch 10310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10310With loss 0.1267430099331721
epoch: 10311
Epoch 10311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10311With loss 0.1267430099331721
epoch: 10312
Epoch 10312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10312With loss 0.1267430099331721
epoch: 10313
Epoch 10313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10313With loss 0.1267430099331721
epoch: 10314
Epoch 10314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10314With loss 0.1267430099331721
epoch: 10315
Epoch 10315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10315With loss 0.1267430099331721
epoch: 10316
Epoch 10316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10316With loss 0.1267430099331721
epoch: 10317
Epoch 10317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10317With loss 0.1267430099331721
epoch: 10318
Epoch 10318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10318With loss 0.1267430099331721
epoch: 10319
Epoch 10319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10319With loss 0.1267430099331721
epoch: 10320
Epoch 10320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10320With loss 0.1267430099331721
epoch: 10321
Epoch 10321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10321With loss 0.1267430099331721
epoch: 10322
Epoch 10322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10322With loss 0.1267430099331721
epoch: 10323
Epoch 10323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10323With loss 0.1267430099331721
epoch: 10324
Epoch 10324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10324With loss 0.1267430099331721
epoch: 10325
Epoch 10325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10325With loss 0.1267430099331721
epoch: 10326
Epoch 10326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10326With loss 0.1267430099331721
epoch: 10327
Epoch 10327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10327With loss 0.1267430099331721
epoch: 10328
Epoch 10328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10328With loss 0.1267430099331721
epoch: 10329
Epoch 10329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10329With loss 0.1267430099331721
epoch: 10330
Epoch 10330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10330With loss 0.1267430099331721
epoch: 10331
Epoch 10331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10331With loss 0.1267430099331721
epoch: 10332
Epoch 10332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10332With loss 0.1267430099331721
epoch: 10333
Epoch 10333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10333With loss 0.1267430099331721
epoch: 10334
Epoch 10334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10334With loss 0.1267430099331721
epoch: 10335
Epoch 10335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10335With loss 0.1267430099331721
epoch: 10336
Epoch 10336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10336With loss 0.1267430099331721
epoch: 10337
Epoch 10337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10337With loss 0.1267430099331721
epoch: 10338
Epoch 10338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10338With loss 0.1267430099331721
epoch: 10339
Epoch 10339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10339With loss 0.1267430099331721
epoch: 10340
Epoch 10340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10340With loss 0.1267430099331721
epoch: 10341
Epoch 10341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10341With loss 0.1267430099331721
epoch: 10342
Epoch 10342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10342With loss 0.1267430099331721
epoch: 10343
Epoch 10343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10343With loss 0.1267430099331721
epoch: 10344
Epoch 10344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10344With loss 0.1267430099331721
epoch: 10345
Epoch 10345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10345With loss 0.1267430099331721
epoch: 10346
Epoch 10346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10346With loss 0.1267430099331721
epoch: 10347
Epoch 10347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10347With loss 0.1267430099331721
epoch: 10348
Epoch 10348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10348With loss 0.1267430099331721
epoch: 10349
Epoch 10349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10349With loss 0.1267430099331721
epoch: 10350
Epoch 10350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10350With loss 0.1267430099331721
epoch: 10351
Epoch 10351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10351With loss 0.1267430099331721
epoch: 10352
Epoch 10352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10352With loss 0.1267430099331721
epoch: 10353
Epoch 10353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10353With loss 0.1267430099331721
epoch: 10354
Epoch 10354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10354With loss 0.1267430099331721
epoch: 10355
Epoch 10355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10355With loss 0.1267430099331721
epoch: 10356
Epoch 10356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10356With loss 0.1267430099331721
epoch: 10357
Epoch 10357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10357With loss 0.1267430099331721
epoch: 10358
Epoch 10358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10358With loss 0.1267430099331721
epoch: 10359
Epoch 10359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10359With loss 0.1267430099331721
epoch: 10360
Epoch 10360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10360With loss 0.1267430099331721
epoch: 10361
Epoch 10361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10361With loss 0.1267430099331721
epoch: 10362
Epoch 10362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10362With loss 0.1267430099331721
epoch: 10363
Epoch 10363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10363With loss 0.1267430099331721
epoch: 10364
Epoch 10364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10364With loss 0.1267430099331721
epoch: 10365
Epoch 10365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10365With loss 0.1267430099331721
epoch: 10366
Epoch 10366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10366With loss 0.1267430099331721
epoch: 10367
Epoch 10367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10367With loss 0.1267430099331721
epoch: 10368
Epoch 10368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10368With loss 0.1267430099331721
epoch: 10369
Epoch 10369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10369With loss 0.1267430099331721
epoch: 10370
Epoch 10370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10370With loss 0.1267430099331721
epoch: 10371
Epoch 10371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10371With loss 0.1267430099331721
epoch: 10372
Epoch 10372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10372With loss 0.1267430099331721
epoch: 10373
Epoch 10373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10373With loss 0.1267430099331721
epoch: 10374
Epoch 10374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10374With loss 0.1267430099331721
epoch: 10375
Epoch 10375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10375With loss 0.1267430099331721
epoch: 10376
Epoch 10376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10376With loss 0.1267430099331721
epoch: 10377
Epoch 10377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10377With loss 0.1267430099331721
epoch: 10378
Epoch 10378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10378With loss 0.1267430099331721
epoch: 10379
Epoch 10379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10379With loss 0.1267430099331721
epoch: 10380
Epoch 10380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10380With loss 0.1267430099331721
epoch: 10381
Epoch 10381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10381With loss 0.1267430099331721
epoch: 10382
Epoch 10382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10382With loss 0.1267430099331721
epoch: 10383
Epoch 10383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10383With loss 0.1267430099331721
epoch: 10384
Epoch 10384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10384With loss 0.1267430099331721
epoch: 10385
Epoch 10385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10385With loss 0.1267430099331721
epoch: 10386
Epoch 10386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10386With loss 0.1267430099331721
epoch: 10387
Epoch 10387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10387With loss 0.1267430099331721
epoch: 10388
Epoch 10388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10388With loss 0.1267430099331721
epoch: 10389
Epoch 10389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10389With loss 0.1267430099331721
epoch: 10390
Epoch 10390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10390With loss 0.1267430099331721
epoch: 10391
Epoch 10391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10391With loss 0.1267430099331721
epoch: 10392
Epoch 10392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10392With loss 0.1267430099331721
epoch: 10393
Epoch 10393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10393With loss 0.1267430099331721
epoch: 10394
Epoch 10394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10394With loss 0.1267430099331721
epoch: 10395
Epoch 10395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10395With loss 0.1267430099331721
epoch: 10396
Epoch 10396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10396With loss 0.1267430099331721
epoch: 10397
Epoch 10397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10397With loss 0.1267430099331721
epoch: 10398
Epoch 10398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10398With loss 0.1267430099331721
epoch: 10399
Epoch 10399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10399With loss 0.1267430099331721
epoch: 10400
Epoch 10400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10400With loss 0.1267430099331721
epoch: 10401
Epoch 10401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10401With loss 0.1267430099331721
epoch: 10402
Epoch 10402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10402With loss 0.1267430099331721
epoch: 10403
Epoch 10403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10403With loss 0.1267430099331721
epoch: 10404
Epoch 10404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10404With loss 0.1267430099331721
epoch: 10405
Epoch 10405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10405With loss 0.1267430099331721
epoch: 10406
Epoch 10406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10406With loss 0.1267430099331721
epoch: 10407
Epoch 10407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10407With loss 0.1267430099331721
epoch: 10408
Epoch 10408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10408With loss 0.1267430099331721
epoch: 10409
Epoch 10409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10409With loss 0.1267430099331721
epoch: 10410
Epoch 10410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10410With loss 0.1267430099331721
epoch: 10411
Epoch 10411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10411With loss 0.1267430099331721
epoch: 10412
Epoch 10412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10412With loss 0.1267430099331721
epoch: 10413
Epoch 10413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10413With loss 0.1267430099331721
epoch: 10414
Epoch 10414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10414With loss 0.1267430099331721
epoch: 10415
Epoch 10415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10415With loss 0.1267430099331721
epoch: 10416
Epoch 10416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10416With loss 0.1267430099331721
epoch: 10417
Epoch 10417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10417With loss 0.1267430099331721
epoch: 10418
Epoch 10418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10418With loss 0.1267430099331721
epoch: 10419
Epoch 10419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10419With loss 0.1267430099331721
epoch: 10420
Epoch 10420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10420With loss 0.1267430099331721
epoch: 10421
Epoch 10421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10421With loss 0.1267430099331721
epoch: 10422
Epoch 10422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10422With loss 0.1267430099331721
epoch: 10423
Epoch 10423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10423With loss 0.1267430099331721
epoch: 10424
Epoch 10424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10424With loss 0.1267430099331721
epoch: 10425
Epoch 10425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10425With loss 0.1267430099331721
epoch: 10426
Epoch 10426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10426With loss 0.1267430099331721
epoch: 10427
Epoch 10427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10427With loss 0.1267430099331721
epoch: 10428
Epoch 10428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10428With loss 0.1267430099331721
epoch: 10429
Epoch 10429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10429With loss 0.1267430099331721
epoch: 10430
Epoch 10430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10430With loss 0.1267430099331721
epoch: 10431
Epoch 10431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10431With loss 0.1267430099331721
epoch: 10432
Epoch 10432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10432With loss 0.1267430099331721
epoch: 10433
Epoch 10433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10433With loss 0.1267430099331721
epoch: 10434
Epoch 10434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10434With loss 0.1267430099331721
epoch: 10435
Epoch 10435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10435With loss 0.1267430099331721
epoch: 10436
Epoch 10436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10436With loss 0.1267430099331721
epoch: 10437
Epoch 10437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10437With loss 0.1267430099331721
epoch: 10438
Epoch 10438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10438With loss 0.1267430099331721
epoch: 10439
Epoch 10439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10439With loss 0.1267430099331721
epoch: 10440
Epoch 10440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10440With loss 0.1267430099331721
epoch: 10441
Epoch 10441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10441With loss 0.1267430099331721
epoch: 10442
Epoch 10442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10442With loss 0.1267430099331721
epoch: 10443
Epoch 10443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10443With loss 0.1267430099331721
epoch: 10444
Epoch 10444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10444With loss 0.1267430099331721
epoch: 10445
Epoch 10445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10445With loss 0.1267430099331721
epoch: 10446
Epoch 10446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10446With loss 0.1267430099331721
epoch: 10447
Epoch 10447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10447With loss 0.1267430099331721
epoch: 10448
Epoch 10448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10448With loss 0.1267430099331721
epoch: 10449
Epoch 10449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10449With loss 0.1267430099331721
epoch: 10450
Epoch 10450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10450With loss 0.1267430099331721
epoch: 10451
Epoch 10451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10451With loss 0.1267430099331721
epoch: 10452
Epoch 10452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10452With loss 0.1267430099331721
epoch: 10453
Epoch 10453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10453With loss 0.1267430099331721
epoch: 10454
Epoch 10454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10454With loss 0.1267430099331721
epoch: 10455
Epoch 10455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10455With loss 0.1267430099331721
epoch: 10456
Epoch 10456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10456With loss 0.1267430099331721
epoch: 10457
Epoch 10457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10457With loss 0.1267430099331721
epoch: 10458
Epoch 10458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10458With loss 0.1267430099331721
epoch: 10459
Epoch 10459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10459With loss 0.1267430099331721
epoch: 10460
Epoch 10460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10460With loss 0.1267430099331721
epoch: 10461
Epoch 10461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10461With loss 0.1267430099331721
epoch: 10462
Epoch 10462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10462With loss 0.1267430099331721
epoch: 10463
Epoch 10463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10463With loss 0.1267430099331721
epoch: 10464
Epoch 10464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10464With loss 0.1267430099331721
epoch: 10465
Epoch 10465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10465With loss 0.1267430099331721
epoch: 10466
Epoch 10466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10466With loss 0.1267430099331721
epoch: 10467
Epoch 10467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10467With loss 0.1267430099331721
epoch: 10468
Epoch 10468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10468With loss 0.1267430099331721
epoch: 10469
Epoch 10469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10469With loss 0.1267430099331721
epoch: 10470
Epoch 10470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10470With loss 0.1267430099331721
epoch: 10471
Epoch 10471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10471With loss 0.1267430099331721
epoch: 10472
Epoch 10472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10472With loss 0.1267430099331721
epoch: 10473
Epoch 10473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10473With loss 0.1267430099331721
epoch: 10474
Epoch 10474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10474With loss 0.1267430099331721
epoch: 10475
Epoch 10475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10475With loss 0.1267430099331721
epoch: 10476
Epoch 10476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10476With loss 0.1267430099331721
epoch: 10477
Epoch 10477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10477With loss 0.1267430099331721
epoch: 10478
Epoch 10478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10478With loss 0.1267430099331721
epoch: 10479
Epoch 10479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10479With loss 0.1267430099331721
epoch: 10480
Epoch 10480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10480With loss 0.1267430099331721
epoch: 10481
Epoch 10481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10481With loss 0.1267430099331721
epoch: 10482
Epoch 10482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10482With loss 0.1267430099331721
epoch: 10483
Epoch 10483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10483With loss 0.1267430099331721
epoch: 10484
Epoch 10484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10484With loss 0.1267430099331721
epoch: 10485
Epoch 10485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10485With loss 0.1267430099331721
epoch: 10486
Epoch 10486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10486With loss 0.1267430099331721
epoch: 10487
Epoch 10487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10487With loss 0.1267430099331721
epoch: 10488
Epoch 10488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10488With loss 0.1267430099331721
epoch: 10489
Epoch 10489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10489With loss 0.1267430099331721
epoch: 10490
Epoch 10490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10490With loss 0.1267430099331721
epoch: 10491
Epoch 10491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10491With loss 0.1267430099331721
epoch: 10492
Epoch 10492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10492With loss 0.1267430099331721
epoch: 10493
Epoch 10493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10493With loss 0.1267430099331721
epoch: 10494
Epoch 10494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10494With loss 0.1267430099331721
epoch: 10495
Epoch 10495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10495With loss 0.1267430099331721
epoch: 10496
Epoch 10496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10496With loss 0.1267430099331721
epoch: 10497
Epoch 10497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10497With loss 0.1267430099331721
epoch: 10498
Epoch 10498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10498With loss 0.1267430099331721
epoch: 10499
Epoch 10499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10499With loss 0.1267430099331721
epoch: 10500
Epoch 10500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10500With loss 0.1267430099331721
epoch: 10501
Epoch 10501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10501With loss 0.1267430099331721
epoch: 10502
Epoch 10502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10502With loss 0.1267430099331721
epoch: 10503
Epoch 10503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10503With loss 0.1267430099331721
epoch: 10504
Epoch 10504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10504With loss 0.1267430099331721
epoch: 10505
Epoch 10505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10505With loss 0.1267430099331721
epoch: 10506
Epoch 10506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10506With loss 0.1267430099331721
epoch: 10507
Epoch 10507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10507With loss 0.1267430099331721
epoch: 10508
Epoch 10508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10508With loss 0.1267430099331721
epoch: 10509
Epoch 10509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10509With loss 0.1267430099331721
epoch: 10510
Epoch 10510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10510With loss 0.1267430099331721
epoch: 10511
Epoch 10511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10511With loss 0.1267430099331721
epoch: 10512
Epoch 10512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10512With loss 0.1267430099331721
epoch: 10513
Epoch 10513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10513With loss 0.1267430099331721
epoch: 10514
Epoch 10514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10514With loss 0.1267430099331721
epoch: 10515
Epoch 10515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10515With loss 0.1267430099331721
epoch: 10516
Epoch 10516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10516With loss 0.1267430099331721
epoch: 10517
Epoch 10517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10517With loss 0.1267430099331721
epoch: 10518
Epoch 10518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10518With loss 0.1267430099331721
epoch: 10519
Epoch 10519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10519With loss 0.1267430099331721
epoch: 10520
Epoch 10520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10520With loss 0.1267430099331721
epoch: 10521
Epoch 10521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10521With loss 0.1267430099331721
epoch: 10522
Epoch 10522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10522With loss 0.1267430099331721
epoch: 10523
Epoch 10523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10523With loss 0.1267430099331721
epoch: 10524
Epoch 10524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10524With loss 0.1267430099331721
epoch: 10525
Epoch 10525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10525With loss 0.1267430099331721
epoch: 10526
Epoch 10526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10526With loss 0.1267430099331721
epoch: 10527
Epoch 10527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10527With loss 0.1267430099331721
epoch: 10528
Epoch 10528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10528With loss 0.1267430099331721
epoch: 10529
Epoch 10529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10529With loss 0.1267430099331721
epoch: 10530
Epoch 10530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10530With loss 0.1267430099331721
epoch: 10531
Epoch 10531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10531With loss 0.1267430099331721
epoch: 10532
Epoch 10532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10532With loss 0.1267430099331721
epoch: 10533
Epoch 10533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10533With loss 0.1267430099331721
epoch: 10534
Epoch 10534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10534With loss 0.1267430099331721
epoch: 10535
Epoch 10535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10535With loss 0.1267430099331721
epoch: 10536
Epoch 10536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10536With loss 0.1267430099331721
epoch: 10537
Epoch 10537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10537With loss 0.1267430099331721
epoch: 10538
Epoch 10538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10538With loss 0.1267430099331721
epoch: 10539
Epoch 10539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10539With loss 0.1267430099331721
epoch: 10540
Epoch 10540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10540With loss 0.1267430099331721
epoch: 10541
Epoch 10541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10541With loss 0.1267430099331721
epoch: 10542
Epoch 10542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10542With loss 0.1267430099331721
epoch: 10543
Epoch 10543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10543With loss 0.1267430099331721
epoch: 10544
Epoch 10544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10544With loss 0.1267430099331721
epoch: 10545
Epoch 10545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10545With loss 0.1267430099331721
epoch: 10546
Epoch 10546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10546With loss 0.1267430099331721
epoch: 10547
Epoch 10547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10547With loss 0.1267430099331721
epoch: 10548
Epoch 10548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10548With loss 0.1267430099331721
epoch: 10549
Epoch 10549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10549With loss 0.1267430099331721
epoch: 10550
Epoch 10550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10550With loss 0.1267430099331721
epoch: 10551
Epoch 10551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10551With loss 0.1267430099331721
epoch: 10552
Epoch 10552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10552With loss 0.1267430099331721
epoch: 10553
Epoch 10553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10553With loss 0.1267430099331721
epoch: 10554
Epoch 10554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10554With loss 0.1267430099331721
epoch: 10555
Epoch 10555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10555With loss 0.1267430099331721
epoch: 10556
Epoch 10556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10556With loss 0.1267430099331721
epoch: 10557
Epoch 10557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10557With loss 0.1267430099331721
epoch: 10558
Epoch 10558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10558With loss 0.1267430099331721
epoch: 10559
Epoch 10559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10559With loss 0.1267430099331721
epoch: 10560
Epoch 10560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10560With loss 0.1267430099331721
epoch: 10561
Epoch 10561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10561With loss 0.1267430099331721
epoch: 10562
Epoch 10562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10562With loss 0.1267430099331721
epoch: 10563
Epoch 10563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10563With loss 0.1267430099331721
epoch: 10564
Epoch 10564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10564With loss 0.1267430099331721
epoch: 10565
Epoch 10565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10565With loss 0.1267430099331721
epoch: 10566
Epoch 10566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10566With loss 0.1267430099331721
epoch: 10567
Epoch 10567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10567With loss 0.1267430099331721
epoch: 10568
Epoch 10568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10568With loss 0.1267430099331721
epoch: 10569
Epoch 10569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10569With loss 0.1267430099331721
epoch: 10570
Epoch 10570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10570With loss 0.1267430099331721
epoch: 10571
Epoch 10571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10571With loss 0.1267430099331721
epoch: 10572
Epoch 10572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10572With loss 0.1267430099331721
epoch: 10573
Epoch 10573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10573With loss 0.1267430099331721
epoch: 10574
Epoch 10574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10574With loss 0.1267430099331721
epoch: 10575
Epoch 10575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10575With loss 0.1267430099331721
epoch: 10576
Epoch 10576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10576With loss 0.1267430099331721
epoch: 10577
Epoch 10577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10577With loss 0.1267430099331721
epoch: 10578
Epoch 10578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10578With loss 0.1267430099331721
epoch: 10579
Epoch 10579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10579With loss 0.1267430099331721
epoch: 10580
Epoch 10580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10580With loss 0.1267430099331721
epoch: 10581
Epoch 10581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10581With loss 0.1267430099331721
epoch: 10582
Epoch 10582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10582With loss 0.1267430099331721
epoch: 10583
Epoch 10583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10583With loss 0.1267430099331721
epoch: 10584
Epoch 10584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10584With loss 0.1267430099331721
epoch: 10585
Epoch 10585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10585With loss 0.1267430099331721
epoch: 10586
Epoch 10586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10586With loss 0.1267430099331721
epoch: 10587
Epoch 10587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10587With loss 0.1267430099331721
epoch: 10588
Epoch 10588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10588With loss 0.1267430099331721
epoch: 10589
Epoch 10589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10589With loss 0.1267430099331721
epoch: 10590
Epoch 10590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10590With loss 0.1267430099331721
epoch: 10591
Epoch 10591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10591With loss 0.1267430099331721
epoch: 10592
Epoch 10592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10592With loss 0.1267430099331721
epoch: 10593
Epoch 10593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10593With loss 0.1267430099331721
epoch: 10594
Epoch 10594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10594With loss 0.1267430099331721
epoch: 10595
Epoch 10595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10595With loss 0.1267430099331721
epoch: 10596
Epoch 10596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10596With loss 0.1267430099331721
epoch: 10597
Epoch 10597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10597With loss 0.1267430099331721
epoch: 10598
Epoch 10598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10598With loss 0.1267430099331721
epoch: 10599
Epoch 10599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10599With loss 0.1267430099331721
epoch: 10600
Epoch 10600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10600With loss 0.1267430099331721
epoch: 10601
Epoch 10601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10601With loss 0.1267430099331721
epoch: 10602
Epoch 10602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10602With loss 0.1267430099331721
epoch: 10603
Epoch 10603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10603With loss 0.1267430099331721
epoch: 10604
Epoch 10604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10604With loss 0.1267430099331721
epoch: 10605
Epoch 10605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10605With loss 0.1267430099331721
epoch: 10606
Epoch 10606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10606With loss 0.1267430099331721
epoch: 10607
Epoch 10607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10607With loss 0.1267430099331721
epoch: 10608
Epoch 10608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10608With loss 0.1267430099331721
epoch: 10609
Epoch 10609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10609With loss 0.1267430099331721
epoch: 10610
Epoch 10610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10610With loss 0.1267430099331721
epoch: 10611
Epoch 10611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10611With loss 0.1267430099331721
epoch: 10612
Epoch 10612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10612With loss 0.1267430099331721
epoch: 10613
Epoch 10613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10613With loss 0.1267430099331721
epoch: 10614
Epoch 10614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10614With loss 0.1267430099331721
epoch: 10615
Epoch 10615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10615With loss 0.1267430099331721
epoch: 10616
Epoch 10616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10616With loss 0.1267430099331721
epoch: 10617
Epoch 10617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10617With loss 0.1267430099331721
epoch: 10618
Epoch 10618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10618With loss 0.1267430099331721
epoch: 10619
Epoch 10619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10619With loss 0.1267430099331721
epoch: 10620
Epoch 10620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10620With loss 0.1267430099331721
epoch: 10621
Epoch 10621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10621With loss 0.1267430099331721
epoch: 10622
Epoch 10622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10622With loss 0.1267430099331721
epoch: 10623
Epoch 10623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10623With loss 0.1267430099331721
epoch: 10624
Epoch 10624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10624With loss 0.1267430099331721
epoch: 10625
Epoch 10625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10625With loss 0.1267430099331721
epoch: 10626
Epoch 10626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10626With loss 0.1267430099331721
epoch: 10627
Epoch 10627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10627With loss 0.1267430099331721
epoch: 10628
Epoch 10628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10628With loss 0.1267430099331721
epoch: 10629
Epoch 10629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10629With loss 0.1267430099331721
epoch: 10630
Epoch 10630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10630With loss 0.1267430099331721
epoch: 10631
Epoch 10631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10631With loss 0.1267430099331721
epoch: 10632
Epoch 10632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10632With loss 0.1267430099331721
epoch: 10633
Epoch 10633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10633With loss 0.1267430099331721
epoch: 10634
Epoch 10634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10634With loss 0.1267430099331721
epoch: 10635
Epoch 10635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10635With loss 0.1267430099331721
epoch: 10636
Epoch 10636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10636With loss 0.1267430099331721
epoch: 10637
Epoch 10637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10637With loss 0.1267430099331721
epoch: 10638
Epoch 10638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10638With loss 0.1267430099331721
epoch: 10639
Epoch 10639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10639With loss 0.1267430099331721
epoch: 10640
Epoch 10640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10640With loss 0.1267430099331721
epoch: 10641
Epoch 10641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10641With loss 0.1267430099331721
epoch: 10642
Epoch 10642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10642With loss 0.1267430099331721
epoch: 10643
Epoch 10643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10643With loss 0.1267430099331721
epoch: 10644
Epoch 10644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10644With loss 0.1267430099331721
epoch: 10645
Epoch 10645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10645With loss 0.1267430099331721
epoch: 10646
Epoch 10646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10646With loss 0.1267430099331721
epoch: 10647
Epoch 10647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10647With loss 0.1267430099331721
epoch: 10648
Epoch 10648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10648With loss 0.1267430099331721
epoch: 10649
Epoch 10649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10649With loss 0.1267430099331721
epoch: 10650
Epoch 10650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10650With loss 0.1267430099331721
epoch: 10651
Epoch 10651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10651With loss 0.1267430099331721
epoch: 10652
Epoch 10652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10652With loss 0.1267430099331721
epoch: 10653
Epoch 10653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10653With loss 0.1267430099331721
epoch: 10654
Epoch 10654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10654With loss 0.1267430099331721
epoch: 10655
Epoch 10655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10655With loss 0.1267430099331721
epoch: 10656
Epoch 10656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10656With loss 0.1267430099331721
epoch: 10657
Epoch 10657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10657With loss 0.1267430099331721
epoch: 10658
Epoch 10658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10658With loss 0.1267430099331721
epoch: 10659
Epoch 10659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10659With loss 0.1267430099331721
epoch: 10660
Epoch 10660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10660With loss 0.1267430099331721
epoch: 10661
Epoch 10661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10661With loss 0.1267430099331721
epoch: 10662
Epoch 10662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10662With loss 0.1267430099331721
epoch: 10663
Epoch 10663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10663With loss 0.1267430099331721
epoch: 10664
Epoch 10664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10664With loss 0.1267430099331721
epoch: 10665
Epoch 10665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10665With loss 0.1267430099331721
epoch: 10666
Epoch 10666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10666With loss 0.1267430099331721
epoch: 10667
Epoch 10667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10667With loss 0.1267430099331721
epoch: 10668
Epoch 10668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10668With loss 0.1267430099331721
epoch: 10669
Epoch 10669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10669With loss 0.1267430099331721
epoch: 10670
Epoch 10670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10670With loss 0.1267430099331721
epoch: 10671
Epoch 10671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10671With loss 0.1267430099331721
epoch: 10672
Epoch 10672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10672With loss 0.1267430099331721
epoch: 10673
Epoch 10673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10673With loss 0.1267430099331721
epoch: 10674
Epoch 10674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10674With loss 0.1267430099331721
epoch: 10675
Epoch 10675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10675With loss 0.1267430099331721
epoch: 10676
Epoch 10676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10676With loss 0.1267430099331721
epoch: 10677
Epoch 10677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10677With loss 0.1267430099331721
epoch: 10678
Epoch 10678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10678With loss 0.1267430099331721
epoch: 10679
Epoch 10679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10679With loss 0.1267430099331721
epoch: 10680
Epoch 10680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10680With loss 0.1267430099331721
epoch: 10681
Epoch 10681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10681With loss 0.1267430099331721
epoch: 10682
Epoch 10682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10682With loss 0.1267430099331721
epoch: 10683
Epoch 10683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10683With loss 0.1267430099331721
epoch: 10684
Epoch 10684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10684With loss 0.1267430099331721
epoch: 10685
Epoch 10685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10685With loss 0.1267430099331721
epoch: 10686
Epoch 10686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10686With loss 0.1267430099331721
epoch: 10687
Epoch 10687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10687With loss 0.1267430099331721
epoch: 10688
Epoch 10688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10688With loss 0.1267430099331721
epoch: 10689
Epoch 10689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10689With loss 0.1267430099331721
epoch: 10690
Epoch 10690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10690With loss 0.1267430099331721
epoch: 10691
Epoch 10691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10691With loss 0.1267430099331721
epoch: 10692
Epoch 10692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10692With loss 0.1267430099331721
epoch: 10693
Epoch 10693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10693With loss 0.1267430099331721
epoch: 10694
Epoch 10694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10694With loss 0.1267430099331721
epoch: 10695
Epoch 10695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10695With loss 0.1267430099331721
epoch: 10696
Epoch 10696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10696With loss 0.1267430099331721
epoch: 10697
Epoch 10697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10697With loss 0.1267430099331721
epoch: 10698
Epoch 10698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10698With loss 0.1267430099331721
epoch: 10699
Epoch 10699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10699With loss 0.1267430099331721
epoch: 10700
Epoch 10700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10700With loss 0.1267430099331721
epoch: 10701
Epoch 10701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10701With loss 0.1267430099331721
epoch: 10702
Epoch 10702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10702With loss 0.1267430099331721
epoch: 10703
Epoch 10703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10703With loss 0.1267430099331721
epoch: 10704
Epoch 10704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10704With loss 0.1267430099331721
epoch: 10705
Epoch 10705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10705With loss 0.1267430099331721
epoch: 10706
Epoch 10706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10706With loss 0.1267430099331721
epoch: 10707
Epoch 10707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10707With loss 0.1267430099331721
epoch: 10708
Epoch 10708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10708With loss 0.1267430099331721
epoch: 10709
Epoch 10709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10709With loss 0.1267430099331721
epoch: 10710
Epoch 10710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10710With loss 0.1267430099331721
epoch: 10711
Epoch 10711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10711With loss 0.1267430099331721
epoch: 10712
Epoch 10712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10712With loss 0.1267430099331721
epoch: 10713
Epoch 10713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10713With loss 0.1267430099331721
epoch: 10714
Epoch 10714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10714With loss 0.1267430099331721
epoch: 10715
Epoch 10715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10715With loss 0.1267430099331721
epoch: 10716
Epoch 10716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10716With loss 0.1267430099331721
epoch: 10717
Epoch 10717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10717With loss 0.1267430099331721
epoch: 10718
Epoch 10718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10718With loss 0.1267430099331721
epoch: 10719
Epoch 10719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10719With loss 0.1267430099331721
epoch: 10720
Epoch 10720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10720With loss 0.1267430099331721
epoch: 10721
Epoch 10721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10721With loss 0.1267430099331721
epoch: 10722
Epoch 10722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10722With loss 0.1267430099331721
epoch: 10723
Epoch 10723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10723With loss 0.1267430099331721
epoch: 10724
Epoch 10724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10724With loss 0.1267430099331721
epoch: 10725
Epoch 10725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10725With loss 0.1267430099331721
epoch: 10726
Epoch 10726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10726With loss 0.1267430099331721
epoch: 10727
Epoch 10727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10727With loss 0.1267430099331721
epoch: 10728
Epoch 10728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10728With loss 0.1267430099331721
epoch: 10729
Epoch 10729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10729With loss 0.1267430099331721
epoch: 10730
Epoch 10730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10730With loss 0.1267430099331721
epoch: 10731
Epoch 10731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10731With loss 0.1267430099331721
epoch: 10732
Epoch 10732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10732With loss 0.1267430099331721
epoch: 10733
Epoch 10733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10733With loss 0.1267430099331721
epoch: 10734
Epoch 10734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10734With loss 0.1267430099331721
epoch: 10735
Epoch 10735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10735With loss 0.1267430099331721
epoch: 10736
Epoch 10736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10736With loss 0.1267430099331721
epoch: 10737
Epoch 10737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10737With loss 0.1267430099331721
epoch: 10738
Epoch 10738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10738With loss 0.1267430099331721
epoch: 10739
Epoch 10739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10739With loss 0.1267430099331721
epoch: 10740
Epoch 10740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10740With loss 0.1267430099331721
epoch: 10741
Epoch 10741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10741With loss 0.1267430099331721
epoch: 10742
Epoch 10742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10742With loss 0.1267430099331721
epoch: 10743
Epoch 10743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10743With loss 0.1267430099331721
epoch: 10744
Epoch 10744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10744With loss 0.1267430099331721
epoch: 10745
Epoch 10745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10745With loss 0.1267430099331721
epoch: 10746
Epoch 10746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10746With loss 0.1267430099331721
epoch: 10747
Epoch 10747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10747With loss 0.1267430099331721
epoch: 10748
Epoch 10748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10748With loss 0.1267430099331721
epoch: 10749
Epoch 10749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10749With loss 0.1267430099331721
epoch: 10750
Epoch 10750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10750With loss 0.1267430099331721
epoch: 10751
Epoch 10751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10751With loss 0.1267430099331721
epoch: 10752
Epoch 10752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10752With loss 0.1267430099331721
epoch: 10753
Epoch 10753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10753With loss 0.1267430099331721
epoch: 10754
Epoch 10754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10754With loss 0.1267430099331721
epoch: 10755
Epoch 10755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10755With loss 0.1267430099331721
epoch: 10756
Epoch 10756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10756With loss 0.1267430099331721
epoch: 10757
Epoch 10757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10757With loss 0.1267430099331721
epoch: 10758
Epoch 10758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10758With loss 0.1267430099331721
epoch: 10759
Epoch 10759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10759With loss 0.1267430099331721
epoch: 10760
Epoch 10760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10760With loss 0.1267430099331721
epoch: 10761
Epoch 10761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10761With loss 0.1267430099331721
epoch: 10762
Epoch 10762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10762With loss 0.1267430099331721
epoch: 10763
Epoch 10763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10763With loss 0.1267430099331721
epoch: 10764
Epoch 10764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10764With loss 0.1267430099331721
epoch: 10765
Epoch 10765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10765With loss 0.1267430099331721
epoch: 10766
Epoch 10766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10766With loss 0.1267430099331721
epoch: 10767
Epoch 10767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10767With loss 0.1267430099331721
epoch: 10768
Epoch 10768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10768With loss 0.1267430099331721
epoch: 10769
Epoch 10769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10769With loss 0.1267430099331721
epoch: 10770
Epoch 10770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10770With loss 0.1267430099331721
epoch: 10771
Epoch 10771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10771With loss 0.1267430099331721
epoch: 10772
Epoch 10772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10772With loss 0.1267430099331721
epoch: 10773
Epoch 10773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10773With loss 0.1267430099331721
epoch: 10774
Epoch 10774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10774With loss 0.1267430099331721
epoch: 10775
Epoch 10775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10775With loss 0.1267430099331721
epoch: 10776
Epoch 10776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10776With loss 0.1267430099331721
epoch: 10777
Epoch 10777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10777With loss 0.1267430099331721
epoch: 10778
Epoch 10778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10778With loss 0.1267430099331721
epoch: 10779
Epoch 10779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10779With loss 0.1267430099331721
epoch: 10780
Epoch 10780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10780With loss 0.1267430099331721
epoch: 10781
Epoch 10781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10781With loss 0.1267430099331721
epoch: 10782
Epoch 10782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10782With loss 0.1267430099331721
epoch: 10783
Epoch 10783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10783With loss 0.1267430099331721
epoch: 10784
Epoch 10784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10784With loss 0.1267430099331721
epoch: 10785
Epoch 10785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10785With loss 0.1267430099331721
epoch: 10786
Epoch 10786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10786With loss 0.1267430099331721
epoch: 10787
Epoch 10787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10787With loss 0.1267430099331721
epoch: 10788
Epoch 10788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10788With loss 0.1267430099331721
epoch: 10789
Epoch 10789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10789With loss 0.1267430099331721
epoch: 10790
Epoch 10790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10790With loss 0.1267430099331721
epoch: 10791
Epoch 10791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10791With loss 0.1267430099331721
epoch: 10792
Epoch 10792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10792With loss 0.1267430099331721
epoch: 10793
Epoch 10793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10793With loss 0.1267430099331721
epoch: 10794
Epoch 10794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10794With loss 0.1267430099331721
epoch: 10795
Epoch 10795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10795With loss 0.1267430099331721
epoch: 10796
Epoch 10796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10796With loss 0.1267430099331721
epoch: 10797
Epoch 10797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10797With loss 0.1267430099331721
epoch: 10798
Epoch 10798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10798With loss 0.1267430099331721
epoch: 10799
Epoch 10799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10799With loss 0.1267430099331721
epoch: 10800
Epoch 10800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10800With loss 0.1267430099331721
epoch: 10801
Epoch 10801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10801With loss 0.1267430099331721
epoch: 10802
Epoch 10802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10802With loss 0.1267430099331721
epoch: 10803
Epoch 10803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10803With loss 0.1267430099331721
epoch: 10804
Epoch 10804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10804With loss 0.1267430099331721
epoch: 10805
Epoch 10805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10805With loss 0.1267430099331721
epoch: 10806
Epoch 10806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10806With loss 0.1267430099331721
epoch: 10807
Epoch 10807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10807With loss 0.1267430099331721
epoch: 10808
Epoch 10808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10808With loss 0.1267430099331721
epoch: 10809
Epoch 10809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10809With loss 0.1267430099331721
epoch: 10810
Epoch 10810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10810With loss 0.1267430099331721
epoch: 10811
Epoch 10811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10811With loss 0.1267430099331721
epoch: 10812
Epoch 10812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10812With loss 0.1267430099331721
epoch: 10813
Epoch 10813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10813With loss 0.1267430099331721
epoch: 10814
Epoch 10814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10814With loss 0.1267430099331721
epoch: 10815
Epoch 10815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10815With loss 0.1267430099331721
epoch: 10816
Epoch 10816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10816With loss 0.1267430099331721
epoch: 10817
Epoch 10817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10817With loss 0.1267430099331721
epoch: 10818
Epoch 10818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10818With loss 0.1267430099331721
epoch: 10819
Epoch 10819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10819With loss 0.1267430099331721
epoch: 10820
Epoch 10820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10820With loss 0.1267430099331721
epoch: 10821
Epoch 10821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10821With loss 0.1267430099331721
epoch: 10822
Epoch 10822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10822With loss 0.1267430099331721
epoch: 10823
Epoch 10823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10823With loss 0.1267430099331721
epoch: 10824
Epoch 10824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10824With loss 0.1267430099331721
epoch: 10825
Epoch 10825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10825With loss 0.1267430099331721
epoch: 10826
Epoch 10826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10826With loss 0.1267430099331721
epoch: 10827
Epoch 10827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10827With loss 0.1267430099331721
epoch: 10828
Epoch 10828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10828With loss 0.1267430099331721
epoch: 10829
Epoch 10829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10829With loss 0.1267430099331721
epoch: 10830
Epoch 10830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10830With loss 0.1267430099331721
epoch: 10831
Epoch 10831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10831With loss 0.1267430099331721
epoch: 10832
Epoch 10832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10832With loss 0.1267430099331721
epoch: 10833
Epoch 10833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10833With loss 0.1267430099331721
epoch: 10834
Epoch 10834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10834With loss 0.1267430099331721
epoch: 10835
Epoch 10835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10835With loss 0.1267430099331721
epoch: 10836
Epoch 10836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10836With loss 0.1267430099331721
epoch: 10837
Epoch 10837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10837With loss 0.1267430099331721
epoch: 10838
Epoch 10838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10838With loss 0.1267430099331721
epoch: 10839
Epoch 10839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10839With loss 0.1267430099331721
epoch: 10840
Epoch 10840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10840With loss 0.1267430099331721
epoch: 10841
Epoch 10841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10841With loss 0.1267430099331721
epoch: 10842
Epoch 10842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10842With loss 0.1267430099331721
epoch: 10843
Epoch 10843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10843With loss 0.1267430099331721
epoch: 10844
Epoch 10844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10844With loss 0.1267430099331721
epoch: 10845
Epoch 10845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10845With loss 0.1267430099331721
epoch: 10846
Epoch 10846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10846With loss 0.1267430099331721
epoch: 10847
Epoch 10847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10847With loss 0.1267430099331721
epoch: 10848
Epoch 10848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10848With loss 0.1267430099331721
epoch: 10849
Epoch 10849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10849With loss 0.1267430099331721
epoch: 10850
Epoch 10850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10850With loss 0.1267430099331721
epoch: 10851
Epoch 10851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10851With loss 0.1267430099331721
epoch: 10852
Epoch 10852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10852With loss 0.1267430099331721
epoch: 10853
Epoch 10853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10853With loss 0.1267430099331721
epoch: 10854
Epoch 10854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10854With loss 0.1267430099331721
epoch: 10855
Epoch 10855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10855With loss 0.1267430099331721
epoch: 10856
Epoch 10856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10856With loss 0.1267430099331721
epoch: 10857
Epoch 10857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10857With loss 0.1267430099331721
epoch: 10858
Epoch 10858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10858With loss 0.1267430099331721
epoch: 10859
Epoch 10859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10859With loss 0.1267430099331721
epoch: 10860
Epoch 10860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10860With loss 0.1267430099331721
epoch: 10861
Epoch 10861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10861With loss 0.1267430099331721
epoch: 10862
Epoch 10862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10862With loss 0.1267430099331721
epoch: 10863
Epoch 10863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10863With loss 0.1267430099331721
epoch: 10864
Epoch 10864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10864With loss 0.1267430099331721
epoch: 10865
Epoch 10865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10865With loss 0.1267430099331721
epoch: 10866
Epoch 10866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10866With loss 0.1267430099331721
epoch: 10867
Epoch 10867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10867With loss 0.1267430099331721
epoch: 10868
Epoch 10868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10868With loss 0.1267430099331721
epoch: 10869
Epoch 10869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10869With loss 0.1267430099331721
epoch: 10870
Epoch 10870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10870With loss 0.1267430099331721
epoch: 10871
Epoch 10871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10871With loss 0.1267430099331721
epoch: 10872
Epoch 10872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10872With loss 0.1267430099331721
epoch: 10873
Epoch 10873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10873With loss 0.1267430099331721
epoch: 10874
Epoch 10874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10874With loss 0.1267430099331721
epoch: 10875
Epoch 10875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10875With loss 0.1267430099331721
epoch: 10876
Epoch 10876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10876With loss 0.1267430099331721
epoch: 10877
Epoch 10877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10877With loss 0.1267430099331721
epoch: 10878
Epoch 10878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10878With loss 0.1267430099331721
epoch: 10879
Epoch 10879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10879With loss 0.1267430099331721
epoch: 10880
Epoch 10880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10880With loss 0.1267430099331721
epoch: 10881
Epoch 10881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10881With loss 0.1267430099331721
epoch: 10882
Epoch 10882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10882With loss 0.1267430099331721
epoch: 10883
Epoch 10883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10883With loss 0.1267430099331721
epoch: 10884
Epoch 10884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10884With loss 0.1267430099331721
epoch: 10885
Epoch 10885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10885With loss 0.1267430099331721
epoch: 10886
Epoch 10886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10886With loss 0.1267430099331721
epoch: 10887
Epoch 10887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10887With loss 0.1267430099331721
epoch: 10888
Epoch 10888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10888With loss 0.1267430099331721
epoch: 10889
Epoch 10889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10889With loss 0.1267430099331721
epoch: 10890
Epoch 10890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10890With loss 0.1267430099331721
epoch: 10891
Epoch 10891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10891With loss 0.1267430099331721
epoch: 10892
Epoch 10892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10892With loss 0.1267430099331721
epoch: 10893
Epoch 10893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10893With loss 0.1267430099331721
epoch: 10894
Epoch 10894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10894With loss 0.1267430099331721
epoch: 10895
Epoch 10895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10895With loss 0.1267430099331721
epoch: 10896
Epoch 10896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10896With loss 0.1267430099331721
epoch: 10897
Epoch 10897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10897With loss 0.1267430099331721
epoch: 10898
Epoch 10898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10898With loss 0.1267430099331721
epoch: 10899
Epoch 10899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10899With loss 0.1267430099331721
epoch: 10900
Epoch 10900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10900With loss 0.1267430099331721
epoch: 10901
Epoch 10901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10901With loss 0.1267430099331721
epoch: 10902
Epoch 10902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10902With loss 0.1267430099331721
epoch: 10903
Epoch 10903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10903With loss 0.1267430099331721
epoch: 10904
Epoch 10904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10904With loss 0.1267430099331721
epoch: 10905
Epoch 10905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10905With loss 0.1267430099331721
epoch: 10906
Epoch 10906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10906With loss 0.1267430099331721
epoch: 10907
Epoch 10907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10907With loss 0.1267430099331721
epoch: 10908
Epoch 10908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10908With loss 0.1267430099331721
epoch: 10909
Epoch 10909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10909With loss 0.1267430099331721
epoch: 10910
Epoch 10910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10910With loss 0.1267430099331721
epoch: 10911
Epoch 10911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10911With loss 0.1267430099331721
epoch: 10912
Epoch 10912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10912With loss 0.1267430099331721
epoch: 10913
Epoch 10913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10913With loss 0.1267430099331721
epoch: 10914
Epoch 10914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10914With loss 0.1267430099331721
epoch: 10915
Epoch 10915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10915With loss 0.1267430099331721
epoch: 10916
Epoch 10916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10916With loss 0.1267430099331721
epoch: 10917
Epoch 10917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10917With loss 0.1267430099331721
epoch: 10918
Epoch 10918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10918With loss 0.1267430099331721
epoch: 10919
Epoch 10919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10919With loss 0.1267430099331721
epoch: 10920
Epoch 10920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10920With loss 0.1267430099331721
epoch: 10921
Epoch 10921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10921With loss 0.1267430099331721
epoch: 10922
Epoch 10922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10922With loss 0.1267430099331721
epoch: 10923
Epoch 10923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10923With loss 0.1267430099331721
epoch: 10924
Epoch 10924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10924With loss 0.1267430099331721
epoch: 10925
Epoch 10925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10925With loss 0.1267430099331721
epoch: 10926
Epoch 10926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10926With loss 0.1267430099331721
epoch: 10927
Epoch 10927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10927With loss 0.1267430099331721
epoch: 10928
Epoch 10928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10928With loss 0.1267430099331721
epoch: 10929
Epoch 10929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10929With loss 0.1267430099331721
epoch: 10930
Epoch 10930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10930With loss 0.1267430099331721
epoch: 10931
Epoch 10931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10931With loss 0.1267430099331721
epoch: 10932
Epoch 10932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10932With loss 0.1267430099331721
epoch: 10933
Epoch 10933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10933With loss 0.1267430099331721
epoch: 10934
Epoch 10934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10934With loss 0.1267430099331721
epoch: 10935
Epoch 10935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10935With loss 0.1267430099331721
epoch: 10936
Epoch 10936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10936With loss 0.1267430099331721
epoch: 10937
Epoch 10937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10937With loss 0.1267430099331721
epoch: 10938
Epoch 10938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10938With loss 0.1267430099331721
epoch: 10939
Epoch 10939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10939With loss 0.1267430099331721
epoch: 10940
Epoch 10940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10940With loss 0.1267430099331721
epoch: 10941
Epoch 10941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10941With loss 0.1267430099331721
epoch: 10942
Epoch 10942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10942With loss 0.1267430099331721
epoch: 10943
Epoch 10943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10943With loss 0.1267430099331721
epoch: 10944
Epoch 10944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10944With loss 0.1267430099331721
epoch: 10945
Epoch 10945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10945With loss 0.1267430099331721
epoch: 10946
Epoch 10946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10946With loss 0.1267430099331721
epoch: 10947
Epoch 10947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10947With loss 0.1267430099331721
epoch: 10948
Epoch 10948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10948With loss 0.1267430099331721
epoch: 10949
Epoch 10949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10949With loss 0.1267430099331721
epoch: 10950
Epoch 10950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10950With loss 0.1267430099331721
epoch: 10951
Epoch 10951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10951With loss 0.1267430099331721
epoch: 10952
Epoch 10952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10952With loss 0.1267430099331721
epoch: 10953
Epoch 10953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10953With loss 0.1267430099331721
epoch: 10954
Epoch 10954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10954With loss 0.1267430099331721
epoch: 10955
Epoch 10955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10955With loss 0.1267430099331721
epoch: 10956
Epoch 10956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10956With loss 0.1267430099331721
epoch: 10957
Epoch 10957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10957With loss 0.1267430099331721
epoch: 10958
Epoch 10958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10958With loss 0.1267430099331721
epoch: 10959
Epoch 10959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10959With loss 0.1267430099331721
epoch: 10960
Epoch 10960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10960With loss 0.1267430099331721
epoch: 10961
Epoch 10961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10961With loss 0.1267430099331721
epoch: 10962
Epoch 10962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10962With loss 0.1267430099331721
epoch: 10963
Epoch 10963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10963With loss 0.1267430099331721
epoch: 10964
Epoch 10964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10964With loss 0.1267430099331721
epoch: 10965
Epoch 10965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10965With loss 0.1267430099331721
epoch: 10966
Epoch 10966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10966With loss 0.1267430099331721
epoch: 10967
Epoch 10967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10967With loss 0.1267430099331721
epoch: 10968
Epoch 10968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10968With loss 0.1267430099331721
epoch: 10969
Epoch 10969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10969With loss 0.1267430099331721
epoch: 10970
Epoch 10970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10970With loss 0.1267430099331721
epoch: 10971
Epoch 10971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10971With loss 0.1267430099331721
epoch: 10972
Epoch 10972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10972With loss 0.1267430099331721
epoch: 10973
Epoch 10973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10973With loss 0.1267430099331721
epoch: 10974
Epoch 10974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10974With loss 0.1267430099331721
epoch: 10975
Epoch 10975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10975With loss 0.1267430099331721
epoch: 10976
Epoch 10976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10976With loss 0.1267430099331721
epoch: 10977
Epoch 10977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10977With loss 0.1267430099331721
epoch: 10978
Epoch 10978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10978With loss 0.1267430099331721
epoch: 10979
Epoch 10979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10979With loss 0.1267430099331721
epoch: 10980
Epoch 10980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10980With loss 0.1267430099331721
epoch: 10981
Epoch 10981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10981With loss 0.1267430099331721
epoch: 10982
Epoch 10982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10982With loss 0.1267430099331721
epoch: 10983
Epoch 10983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10983With loss 0.1267430099331721
epoch: 10984
Epoch 10984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10984With loss 0.1267430099331721
epoch: 10985
Epoch 10985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10985With loss 0.1267430099331721
epoch: 10986
Epoch 10986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10986With loss 0.1267430099331721
epoch: 10987
Epoch 10987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10987With loss 0.1267430099331721
epoch: 10988
Epoch 10988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10988With loss 0.1267430099331721
epoch: 10989
Epoch 10989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10989With loss 0.1267430099331721
epoch: 10990
Epoch 10990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10990With loss 0.1267430099331721
epoch: 10991
Epoch 10991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10991With loss 0.1267430099331721
epoch: 10992
Epoch 10992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10992With loss 0.1267430099331721
epoch: 10993
Epoch 10993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10993With loss 0.1267430099331721
epoch: 10994
Epoch 10994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10994With loss 0.1267430099331721
epoch: 10995
Epoch 10995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10995With loss 0.1267430099331721
epoch: 10996
Epoch 10996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10996With loss 0.1267430099331721
epoch: 10997
Epoch 10997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10997With loss 0.1267430099331721
epoch: 10998
Epoch 10998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10998With loss 0.1267430099331721
epoch: 10999
Epoch 10999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 10999With loss 0.1267430099331721
epoch: 11000
Epoch 11000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11000With loss 0.1267430099331721
epoch: 11001
Epoch 11001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11001With loss 0.1267430099331721
epoch: 11002
Epoch 11002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11002With loss 0.1267430099331721
epoch: 11003
Epoch 11003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11003With loss 0.1267430099331721
epoch: 11004
Epoch 11004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11004With loss 0.1267430099331721
epoch: 11005
Epoch 11005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11005With loss 0.1267430099331721
epoch: 11006
Epoch 11006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11006With loss 0.1267430099331721
epoch: 11007
Epoch 11007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11007With loss 0.1267430099331721
epoch: 11008
Epoch 11008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11008With loss 0.1267430099331721
epoch: 11009
Epoch 11009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11009With loss 0.1267430099331721
epoch: 11010
Epoch 11010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11010With loss 0.1267430099331721
epoch: 11011
Epoch 11011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11011With loss 0.1267430099331721
epoch: 11012
Epoch 11012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11012With loss 0.1267430099331721
epoch: 11013
Epoch 11013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11013With loss 0.1267430099331721
epoch: 11014
Epoch 11014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11014With loss 0.1267430099331721
epoch: 11015
Epoch 11015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11015With loss 0.1267430099331721
epoch: 11016
Epoch 11016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11016With loss 0.1267430099331721
epoch: 11017
Epoch 11017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11017With loss 0.1267430099331721
epoch: 11018
Epoch 11018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11018With loss 0.1267430099331721
epoch: 11019
Epoch 11019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11019With loss 0.1267430099331721
epoch: 11020
Epoch 11020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11020With loss 0.1267430099331721
epoch: 11021
Epoch 11021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11021With loss 0.1267430099331721
epoch: 11022
Epoch 11022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11022With loss 0.1267430099331721
epoch: 11023
Epoch 11023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11023With loss 0.1267430099331721
epoch: 11024
Epoch 11024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11024With loss 0.1267430099331721
epoch: 11025
Epoch 11025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11025With loss 0.1267430099331721
epoch: 11026
Epoch 11026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11026With loss 0.1267430099331721
epoch: 11027
Epoch 11027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11027With loss 0.1267430099331721
epoch: 11028
Epoch 11028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11028With loss 0.1267430099331721
epoch: 11029
Epoch 11029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11029With loss 0.1267430099331721
epoch: 11030
Epoch 11030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11030With loss 0.1267430099331721
epoch: 11031
Epoch 11031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11031With loss 0.1267430099331721
epoch: 11032
Epoch 11032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11032With loss 0.1267430099331721
epoch: 11033
Epoch 11033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11033With loss 0.1267430099331721
epoch: 11034
Epoch 11034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11034With loss 0.1267430099331721
epoch: 11035
Epoch 11035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11035With loss 0.1267430099331721
epoch: 11036
Epoch 11036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11036With loss 0.1267430099331721
epoch: 11037
Epoch 11037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11037With loss 0.1267430099331721
epoch: 11038
Epoch 11038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11038With loss 0.1267430099331721
epoch: 11039
Epoch 11039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11039With loss 0.1267430099331721
epoch: 11040
Epoch 11040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11040With loss 0.1267430099331721
epoch: 11041
Epoch 11041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11041With loss 0.1267430099331721
epoch: 11042
Epoch 11042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11042With loss 0.1267430099331721
epoch: 11043
Epoch 11043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11043With loss 0.1267430099331721
epoch: 11044
Epoch 11044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11044With loss 0.1267430099331721
epoch: 11045
Epoch 11045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11045With loss 0.1267430099331721
epoch: 11046
Epoch 11046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11046With loss 0.1267430099331721
epoch: 11047
Epoch 11047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11047With loss 0.1267430099331721
epoch: 11048
Epoch 11048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11048With loss 0.1267430099331721
epoch: 11049
Epoch 11049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11049With loss 0.1267430099331721
epoch: 11050
Epoch 11050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11050With loss 0.1267430099331721
epoch: 11051
Epoch 11051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11051With loss 0.1267430099331721
epoch: 11052
Epoch 11052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11052With loss 0.1267430099331721
epoch: 11053
Epoch 11053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11053With loss 0.1267430099331721
epoch: 11054
Epoch 11054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11054With loss 0.1267430099331721
epoch: 11055
Epoch 11055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11055With loss 0.1267430099331721
epoch: 11056
Epoch 11056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11056With loss 0.1267430099331721
epoch: 11057
Epoch 11057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11057With loss 0.1267430099331721
epoch: 11058
Epoch 11058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11058With loss 0.1267430099331721
epoch: 11059
Epoch 11059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11059With loss 0.1267430099331721
epoch: 11060
Epoch 11060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11060With loss 0.1267430099331721
epoch: 11061
Epoch 11061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11061With loss 0.1267430099331721
epoch: 11062
Epoch 11062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11062With loss 0.1267430099331721
epoch: 11063
Epoch 11063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11063With loss 0.1267430099331721
epoch: 11064
Epoch 11064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11064With loss 0.1267430099331721
epoch: 11065
Epoch 11065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11065With loss 0.1267430099331721
epoch: 11066
Epoch 11066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11066With loss 0.1267430099331721
epoch: 11067
Epoch 11067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11067With loss 0.1267430099331721
epoch: 11068
Epoch 11068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11068With loss 0.1267430099331721
epoch: 11069
Epoch 11069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11069With loss 0.1267430099331721
epoch: 11070
Epoch 11070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11070With loss 0.1267430099331721
epoch: 11071
Epoch 11071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11071With loss 0.1267430099331721
epoch: 11072
Epoch 11072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11072With loss 0.1267430099331721
epoch: 11073
Epoch 11073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11073With loss 0.1267430099331721
epoch: 11074
Epoch 11074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11074With loss 0.1267430099331721
epoch: 11075
Epoch 11075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11075With loss 0.1267430099331721
epoch: 11076
Epoch 11076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11076With loss 0.1267430099331721
epoch: 11077
Epoch 11077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11077With loss 0.1267430099331721
epoch: 11078
Epoch 11078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11078With loss 0.1267430099331721
epoch: 11079
Epoch 11079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11079With loss 0.1267430099331721
epoch: 11080
Epoch 11080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11080With loss 0.1267430099331721
epoch: 11081
Epoch 11081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11081With loss 0.1267430099331721
epoch: 11082
Epoch 11082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11082With loss 0.1267430099331721
epoch: 11083
Epoch 11083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11083With loss 0.1267430099331721
epoch: 11084
Epoch 11084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11084With loss 0.1267430099331721
epoch: 11085
Epoch 11085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11085With loss 0.1267430099331721
epoch: 11086
Epoch 11086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11086With loss 0.1267430099331721
epoch: 11087
Epoch 11087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11087With loss 0.1267430099331721
epoch: 11088
Epoch 11088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11088With loss 0.1267430099331721
epoch: 11089
Epoch 11089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11089With loss 0.1267430099331721
epoch: 11090
Epoch 11090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11090With loss 0.1267430099331721
epoch: 11091
Epoch 11091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11091With loss 0.1267430099331721
epoch: 11092
Epoch 11092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11092With loss 0.1267430099331721
epoch: 11093
Epoch 11093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11093With loss 0.1267430099331721
epoch: 11094
Epoch 11094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11094With loss 0.1267430099331721
epoch: 11095
Epoch 11095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11095With loss 0.1267430099331721
epoch: 11096
Epoch 11096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11096With loss 0.1267430099331721
epoch: 11097
Epoch 11097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11097With loss 0.1267430099331721
epoch: 11098
Epoch 11098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11098With loss 0.1267430099331721
epoch: 11099
Epoch 11099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11099With loss 0.1267430099331721
epoch: 11100
Epoch 11100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11100With loss 0.1267430099331721
epoch: 11101
Epoch 11101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11101With loss 0.1267430099331721
epoch: 11102
Epoch 11102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11102With loss 0.1267430099331721
epoch: 11103
Epoch 11103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11103With loss 0.1267430099331721
epoch: 11104
Epoch 11104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11104With loss 0.1267430099331721
epoch: 11105
Epoch 11105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11105With loss 0.1267430099331721
epoch: 11106
Epoch 11106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11106With loss 0.1267430099331721
epoch: 11107
Epoch 11107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11107With loss 0.1267430099331721
epoch: 11108
Epoch 11108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11108With loss 0.1267430099331721
epoch: 11109
Epoch 11109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11109With loss 0.1267430099331721
epoch: 11110
Epoch 11110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11110With loss 0.1267430099331721
epoch: 11111
Epoch 11111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11111With loss 0.1267430099331721
epoch: 11112
Epoch 11112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11112With loss 0.1267430099331721
epoch: 11113
Epoch 11113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11113With loss 0.1267430099331721
epoch: 11114
Epoch 11114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11114With loss 0.1267430099331721
epoch: 11115
Epoch 11115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11115With loss 0.1267430099331721
epoch: 11116
Epoch 11116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11116With loss 0.1267430099331721
epoch: 11117
Epoch 11117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11117With loss 0.1267430099331721
epoch: 11118
Epoch 11118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11118With loss 0.1267430099331721
epoch: 11119
Epoch 11119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11119With loss 0.1267430099331721
epoch: 11120
Epoch 11120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11120With loss 0.1267430099331721
epoch: 11121
Epoch 11121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11121With loss 0.1267430099331721
epoch: 11122
Epoch 11122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11122With loss 0.1267430099331721
epoch: 11123
Epoch 11123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11123With loss 0.1267430099331721
epoch: 11124
Epoch 11124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11124With loss 0.1267430099331721
epoch: 11125
Epoch 11125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11125With loss 0.1267430099331721
epoch: 11126
Epoch 11126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11126With loss 0.1267430099331721
epoch: 11127
Epoch 11127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11127With loss 0.1267430099331721
epoch: 11128
Epoch 11128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11128With loss 0.1267430099331721
epoch: 11129
Epoch 11129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11129With loss 0.1267430099331721
epoch: 11130
Epoch 11130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11130With loss 0.1267430099331721
epoch: 11131
Epoch 11131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11131With loss 0.1267430099331721
epoch: 11132
Epoch 11132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11132With loss 0.1267430099331721
epoch: 11133
Epoch 11133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11133With loss 0.1267430099331721
epoch: 11134
Epoch 11134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11134With loss 0.1267430099331721
epoch: 11135
Epoch 11135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11135With loss 0.1267430099331721
epoch: 11136
Epoch 11136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11136With loss 0.1267430099331721
epoch: 11137
Epoch 11137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11137With loss 0.1267430099331721
epoch: 11138
Epoch 11138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11138With loss 0.1267430099331721
epoch: 11139
Epoch 11139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11139With loss 0.1267430099331721
epoch: 11140
Epoch 11140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11140With loss 0.1267430099331721
epoch: 11141
Epoch 11141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11141With loss 0.1267430099331721
epoch: 11142
Epoch 11142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11142With loss 0.1267430099331721
epoch: 11143
Epoch 11143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11143With loss 0.1267430099331721
epoch: 11144
Epoch 11144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11144With loss 0.1267430099331721
epoch: 11145
Epoch 11145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11145With loss 0.1267430099331721
epoch: 11146
Epoch 11146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11146With loss 0.1267430099331721
epoch: 11147
Epoch 11147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11147With loss 0.1267430099331721
epoch: 11148
Epoch 11148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11148With loss 0.1267430099331721
epoch: 11149
Epoch 11149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11149With loss 0.1267430099331721
epoch: 11150
Epoch 11150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11150With loss 0.1267430099331721
epoch: 11151
Epoch 11151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11151With loss 0.1267430099331721
epoch: 11152
Epoch 11152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11152With loss 0.1267430099331721
epoch: 11153
Epoch 11153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11153With loss 0.1267430099331721
epoch: 11154
Epoch 11154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11154With loss 0.1267430099331721
epoch: 11155
Epoch 11155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11155With loss 0.1267430099331721
epoch: 11156
Epoch 11156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11156With loss 0.1267430099331721
epoch: 11157
Epoch 11157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11157With loss 0.1267430099331721
epoch: 11158
Epoch 11158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11158With loss 0.1267430099331721
epoch: 11159
Epoch 11159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11159With loss 0.1267430099331721
epoch: 11160
Epoch 11160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11160With loss 0.1267430099331721
epoch: 11161
Epoch 11161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11161With loss 0.1267430099331721
epoch: 11162
Epoch 11162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11162With loss 0.1267430099331721
epoch: 11163
Epoch 11163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11163With loss 0.1267430099331721
epoch: 11164
Epoch 11164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11164With loss 0.1267430099331721
epoch: 11165
Epoch 11165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11165With loss 0.1267430099331721
epoch: 11166
Epoch 11166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11166With loss 0.1267430099331721
epoch: 11167
Epoch 11167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11167With loss 0.1267430099331721
epoch: 11168
Epoch 11168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11168With loss 0.1267430099331721
epoch: 11169
Epoch 11169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11169With loss 0.1267430099331721
epoch: 11170
Epoch 11170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11170With loss 0.1267430099331721
epoch: 11171
Epoch 11171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11171With loss 0.1267430099331721
epoch: 11172
Epoch 11172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11172With loss 0.1267430099331721
epoch: 11173
Epoch 11173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11173With loss 0.1267430099331721
epoch: 11174
Epoch 11174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11174With loss 0.1267430099331721
epoch: 11175
Epoch 11175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11175With loss 0.1267430099331721
epoch: 11176
Epoch 11176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11176With loss 0.1267430099331721
epoch: 11177
Epoch 11177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11177With loss 0.1267430099331721
epoch: 11178
Epoch 11178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11178With loss 0.1267430099331721
epoch: 11179
Epoch 11179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11179With loss 0.1267430099331721
epoch: 11180
Epoch 11180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11180With loss 0.1267430099331721
epoch: 11181
Epoch 11181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11181With loss 0.1267430099331721
epoch: 11182
Epoch 11182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11182With loss 0.1267430099331721
epoch: 11183
Epoch 11183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11183With loss 0.1267430099331721
epoch: 11184
Epoch 11184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11184With loss 0.1267430099331721
epoch: 11185
Epoch 11185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11185With loss 0.1267430099331721
epoch: 11186
Epoch 11186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11186With loss 0.1267430099331721
epoch: 11187
Epoch 11187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11187With loss 0.1267430099331721
epoch: 11188
Epoch 11188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11188With loss 0.1267430099331721
epoch: 11189
Epoch 11189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11189With loss 0.1267430099331721
epoch: 11190
Epoch 11190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11190With loss 0.1267430099331721
epoch: 11191
Epoch 11191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11191With loss 0.1267430099331721
epoch: 11192
Epoch 11192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11192With loss 0.1267430099331721
epoch: 11193
Epoch 11193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11193With loss 0.1267430099331721
epoch: 11194
Epoch 11194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11194With loss 0.1267430099331721
epoch: 11195
Epoch 11195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11195With loss 0.1267430099331721
epoch: 11196
Epoch 11196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11196With loss 0.1267430099331721
epoch: 11197
Epoch 11197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11197With loss 0.1267430099331721
epoch: 11198
Epoch 11198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11198With loss 0.1267430099331721
epoch: 11199
Epoch 11199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11199With loss 0.1267430099331721
epoch: 11200
Epoch 11200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11200With loss 0.1267430099331721
epoch: 11201
Epoch 11201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11201With loss 0.1267430099331721
epoch: 11202
Epoch 11202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11202With loss 0.1267430099331721
epoch: 11203
Epoch 11203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11203With loss 0.1267430099331721
epoch: 11204
Epoch 11204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11204With loss 0.1267430099331721
epoch: 11205
Epoch 11205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11205With loss 0.1267430099331721
epoch: 11206
Epoch 11206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11206With loss 0.1267430099331721
epoch: 11207
Epoch 11207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11207With loss 0.1267430099331721
epoch: 11208
Epoch 11208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11208With loss 0.1267430099331721
epoch: 11209
Epoch 11209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11209With loss 0.1267430099331721
epoch: 11210
Epoch 11210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11210With loss 0.1267430099331721
epoch: 11211
Epoch 11211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11211With loss 0.1267430099331721
epoch: 11212
Epoch 11212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11212With loss 0.1267430099331721
epoch: 11213
Epoch 11213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11213With loss 0.1267430099331721
epoch: 11214
Epoch 11214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11214With loss 0.1267430099331721
epoch: 11215
Epoch 11215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11215With loss 0.1267430099331721
epoch: 11216
Epoch 11216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11216With loss 0.1267430099331721
epoch: 11217
Epoch 11217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11217With loss 0.1267430099331721
epoch: 11218
Epoch 11218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11218With loss 0.1267430099331721
epoch: 11219
Epoch 11219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11219With loss 0.1267430099331721
epoch: 11220
Epoch 11220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11220With loss 0.1267430099331721
epoch: 11221
Epoch 11221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11221With loss 0.1267430099331721
epoch: 11222
Epoch 11222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11222With loss 0.1267430099331721
epoch: 11223
Epoch 11223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11223With loss 0.1267430099331721
epoch: 11224
Epoch 11224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11224With loss 0.1267430099331721
epoch: 11225
Epoch 11225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11225With loss 0.1267430099331721
epoch: 11226
Epoch 11226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11226With loss 0.1267430099331721
epoch: 11227
Epoch 11227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11227With loss 0.1267430099331721
epoch: 11228
Epoch 11228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11228With loss 0.1267430099331721
epoch: 11229
Epoch 11229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11229With loss 0.1267430099331721
epoch: 11230
Epoch 11230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11230With loss 0.1267430099331721
epoch: 11231
Epoch 11231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11231With loss 0.1267430099331721
epoch: 11232
Epoch 11232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11232With loss 0.1267430099331721
epoch: 11233
Epoch 11233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11233With loss 0.1267430099331721
epoch: 11234
Epoch 11234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11234With loss 0.1267430099331721
epoch: 11235
Epoch 11235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11235With loss 0.1267430099331721
epoch: 11236
Epoch 11236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11236With loss 0.1267430099331721
epoch: 11237
Epoch 11237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11237With loss 0.1267430099331721
epoch: 11238
Epoch 11238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11238With loss 0.1267430099331721
epoch: 11239
Epoch 11239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11239With loss 0.1267430099331721
epoch: 11240
Epoch 11240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11240With loss 0.1267430099331721
epoch: 11241
Epoch 11241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11241With loss 0.1267430099331721
epoch: 11242
Epoch 11242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11242With loss 0.1267430099331721
epoch: 11243
Epoch 11243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11243With loss 0.1267430099331721
epoch: 11244
Epoch 11244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11244With loss 0.1267430099331721
epoch: 11245
Epoch 11245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11245With loss 0.1267430099331721
epoch: 11246
Epoch 11246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11246With loss 0.1267430099331721
epoch: 11247
Epoch 11247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11247With loss 0.1267430099331721
epoch: 11248
Epoch 11248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11248With loss 0.1267430099331721
epoch: 11249
Epoch 11249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11249With loss 0.1267430099331721
epoch: 11250
Epoch 11250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11250With loss 0.1267430099331721
epoch: 11251
Epoch 11251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11251With loss 0.1267430099331721
epoch: 11252
Epoch 11252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11252With loss 0.1267430099331721
epoch: 11253
Epoch 11253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11253With loss 0.1267430099331721
epoch: 11254
Epoch 11254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11254With loss 0.1267430099331721
epoch: 11255
Epoch 11255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11255With loss 0.1267430099331721
epoch: 11256
Epoch 11256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11256With loss 0.1267430099331721
epoch: 11257
Epoch 11257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11257With loss 0.1267430099331721
epoch: 11258
Epoch 11258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11258With loss 0.1267430099331721
epoch: 11259
Epoch 11259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11259With loss 0.1267430099331721
epoch: 11260
Epoch 11260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11260With loss 0.1267430099331721
epoch: 11261
Epoch 11261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11261With loss 0.1267430099331721
epoch: 11262
Epoch 11262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11262With loss 0.1267430099331721
epoch: 11263
Epoch 11263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11263With loss 0.1267430099331721
epoch: 11264
Epoch 11264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11264With loss 0.1267430099331721
epoch: 11265
Epoch 11265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11265With loss 0.1267430099331721
epoch: 11266
Epoch 11266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11266With loss 0.1267430099331721
epoch: 11267
Epoch 11267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11267With loss 0.1267430099331721
epoch: 11268
Epoch 11268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11268With loss 0.1267430099331721
epoch: 11269
Epoch 11269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11269With loss 0.1267430099331721
epoch: 11270
Epoch 11270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11270With loss 0.1267430099331721
epoch: 11271
Epoch 11271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11271With loss 0.1267430099331721
epoch: 11272
Epoch 11272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11272With loss 0.1267430099331721
epoch: 11273
Epoch 11273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11273With loss 0.1267430099331721
epoch: 11274
Epoch 11274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11274With loss 0.1267430099331721
epoch: 11275
Epoch 11275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11275With loss 0.1267430099331721
epoch: 11276
Epoch 11276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11276With loss 0.1267430099331721
epoch: 11277
Epoch 11277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11277With loss 0.1267430099331721
epoch: 11278
Epoch 11278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11278With loss 0.1267430099331721
epoch: 11279
Epoch 11279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11279With loss 0.1267430099331721
epoch: 11280
Epoch 11280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11280With loss 0.1267430099331721
epoch: 11281
Epoch 11281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11281With loss 0.1267430099331721
epoch: 11282
Epoch 11282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11282With loss 0.1267430099331721
epoch: 11283
Epoch 11283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11283With loss 0.1267430099331721
epoch: 11284
Epoch 11284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11284With loss 0.1267430099331721
epoch: 11285
Epoch 11285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11285With loss 0.1267430099331721
epoch: 11286
Epoch 11286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11286With loss 0.1267430099331721
epoch: 11287
Epoch 11287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11287With loss 0.1267430099331721
epoch: 11288
Epoch 11288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11288With loss 0.1267430099331721
epoch: 11289
Epoch 11289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11289With loss 0.1267430099331721
epoch: 11290
Epoch 11290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11290With loss 0.1267430099331721
epoch: 11291
Epoch 11291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11291With loss 0.1267430099331721
epoch: 11292
Epoch 11292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11292With loss 0.1267430099331721
epoch: 11293
Epoch 11293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11293With loss 0.1267430099331721
epoch: 11294
Epoch 11294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11294With loss 0.1267430099331721
epoch: 11295
Epoch 11295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11295With loss 0.1267430099331721
epoch: 11296
Epoch 11296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11296With loss 0.1267430099331721
epoch: 11297
Epoch 11297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11297With loss 0.1267430099331721
epoch: 11298
Epoch 11298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11298With loss 0.1267430099331721
epoch: 11299
Epoch 11299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11299With loss 0.1267430099331721
epoch: 11300
Epoch 11300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11300With loss 0.1267430099331721
epoch: 11301
Epoch 11301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11301With loss 0.1267430099331721
epoch: 11302
Epoch 11302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11302With loss 0.1267430099331721
epoch: 11303
Epoch 11303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11303With loss 0.1267430099331721
epoch: 11304
Epoch 11304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11304With loss 0.1267430099331721
epoch: 11305
Epoch 11305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11305With loss 0.1267430099331721
epoch: 11306
Epoch 11306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11306With loss 0.1267430099331721
epoch: 11307
Epoch 11307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11307With loss 0.1267430099331721
epoch: 11308
Epoch 11308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11308With loss 0.1267430099331721
epoch: 11309
Epoch 11309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11309With loss 0.1267430099331721
epoch: 11310
Epoch 11310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11310With loss 0.1267430099331721
epoch: 11311
Epoch 11311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11311With loss 0.1267430099331721
epoch: 11312
Epoch 11312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11312With loss 0.1267430099331721
epoch: 11313
Epoch 11313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11313With loss 0.1267430099331721
epoch: 11314
Epoch 11314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11314With loss 0.1267430099331721
epoch: 11315
Epoch 11315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11315With loss 0.1267430099331721
epoch: 11316
Epoch 11316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11316With loss 0.1267430099331721
epoch: 11317
Epoch 11317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11317With loss 0.1267430099331721
epoch: 11318
Epoch 11318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11318With loss 0.1267430099331721
epoch: 11319
Epoch 11319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11319With loss 0.1267430099331721
epoch: 11320
Epoch 11320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11320With loss 0.1267430099331721
epoch: 11321
Epoch 11321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11321With loss 0.1267430099331721
epoch: 11322
Epoch 11322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11322With loss 0.1267430099331721
epoch: 11323
Epoch 11323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11323With loss 0.1267430099331721
epoch: 11324
Epoch 11324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11324With loss 0.1267430099331721
epoch: 11325
Epoch 11325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11325With loss 0.1267430099331721
epoch: 11326
Epoch 11326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11326With loss 0.1267430099331721
epoch: 11327
Epoch 11327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11327With loss 0.1267430099331721
epoch: 11328
Epoch 11328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11328With loss 0.1267430099331721
epoch: 11329
Epoch 11329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11329With loss 0.1267430099331721
epoch: 11330
Epoch 11330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11330With loss 0.1267430099331721
epoch: 11331
Epoch 11331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11331With loss 0.1267430099331721
epoch: 11332
Epoch 11332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11332With loss 0.1267430099331721
epoch: 11333
Epoch 11333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11333With loss 0.1267430099331721
epoch: 11334
Epoch 11334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11334With loss 0.1267430099331721
epoch: 11335
Epoch 11335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11335With loss 0.1267430099331721
epoch: 11336
Epoch 11336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11336With loss 0.1267430099331721
epoch: 11337
Epoch 11337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11337With loss 0.1267430099331721
epoch: 11338
Epoch 11338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11338With loss 0.1267430099331721
epoch: 11339
Epoch 11339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11339With loss 0.1267430099331721
epoch: 11340
Epoch 11340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11340With loss 0.1267430099331721
epoch: 11341
Epoch 11341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11341With loss 0.1267430099331721
epoch: 11342
Epoch 11342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11342With loss 0.1267430099331721
epoch: 11343
Epoch 11343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11343With loss 0.1267430099331721
epoch: 11344
Epoch 11344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11344With loss 0.1267430099331721
epoch: 11345
Epoch 11345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11345With loss 0.1267430099331721
epoch: 11346
Epoch 11346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11346With loss 0.1267430099331721
epoch: 11347
Epoch 11347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11347With loss 0.1267430099331721
epoch: 11348
Epoch 11348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11348With loss 0.1267430099331721
epoch: 11349
Epoch 11349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11349With loss 0.1267430099331721
epoch: 11350
Epoch 11350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11350With loss 0.1267430099331721
epoch: 11351
Epoch 11351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11351With loss 0.1267430099331721
epoch: 11352
Epoch 11352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11352With loss 0.1267430099331721
epoch: 11353
Epoch 11353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11353With loss 0.1267430099331721
epoch: 11354
Epoch 11354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11354With loss 0.1267430099331721
epoch: 11355
Epoch 11355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11355With loss 0.1267430099331721
epoch: 11356
Epoch 11356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11356With loss 0.1267430099331721
epoch: 11357
Epoch 11357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11357With loss 0.1267430099331721
epoch: 11358
Epoch 11358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11358With loss 0.1267430099331721
epoch: 11359
Epoch 11359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11359With loss 0.1267430099331721
epoch: 11360
Epoch 11360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11360With loss 0.1267430099331721
epoch: 11361
Epoch 11361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11361With loss 0.1267430099331721
epoch: 11362
Epoch 11362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11362With loss 0.1267430099331721
epoch: 11363
Epoch 11363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11363With loss 0.1267430099331721
epoch: 11364
Epoch 11364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11364With loss 0.1267430099331721
epoch: 11365
Epoch 11365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11365With loss 0.1267430099331721
epoch: 11366
Epoch 11366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11366With loss 0.1267430099331721
epoch: 11367
Epoch 11367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11367With loss 0.1267430099331721
epoch: 11368
Epoch 11368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11368With loss 0.1267430099331721
epoch: 11369
Epoch 11369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11369With loss 0.1267430099331721
epoch: 11370
Epoch 11370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11370With loss 0.1267430099331721
epoch: 11371
Epoch 11371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11371With loss 0.1267430099331721
epoch: 11372
Epoch 11372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11372With loss 0.1267430099331721
epoch: 11373
Epoch 11373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11373With loss 0.1267430099331721
epoch: 11374
Epoch 11374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11374With loss 0.1267430099331721
epoch: 11375
Epoch 11375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11375With loss 0.1267430099331721
epoch: 11376
Epoch 11376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11376With loss 0.1267430099331721
epoch: 11377
Epoch 11377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11377With loss 0.1267430099331721
epoch: 11378
Epoch 11378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11378With loss 0.1267430099331721
epoch: 11379
Epoch 11379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11379With loss 0.1267430099331721
epoch: 11380
Epoch 11380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11380With loss 0.1267430099331721
epoch: 11381
Epoch 11381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11381With loss 0.1267430099331721
epoch: 11382
Epoch 11382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11382With loss 0.1267430099331721
epoch: 11383
Epoch 11383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11383With loss 0.1267430099331721
epoch: 11384
Epoch 11384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11384With loss 0.1267430099331721
epoch: 11385
Epoch 11385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11385With loss 0.1267430099331721
epoch: 11386
Epoch 11386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11386With loss 0.1267430099331721
epoch: 11387
Epoch 11387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11387With loss 0.1267430099331721
epoch: 11388
Epoch 11388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11388With loss 0.1267430099331721
epoch: 11389
Epoch 11389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11389With loss 0.1267430099331721
epoch: 11390
Epoch 11390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11390With loss 0.1267430099331721
epoch: 11391
Epoch 11391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11391With loss 0.1267430099331721
epoch: 11392
Epoch 11392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11392With loss 0.1267430099331721
epoch: 11393
Epoch 11393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11393With loss 0.1267430099331721
epoch: 11394
Epoch 11394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11394With loss 0.1267430099331721
epoch: 11395
Epoch 11395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11395With loss 0.1267430099331721
epoch: 11396
Epoch 11396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11396With loss 0.1267430099331721
epoch: 11397
Epoch 11397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11397With loss 0.1267430099331721
epoch: 11398
Epoch 11398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11398With loss 0.1267430099331721
epoch: 11399
Epoch 11399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11399With loss 0.1267430099331721
epoch: 11400
Epoch 11400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11400With loss 0.1267430099331721
epoch: 11401
Epoch 11401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11401With loss 0.1267430099331721
epoch: 11402
Epoch 11402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11402With loss 0.1267430099331721
epoch: 11403
Epoch 11403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11403With loss 0.1267430099331721
epoch: 11404
Epoch 11404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11404With loss 0.1267430099331721
epoch: 11405
Epoch 11405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11405With loss 0.1267430099331721
epoch: 11406
Epoch 11406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11406With loss 0.1267430099331721
epoch: 11407
Epoch 11407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11407With loss 0.1267430099331721
epoch: 11408
Epoch 11408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11408With loss 0.1267430099331721
epoch: 11409
Epoch 11409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11409With loss 0.1267430099331721
epoch: 11410
Epoch 11410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11410With loss 0.1267430099331721
epoch: 11411
Epoch 11411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11411With loss 0.1267430099331721
epoch: 11412
Epoch 11412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11412With loss 0.1267430099331721
epoch: 11413
Epoch 11413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11413With loss 0.1267430099331721
epoch: 11414
Epoch 11414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11414With loss 0.1267430099331721
epoch: 11415
Epoch 11415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11415With loss 0.1267430099331721
epoch: 11416
Epoch 11416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11416With loss 0.1267430099331721
epoch: 11417
Epoch 11417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11417With loss 0.1267430099331721
epoch: 11418
Epoch 11418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11418With loss 0.1267430099331721
epoch: 11419
Epoch 11419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11419With loss 0.1267430099331721
epoch: 11420
Epoch 11420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11420With loss 0.1267430099331721
epoch: 11421
Epoch 11421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11421With loss 0.1267430099331721
epoch: 11422
Epoch 11422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11422With loss 0.1267430099331721
epoch: 11423
Epoch 11423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11423With loss 0.1267430099331721
epoch: 11424
Epoch 11424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11424With loss 0.1267430099331721
epoch: 11425
Epoch 11425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11425With loss 0.1267430099331721
epoch: 11426
Epoch 11426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11426With loss 0.1267430099331721
epoch: 11427
Epoch 11427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11427With loss 0.1267430099331721
epoch: 11428
Epoch 11428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11428With loss 0.1267430099331721
epoch: 11429
Epoch 11429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11429With loss 0.1267430099331721
epoch: 11430
Epoch 11430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11430With loss 0.1267430099331721
epoch: 11431
Epoch 11431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11431With loss 0.1267430099331721
epoch: 11432
Epoch 11432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11432With loss 0.1267430099331721
epoch: 11433
Epoch 11433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11433With loss 0.1267430099331721
epoch: 11434
Epoch 11434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11434With loss 0.1267430099331721
epoch: 11435
Epoch 11435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11435With loss 0.1267430099331721
epoch: 11436
Epoch 11436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11436With loss 0.1267430099331721
epoch: 11437
Epoch 11437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11437With loss 0.1267430099331721
epoch: 11438
Epoch 11438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11438With loss 0.1267430099331721
epoch: 11439
Epoch 11439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11439With loss 0.1267430099331721
epoch: 11440
Epoch 11440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11440With loss 0.1267430099331721
epoch: 11441
Epoch 11441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11441With loss 0.1267430099331721
epoch: 11442
Epoch 11442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11442With loss 0.1267430099331721
epoch: 11443
Epoch 11443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11443With loss 0.1267430099331721
epoch: 11444
Epoch 11444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11444With loss 0.1267430099331721
epoch: 11445
Epoch 11445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11445With loss 0.1267430099331721
epoch: 11446
Epoch 11446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11446With loss 0.1267430099331721
epoch: 11447
Epoch 11447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11447With loss 0.1267430099331721
epoch: 11448
Epoch 11448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11448With loss 0.1267430099331721
epoch: 11449
Epoch 11449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11449With loss 0.1267430099331721
epoch: 11450
Epoch 11450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11450With loss 0.1267430099331721
epoch: 11451
Epoch 11451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11451With loss 0.1267430099331721
epoch: 11452
Epoch 11452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11452With loss 0.1267430099331721
epoch: 11453
Epoch 11453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11453With loss 0.1267430099331721
epoch: 11454
Epoch 11454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11454With loss 0.1267430099331721
epoch: 11455
Epoch 11455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11455With loss 0.1267430099331721
epoch: 11456
Epoch 11456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11456With loss 0.1267430099331721
epoch: 11457
Epoch 11457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11457With loss 0.1267430099331721
epoch: 11458
Epoch 11458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11458With loss 0.1267430099331721
epoch: 11459
Epoch 11459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11459With loss 0.1267430099331721
epoch: 11460
Epoch 11460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11460With loss 0.1267430099331721
epoch: 11461
Epoch 11461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11461With loss 0.1267430099331721
epoch: 11462
Epoch 11462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11462With loss 0.1267430099331721
epoch: 11463
Epoch 11463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11463With loss 0.1267430099331721
epoch: 11464
Epoch 11464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11464With loss 0.1267430099331721
epoch: 11465
Epoch 11465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11465With loss 0.1267430099331721
epoch: 11466
Epoch 11466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11466With loss 0.1267430099331721
epoch: 11467
Epoch 11467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11467With loss 0.1267430099331721
epoch: 11468
Epoch 11468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11468With loss 0.1267430099331721
epoch: 11469
Epoch 11469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11469With loss 0.1267430099331721
epoch: 11470
Epoch 11470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11470With loss 0.1267430099331721
epoch: 11471
Epoch 11471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11471With loss 0.1267430099331721
epoch: 11472
Epoch 11472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11472With loss 0.1267430099331721
epoch: 11473
Epoch 11473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11473With loss 0.1267430099331721
epoch: 11474
Epoch 11474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11474With loss 0.1267430099331721
epoch: 11475
Epoch 11475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11475With loss 0.1267430099331721
epoch: 11476
Epoch 11476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11476With loss 0.1267430099331721
epoch: 11477
Epoch 11477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11477With loss 0.1267430099331721
epoch: 11478
Epoch 11478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11478With loss 0.1267430099331721
epoch: 11479
Epoch 11479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11479With loss 0.1267430099331721
epoch: 11480
Epoch 11480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11480With loss 0.1267430099331721
epoch: 11481
Epoch 11481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11481With loss 0.1267430099331721
epoch: 11482
Epoch 11482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11482With loss 0.1267430099331721
epoch: 11483
Epoch 11483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11483With loss 0.1267430099331721
epoch: 11484
Epoch 11484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11484With loss 0.1267430099331721
epoch: 11485
Epoch 11485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11485With loss 0.1267430099331721
epoch: 11486
Epoch 11486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11486With loss 0.1267430099331721
epoch: 11487
Epoch 11487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11487With loss 0.1267430099331721
epoch: 11488
Epoch 11488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11488With loss 0.1267430099331721
epoch: 11489
Epoch 11489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11489With loss 0.1267430099331721
epoch: 11490
Epoch 11490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11490With loss 0.1267430099331721
epoch: 11491
Epoch 11491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11491With loss 0.1267430099331721
epoch: 11492
Epoch 11492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11492With loss 0.1267430099331721
epoch: 11493
Epoch 11493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11493With loss 0.1267430099331721
epoch: 11494
Epoch 11494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11494With loss 0.1267430099331721
epoch: 11495
Epoch 11495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11495With loss 0.1267430099331721
epoch: 11496
Epoch 11496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11496With loss 0.1267430099331721
epoch: 11497
Epoch 11497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11497With loss 0.1267430099331721
epoch: 11498
Epoch 11498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11498With loss 0.1267430099331721
epoch: 11499
Epoch 11499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11499With loss 0.1267430099331721
epoch: 11500
Epoch 11500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11500With loss 0.1267430099331721
epoch: 11501
Epoch 11501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11501With loss 0.1267430099331721
epoch: 11502
Epoch 11502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11502With loss 0.1267430099331721
epoch: 11503
Epoch 11503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11503With loss 0.1267430099331721
epoch: 11504
Epoch 11504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11504With loss 0.1267430099331721
epoch: 11505
Epoch 11505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11505With loss 0.1267430099331721
epoch: 11506
Epoch 11506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11506With loss 0.1267430099331721
epoch: 11507
Epoch 11507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11507With loss 0.1267430099331721
epoch: 11508
Epoch 11508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11508With loss 0.1267430099331721
epoch: 11509
Epoch 11509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11509With loss 0.1267430099331721
epoch: 11510
Epoch 11510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11510With loss 0.1267430099331721
epoch: 11511
Epoch 11511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11511With loss 0.1267430099331721
epoch: 11512
Epoch 11512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11512With loss 0.1267430099331721
epoch: 11513
Epoch 11513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11513With loss 0.1267430099331721
epoch: 11514
Epoch 11514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11514With loss 0.1267430099331721
epoch: 11515
Epoch 11515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11515With loss 0.1267430099331721
epoch: 11516
Epoch 11516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11516With loss 0.1267430099331721
epoch: 11517
Epoch 11517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11517With loss 0.1267430099331721
epoch: 11518
Epoch 11518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11518With loss 0.1267430099331721
epoch: 11519
Epoch 11519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11519With loss 0.1267430099331721
epoch: 11520
Epoch 11520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11520With loss 0.1267430099331721
epoch: 11521
Epoch 11521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11521With loss 0.1267430099331721
epoch: 11522
Epoch 11522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11522With loss 0.1267430099331721
epoch: 11523
Epoch 11523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11523With loss 0.1267430099331721
epoch: 11524
Epoch 11524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11524With loss 0.1267430099331721
epoch: 11525
Epoch 11525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11525With loss 0.1267430099331721
epoch: 11526
Epoch 11526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11526With loss 0.1267430099331721
epoch: 11527
Epoch 11527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11527With loss 0.1267430099331721
epoch: 11528
Epoch 11528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11528With loss 0.1267430099331721
epoch: 11529
Epoch 11529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11529With loss 0.1267430099331721
epoch: 11530
Epoch 11530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11530With loss 0.1267430099331721
epoch: 11531
Epoch 11531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11531With loss 0.1267430099331721
epoch: 11532
Epoch 11532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11532With loss 0.1267430099331721
epoch: 11533
Epoch 11533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11533With loss 0.1267430099331721
epoch: 11534
Epoch 11534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11534With loss 0.1267430099331721
epoch: 11535
Epoch 11535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11535With loss 0.1267430099331721
epoch: 11536
Epoch 11536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11536With loss 0.1267430099331721
epoch: 11537
Epoch 11537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11537With loss 0.1267430099331721
epoch: 11538
Epoch 11538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11538With loss 0.1267430099331721
epoch: 11539
Epoch 11539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11539With loss 0.1267430099331721
epoch: 11540
Epoch 11540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11540With loss 0.1267430099331721
epoch: 11541
Epoch 11541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11541With loss 0.1267430099331721
epoch: 11542
Epoch 11542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11542With loss 0.1267430099331721
epoch: 11543
Epoch 11543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11543With loss 0.1267430099331721
epoch: 11544
Epoch 11544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11544With loss 0.1267430099331721
epoch: 11545
Epoch 11545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11545With loss 0.1267430099331721
epoch: 11546
Epoch 11546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11546With loss 0.1267430099331721
epoch: 11547
Epoch 11547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11547With loss 0.1267430099331721
epoch: 11548
Epoch 11548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11548With loss 0.1267430099331721
epoch: 11549
Epoch 11549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11549With loss 0.1267430099331721
epoch: 11550
Epoch 11550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11550With loss 0.1267430099331721
epoch: 11551
Epoch 11551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11551With loss 0.1267430099331721
epoch: 11552
Epoch 11552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11552With loss 0.1267430099331721
epoch: 11553
Epoch 11553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11553With loss 0.1267430099331721
epoch: 11554
Epoch 11554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11554With loss 0.1267430099331721
epoch: 11555
Epoch 11555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11555With loss 0.1267430099331721
epoch: 11556
Epoch 11556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11556With loss 0.1267430099331721
epoch: 11557
Epoch 11557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11557With loss 0.1267430099331721
epoch: 11558
Epoch 11558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11558With loss 0.1267430099331721
epoch: 11559
Epoch 11559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11559With loss 0.1267430099331721
epoch: 11560
Epoch 11560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11560With loss 0.1267430099331721
epoch: 11561
Epoch 11561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11561With loss 0.1267430099331721
epoch: 11562
Epoch 11562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11562With loss 0.1267430099331721
epoch: 11563
Epoch 11563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11563With loss 0.1267430099331721
epoch: 11564
Epoch 11564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11564With loss 0.1267430099331721
epoch: 11565
Epoch 11565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11565With loss 0.1267430099331721
epoch: 11566
Epoch 11566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11566With loss 0.1267430099331721
epoch: 11567
Epoch 11567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11567With loss 0.1267430099331721
epoch: 11568
Epoch 11568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11568With loss 0.1267430099331721
epoch: 11569
Epoch 11569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11569With loss 0.1267430099331721
epoch: 11570
Epoch 11570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11570With loss 0.1267430099331721
epoch: 11571
Epoch 11571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11571With loss 0.1267430099331721
epoch: 11572
Epoch 11572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11572With loss 0.1267430099331721
epoch: 11573
Epoch 11573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11573With loss 0.1267430099331721
epoch: 11574
Epoch 11574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11574With loss 0.1267430099331721
epoch: 11575
Epoch 11575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11575With loss 0.1267430099331721
epoch: 11576
Epoch 11576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11576With loss 0.1267430099331721
epoch: 11577
Epoch 11577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11577With loss 0.1267430099331721
epoch: 11578
Epoch 11578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11578With loss 0.1267430099331721
epoch: 11579
Epoch 11579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11579With loss 0.1267430099331721
epoch: 11580
Epoch 11580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11580With loss 0.1267430099331721
epoch: 11581
Epoch 11581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11581With loss 0.1267430099331721
epoch: 11582
Epoch 11582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11582With loss 0.1267430099331721
epoch: 11583
Epoch 11583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11583With loss 0.1267430099331721
epoch: 11584
Epoch 11584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11584With loss 0.1267430099331721
epoch: 11585
Epoch 11585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11585With loss 0.1267430099331721
epoch: 11586
Epoch 11586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11586With loss 0.1267430099331721
epoch: 11587
Epoch 11587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11587With loss 0.1267430099331721
epoch: 11588
Epoch 11588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11588With loss 0.1267430099331721
epoch: 11589
Epoch 11589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11589With loss 0.1267430099331721
epoch: 11590
Epoch 11590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11590With loss 0.1267430099331721
epoch: 11591
Epoch 11591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11591With loss 0.1267430099331721
epoch: 11592
Epoch 11592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11592With loss 0.1267430099331721
epoch: 11593
Epoch 11593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11593With loss 0.1267430099331721
epoch: 11594
Epoch 11594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11594With loss 0.1267430099331721
epoch: 11595
Epoch 11595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11595With loss 0.1267430099331721
epoch: 11596
Epoch 11596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11596With loss 0.1267430099331721
epoch: 11597
Epoch 11597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11597With loss 0.1267430099331721
epoch: 11598
Epoch 11598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11598With loss 0.1267430099331721
epoch: 11599
Epoch 11599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11599With loss 0.1267430099331721
epoch: 11600
Epoch 11600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11600With loss 0.1267430099331721
epoch: 11601
Epoch 11601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11601With loss 0.1267430099331721
epoch: 11602
Epoch 11602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11602With loss 0.1267430099331721
epoch: 11603
Epoch 11603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11603With loss 0.1267430099331721
epoch: 11604
Epoch 11604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11604With loss 0.1267430099331721
epoch: 11605
Epoch 11605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11605With loss 0.1267430099331721
epoch: 11606
Epoch 11606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11606With loss 0.1267430099331721
epoch: 11607
Epoch 11607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11607With loss 0.1267430099331721
epoch: 11608
Epoch 11608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11608With loss 0.1267430099331721
epoch: 11609
Epoch 11609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11609With loss 0.1267430099331721
epoch: 11610
Epoch 11610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11610With loss 0.1267430099331721
epoch: 11611
Epoch 11611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11611With loss 0.1267430099331721
epoch: 11612
Epoch 11612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11612With loss 0.1267430099331721
epoch: 11613
Epoch 11613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11613With loss 0.1267430099331721
epoch: 11614
Epoch 11614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11614With loss 0.1267430099331721
epoch: 11615
Epoch 11615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11615With loss 0.1267430099331721
epoch: 11616
Epoch 11616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11616With loss 0.1267430099331721
epoch: 11617
Epoch 11617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11617With loss 0.1267430099331721
epoch: 11618
Epoch 11618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11618With loss 0.1267430099331721
epoch: 11619
Epoch 11619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11619With loss 0.1267430099331721
epoch: 11620
Epoch 11620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11620With loss 0.1267430099331721
epoch: 11621
Epoch 11621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11621With loss 0.1267430099331721
epoch: 11622
Epoch 11622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11622With loss 0.1267430099331721
epoch: 11623
Epoch 11623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11623With loss 0.1267430099331721
epoch: 11624
Epoch 11624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11624With loss 0.1267430099331721
epoch: 11625
Epoch 11625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11625With loss 0.1267430099331721
epoch: 11626
Epoch 11626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11626With loss 0.1267430099331721
epoch: 11627
Epoch 11627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11627With loss 0.1267430099331721
epoch: 11628
Epoch 11628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11628With loss 0.1267430099331721
epoch: 11629
Epoch 11629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11629With loss 0.1267430099331721
epoch: 11630
Epoch 11630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11630With loss 0.1267430099331721
epoch: 11631
Epoch 11631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11631With loss 0.1267430099331721
epoch: 11632
Epoch 11632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11632With loss 0.1267430099331721
epoch: 11633
Epoch 11633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11633With loss 0.1267430099331721
epoch: 11634
Epoch 11634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11634With loss 0.1267430099331721
epoch: 11635
Epoch 11635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11635With loss 0.1267430099331721
epoch: 11636
Epoch 11636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11636With loss 0.1267430099331721
epoch: 11637
Epoch 11637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11637With loss 0.1267430099331721
epoch: 11638
Epoch 11638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11638With loss 0.1267430099331721
epoch: 11639
Epoch 11639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11639With loss 0.1267430099331721
epoch: 11640
Epoch 11640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11640With loss 0.1267430099331721
epoch: 11641
Epoch 11641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11641With loss 0.1267430099331721
epoch: 11642
Epoch 11642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11642With loss 0.1267430099331721
epoch: 11643
Epoch 11643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11643With loss 0.1267430099331721
epoch: 11644
Epoch 11644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11644With loss 0.1267430099331721
epoch: 11645
Epoch 11645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11645With loss 0.1267430099331721
epoch: 11646
Epoch 11646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11646With loss 0.1267430099331721
epoch: 11647
Epoch 11647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11647With loss 0.1267430099331721
epoch: 11648
Epoch 11648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11648With loss 0.1267430099331721
epoch: 11649
Epoch 11649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11649With loss 0.1267430099331721
epoch: 11650
Epoch 11650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11650With loss 0.1267430099331721
epoch: 11651
Epoch 11651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11651With loss 0.1267430099331721
epoch: 11652
Epoch 11652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11652With loss 0.1267430099331721
epoch: 11653
Epoch 11653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11653With loss 0.1267430099331721
epoch: 11654
Epoch 11654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11654With loss 0.1267430099331721
epoch: 11655
Epoch 11655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11655With loss 0.1267430099331721
epoch: 11656
Epoch 11656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11656With loss 0.1267430099331721
epoch: 11657
Epoch 11657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11657With loss 0.1267430099331721
epoch: 11658
Epoch 11658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11658With loss 0.1267430099331721
epoch: 11659
Epoch 11659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11659With loss 0.1267430099331721
epoch: 11660
Epoch 11660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11660With loss 0.1267430099331721
epoch: 11661
Epoch 11661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11661With loss 0.1267430099331721
epoch: 11662
Epoch 11662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11662With loss 0.1267430099331721
epoch: 11663
Epoch 11663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11663With loss 0.1267430099331721
epoch: 11664
Epoch 11664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11664With loss 0.1267430099331721
epoch: 11665
Epoch 11665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11665With loss 0.1267430099331721
epoch: 11666
Epoch 11666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11666With loss 0.1267430099331721
epoch: 11667
Epoch 11667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11667With loss 0.1267430099331721
epoch: 11668
Epoch 11668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11668With loss 0.1267430099331721
epoch: 11669
Epoch 11669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11669With loss 0.1267430099331721
epoch: 11670
Epoch 11670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11670With loss 0.1267430099331721
epoch: 11671
Epoch 11671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11671With loss 0.1267430099331721
epoch: 11672
Epoch 11672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11672With loss 0.1267430099331721
epoch: 11673
Epoch 11673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11673With loss 0.1267430099331721
epoch: 11674
Epoch 11674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11674With loss 0.1267430099331721
epoch: 11675
Epoch 11675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11675With loss 0.1267430099331721
epoch: 11676
Epoch 11676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11676With loss 0.1267430099331721
epoch: 11677
Epoch 11677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11677With loss 0.1267430099331721
epoch: 11678
Epoch 11678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11678With loss 0.1267430099331721
epoch: 11679
Epoch 11679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11679With loss 0.1267430099331721
epoch: 11680
Epoch 11680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11680With loss 0.1267430099331721
epoch: 11681
Epoch 11681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11681With loss 0.1267430099331721
epoch: 11682
Epoch 11682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11682With loss 0.1267430099331721
epoch: 11683
Epoch 11683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11683With loss 0.1267430099331721
epoch: 11684
Epoch 11684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11684With loss 0.1267430099331721
epoch: 11685
Epoch 11685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11685With loss 0.1267430099331721
epoch: 11686
Epoch 11686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11686With loss 0.1267430099331721
epoch: 11687
Epoch 11687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11687With loss 0.1267430099331721
epoch: 11688
Epoch 11688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11688With loss 0.1267430099331721
epoch: 11689
Epoch 11689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11689With loss 0.1267430099331721
epoch: 11690
Epoch 11690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11690With loss 0.1267430099331721
epoch: 11691
Epoch 11691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11691With loss 0.1267430099331721
epoch: 11692
Epoch 11692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11692With loss 0.1267430099331721
epoch: 11693
Epoch 11693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11693With loss 0.1267430099331721
epoch: 11694
Epoch 11694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11694With loss 0.1267430099331721
epoch: 11695
Epoch 11695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11695With loss 0.1267430099331721
epoch: 11696
Epoch 11696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11696With loss 0.1267430099331721
epoch: 11697
Epoch 11697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11697With loss 0.1267430099331721
epoch: 11698
Epoch 11698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11698With loss 0.1267430099331721
epoch: 11699
Epoch 11699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11699With loss 0.1267430099331721
epoch: 11700
Epoch 11700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11700With loss 0.1267430099331721
epoch: 11701
Epoch 11701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11701With loss 0.1267430099331721
epoch: 11702
Epoch 11702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11702With loss 0.1267430099331721
epoch: 11703
Epoch 11703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11703With loss 0.1267430099331721
epoch: 11704
Epoch 11704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11704With loss 0.1267430099331721
epoch: 11705
Epoch 11705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11705With loss 0.1267430099331721
epoch: 11706
Epoch 11706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11706With loss 0.1267430099331721
epoch: 11707
Epoch 11707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11707With loss 0.1267430099331721
epoch: 11708
Epoch 11708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11708With loss 0.1267430099331721
epoch: 11709
Epoch 11709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11709With loss 0.1267430099331721
epoch: 11710
Epoch 11710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11710With loss 0.1267430099331721
epoch: 11711
Epoch 11711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11711With loss 0.1267430099331721
epoch: 11712
Epoch 11712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11712With loss 0.1267430099331721
epoch: 11713
Epoch 11713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11713With loss 0.1267430099331721
epoch: 11714
Epoch 11714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11714With loss 0.1267430099331721
epoch: 11715
Epoch 11715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11715With loss 0.1267430099331721
epoch: 11716
Epoch 11716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11716With loss 0.1267430099331721
epoch: 11717
Epoch 11717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11717With loss 0.1267430099331721
epoch: 11718
Epoch 11718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11718With loss 0.1267430099331721
epoch: 11719
Epoch 11719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11719With loss 0.1267430099331721
epoch: 11720
Epoch 11720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11720With loss 0.1267430099331721
epoch: 11721
Epoch 11721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11721With loss 0.1267430099331721
epoch: 11722
Epoch 11722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11722With loss 0.1267430099331721
epoch: 11723
Epoch 11723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11723With loss 0.1267430099331721
epoch: 11724
Epoch 11724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11724With loss 0.1267430099331721
epoch: 11725
Epoch 11725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11725With loss 0.1267430099331721
epoch: 11726
Epoch 11726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11726With loss 0.1267430099331721
epoch: 11727
Epoch 11727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11727With loss 0.1267430099331721
epoch: 11728
Epoch 11728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11728With loss 0.1267430099331721
epoch: 11729
Epoch 11729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11729With loss 0.1267430099331721
epoch: 11730
Epoch 11730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11730With loss 0.1267430099331721
epoch: 11731
Epoch 11731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11731With loss 0.1267430099331721
epoch: 11732
Epoch 11732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11732With loss 0.1267430099331721
epoch: 11733
Epoch 11733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11733With loss 0.1267430099331721
epoch: 11734
Epoch 11734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11734With loss 0.1267430099331721
epoch: 11735
Epoch 11735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11735With loss 0.1267430099331721
epoch: 11736
Epoch 11736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11736With loss 0.1267430099331721
epoch: 11737
Epoch 11737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11737With loss 0.1267430099331721
epoch: 11738
Epoch 11738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11738With loss 0.1267430099331721
epoch: 11739
Epoch 11739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11739With loss 0.1267430099331721
epoch: 11740
Epoch 11740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11740With loss 0.1267430099331721
epoch: 11741
Epoch 11741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11741With loss 0.1267430099331721
epoch: 11742
Epoch 11742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11742With loss 0.1267430099331721
epoch: 11743
Epoch 11743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11743With loss 0.1267430099331721
epoch: 11744
Epoch 11744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11744With loss 0.1267430099331721
epoch: 11745
Epoch 11745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11745With loss 0.1267430099331721
epoch: 11746
Epoch 11746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11746With loss 0.1267430099331721
epoch: 11747
Epoch 11747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11747With loss 0.1267430099331721
epoch: 11748
Epoch 11748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11748With loss 0.1267430099331721
epoch: 11749
Epoch 11749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11749With loss 0.1267430099331721
epoch: 11750
Epoch 11750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11750With loss 0.1267430099331721
epoch: 11751
Epoch 11751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11751With loss 0.1267430099331721
epoch: 11752
Epoch 11752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11752With loss 0.1267430099331721
epoch: 11753
Epoch 11753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11753With loss 0.1267430099331721
epoch: 11754
Epoch 11754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11754With loss 0.1267430099331721
epoch: 11755
Epoch 11755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11755With loss 0.1267430099331721
epoch: 11756
Epoch 11756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11756With loss 0.1267430099331721
epoch: 11757
Epoch 11757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11757With loss 0.1267430099331721
epoch: 11758
Epoch 11758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11758With loss 0.1267430099331721
epoch: 11759
Epoch 11759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11759With loss 0.1267430099331721
epoch: 11760
Epoch 11760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11760With loss 0.1267430099331721
epoch: 11761
Epoch 11761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11761With loss 0.1267430099331721
epoch: 11762
Epoch 11762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11762With loss 0.1267430099331721
epoch: 11763
Epoch 11763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11763With loss 0.1267430099331721
epoch: 11764
Epoch 11764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11764With loss 0.1267430099331721
epoch: 11765
Epoch 11765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11765With loss 0.1267430099331721
epoch: 11766
Epoch 11766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11766With loss 0.1267430099331721
epoch: 11767
Epoch 11767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11767With loss 0.1267430099331721
epoch: 11768
Epoch 11768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11768With loss 0.1267430099331721
epoch: 11769
Epoch 11769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11769With loss 0.1267430099331721
epoch: 11770
Epoch 11770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11770With loss 0.1267430099331721
epoch: 11771
Epoch 11771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11771With loss 0.1267430099331721
epoch: 11772
Epoch 11772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11772With loss 0.1267430099331721
epoch: 11773
Epoch 11773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11773With loss 0.1267430099331721
epoch: 11774
Epoch 11774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11774With loss 0.1267430099331721
epoch: 11775
Epoch 11775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11775With loss 0.1267430099331721
epoch: 11776
Epoch 11776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11776With loss 0.1267430099331721
epoch: 11777
Epoch 11777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11777With loss 0.1267430099331721
epoch: 11778
Epoch 11778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11778With loss 0.1267430099331721
epoch: 11779
Epoch 11779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11779With loss 0.1267430099331721
epoch: 11780
Epoch 11780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11780With loss 0.1267430099331721
epoch: 11781
Epoch 11781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11781With loss 0.1267430099331721
epoch: 11782
Epoch 11782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11782With loss 0.1267430099331721
epoch: 11783
Epoch 11783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11783With loss 0.1267430099331721
epoch: 11784
Epoch 11784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11784With loss 0.1267430099331721
epoch: 11785
Epoch 11785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11785With loss 0.1267430099331721
epoch: 11786
Epoch 11786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11786With loss 0.1267430099331721
epoch: 11787
Epoch 11787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11787With loss 0.1267430099331721
epoch: 11788
Epoch 11788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11788With loss 0.1267430099331721
epoch: 11789
Epoch 11789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11789With loss 0.1267430099331721
epoch: 11790
Epoch 11790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11790With loss 0.1267430099331721
epoch: 11791
Epoch 11791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11791With loss 0.1267430099331721
epoch: 11792
Epoch 11792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11792With loss 0.1267430099331721
epoch: 11793
Epoch 11793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11793With loss 0.1267430099331721
epoch: 11794
Epoch 11794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11794With loss 0.1267430099331721
epoch: 11795
Epoch 11795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11795With loss 0.1267430099331721
epoch: 11796
Epoch 11796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11796With loss 0.1267430099331721
epoch: 11797
Epoch 11797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11797With loss 0.1267430099331721
epoch: 11798
Epoch 11798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11798With loss 0.1267430099331721
epoch: 11799
Epoch 11799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11799With loss 0.1267430099331721
epoch: 11800
Epoch 11800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11800With loss 0.1267430099331721
epoch: 11801
Epoch 11801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11801With loss 0.1267430099331721
epoch: 11802
Epoch 11802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11802With loss 0.1267430099331721
epoch: 11803
Epoch 11803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11803With loss 0.1267430099331721
epoch: 11804
Epoch 11804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11804With loss 0.1267430099331721
epoch: 11805
Epoch 11805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11805With loss 0.1267430099331721
epoch: 11806
Epoch 11806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11806With loss 0.1267430099331721
epoch: 11807
Epoch 11807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11807With loss 0.1267430099331721
epoch: 11808
Epoch 11808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11808With loss 0.1267430099331721
epoch: 11809
Epoch 11809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11809With loss 0.1267430099331721
epoch: 11810
Epoch 11810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11810With loss 0.1267430099331721
epoch: 11811
Epoch 11811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11811With loss 0.1267430099331721
epoch: 11812
Epoch 11812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11812With loss 0.1267430099331721
epoch: 11813
Epoch 11813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11813With loss 0.1267430099331721
epoch: 11814
Epoch 11814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11814With loss 0.1267430099331721
epoch: 11815
Epoch 11815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11815With loss 0.1267430099331721
epoch: 11816
Epoch 11816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11816With loss 0.1267430099331721
epoch: 11817
Epoch 11817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11817With loss 0.1267430099331721
epoch: 11818
Epoch 11818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11818With loss 0.1267430099331721
epoch: 11819
Epoch 11819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11819With loss 0.1267430099331721
epoch: 11820
Epoch 11820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11820With loss 0.1267430099331721
epoch: 11821
Epoch 11821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11821With loss 0.1267430099331721
epoch: 11822
Epoch 11822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11822With loss 0.1267430099331721
epoch: 11823
Epoch 11823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11823With loss 0.1267430099331721
epoch: 11824
Epoch 11824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11824With loss 0.1267430099331721
epoch: 11825
Epoch 11825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11825With loss 0.1267430099331721
epoch: 11826
Epoch 11826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11826With loss 0.1267430099331721
epoch: 11827
Epoch 11827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11827With loss 0.1267430099331721
epoch: 11828
Epoch 11828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11828With loss 0.1267430099331721
epoch: 11829
Epoch 11829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11829With loss 0.1267430099331721
epoch: 11830
Epoch 11830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11830With loss 0.1267430099331721
epoch: 11831
Epoch 11831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11831With loss 0.1267430099331721
epoch: 11832
Epoch 11832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11832With loss 0.1267430099331721
epoch: 11833
Epoch 11833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11833With loss 0.1267430099331721
epoch: 11834
Epoch 11834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11834With loss 0.1267430099331721
epoch: 11835
Epoch 11835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11835With loss 0.1267430099331721
epoch: 11836
Epoch 11836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11836With loss 0.1267430099331721
epoch: 11837
Epoch 11837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11837With loss 0.1267430099331721
epoch: 11838
Epoch 11838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11838With loss 0.1267430099331721
epoch: 11839
Epoch 11839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11839With loss 0.1267430099331721
epoch: 11840
Epoch 11840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11840With loss 0.1267430099331721
epoch: 11841
Epoch 11841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11841With loss 0.1267430099331721
epoch: 11842
Epoch 11842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11842With loss 0.1267430099331721
epoch: 11843
Epoch 11843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11843With loss 0.1267430099331721
epoch: 11844
Epoch 11844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11844With loss 0.1267430099331721
epoch: 11845
Epoch 11845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11845With loss 0.1267430099331721
epoch: 11846
Epoch 11846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11846With loss 0.1267430099331721
epoch: 11847
Epoch 11847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11847With loss 0.1267430099331721
epoch: 11848
Epoch 11848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11848With loss 0.1267430099331721
epoch: 11849
Epoch 11849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11849With loss 0.1267430099331721
epoch: 11850
Epoch 11850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11850With loss 0.1267430099331721
epoch: 11851
Epoch 11851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11851With loss 0.1267430099331721
epoch: 11852
Epoch 11852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11852With loss 0.1267430099331721
epoch: 11853
Epoch 11853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11853With loss 0.1267430099331721
epoch: 11854
Epoch 11854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11854With loss 0.1267430099331721
epoch: 11855
Epoch 11855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11855With loss 0.1267430099331721
epoch: 11856
Epoch 11856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11856With loss 0.1267430099331721
epoch: 11857
Epoch 11857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11857With loss 0.1267430099331721
epoch: 11858
Epoch 11858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11858With loss 0.1267430099331721
epoch: 11859
Epoch 11859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11859With loss 0.1267430099331721
epoch: 11860
Epoch 11860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11860With loss 0.1267430099331721
epoch: 11861
Epoch 11861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11861With loss 0.1267430099331721
epoch: 11862
Epoch 11862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11862With loss 0.1267430099331721
epoch: 11863
Epoch 11863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11863With loss 0.1267430099331721
epoch: 11864
Epoch 11864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11864With loss 0.1267430099331721
epoch: 11865
Epoch 11865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11865With loss 0.1267430099331721
epoch: 11866
Epoch 11866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11866With loss 0.1267430099331721
epoch: 11867
Epoch 11867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11867With loss 0.1267430099331721
epoch: 11868
Epoch 11868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11868With loss 0.1267430099331721
epoch: 11869
Epoch 11869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11869With loss 0.1267430099331721
epoch: 11870
Epoch 11870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11870With loss 0.1267430099331721
epoch: 11871
Epoch 11871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11871With loss 0.1267430099331721
epoch: 11872
Epoch 11872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11872With loss 0.1267430099331721
epoch: 11873
Epoch 11873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11873With loss 0.1267430099331721
epoch: 11874
Epoch 11874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11874With loss 0.1267430099331721
epoch: 11875
Epoch 11875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11875With loss 0.1267430099331721
epoch: 11876
Epoch 11876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11876With loss 0.1267430099331721
epoch: 11877
Epoch 11877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11877With loss 0.1267430099331721
epoch: 11878
Epoch 11878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11878With loss 0.1267430099331721
epoch: 11879
Epoch 11879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11879With loss 0.1267430099331721
epoch: 11880
Epoch 11880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11880With loss 0.1267430099331721
epoch: 11881
Epoch 11881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11881With loss 0.1267430099331721
epoch: 11882
Epoch 11882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11882With loss 0.1267430099331721
epoch: 11883
Epoch 11883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11883With loss 0.1267430099331721
epoch: 11884
Epoch 11884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11884With loss 0.1267430099331721
epoch: 11885
Epoch 11885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11885With loss 0.1267430099331721
epoch: 11886
Epoch 11886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11886With loss 0.1267430099331721
epoch: 11887
Epoch 11887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11887With loss 0.1267430099331721
epoch: 11888
Epoch 11888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11888With loss 0.1267430099331721
epoch: 11889
Epoch 11889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11889With loss 0.1267430099331721
epoch: 11890
Epoch 11890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11890With loss 0.1267430099331721
epoch: 11891
Epoch 11891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11891With loss 0.1267430099331721
epoch: 11892
Epoch 11892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11892With loss 0.1267430099331721
epoch: 11893
Epoch 11893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11893With loss 0.1267430099331721
epoch: 11894
Epoch 11894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11894With loss 0.1267430099331721
epoch: 11895
Epoch 11895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11895With loss 0.1267430099331721
epoch: 11896
Epoch 11896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11896With loss 0.1267430099331721
epoch: 11897
Epoch 11897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11897With loss 0.1267430099331721
epoch: 11898
Epoch 11898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11898With loss 0.1267430099331721
epoch: 11899
Epoch 11899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11899With loss 0.1267430099331721
epoch: 11900
Epoch 11900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11900With loss 0.1267430099331721
epoch: 11901
Epoch 11901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11901With loss 0.1267430099331721
epoch: 11902
Epoch 11902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11902With loss 0.1267430099331721
epoch: 11903
Epoch 11903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11903With loss 0.1267430099331721
epoch: 11904
Epoch 11904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11904With loss 0.1267430099331721
epoch: 11905
Epoch 11905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11905With loss 0.1267430099331721
epoch: 11906
Epoch 11906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11906With loss 0.1267430099331721
epoch: 11907
Epoch 11907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11907With loss 0.1267430099331721
epoch: 11908
Epoch 11908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11908With loss 0.1267430099331721
epoch: 11909
Epoch 11909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11909With loss 0.1267430099331721
epoch: 11910
Epoch 11910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11910With loss 0.1267430099331721
epoch: 11911
Epoch 11911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11911With loss 0.1267430099331721
epoch: 11912
Epoch 11912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11912With loss 0.1267430099331721
epoch: 11913
Epoch 11913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11913With loss 0.1267430099331721
epoch: 11914
Epoch 11914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11914With loss 0.1267430099331721
epoch: 11915
Epoch 11915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11915With loss 0.1267430099331721
epoch: 11916
Epoch 11916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11916With loss 0.1267430099331721
epoch: 11917
Epoch 11917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11917With loss 0.1267430099331721
epoch: 11918
Epoch 11918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11918With loss 0.1267430099331721
epoch: 11919
Epoch 11919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11919With loss 0.1267430099331721
epoch: 11920
Epoch 11920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11920With loss 0.1267430099331721
epoch: 11921
Epoch 11921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11921With loss 0.1267430099331721
epoch: 11922
Epoch 11922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11922With loss 0.1267430099331721
epoch: 11923
Epoch 11923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11923With loss 0.1267430099331721
epoch: 11924
Epoch 11924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11924With loss 0.1267430099331721
epoch: 11925
Epoch 11925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11925With loss 0.1267430099331721
epoch: 11926
Epoch 11926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11926With loss 0.1267430099331721
epoch: 11927
Epoch 11927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11927With loss 0.1267430099331721
epoch: 11928
Epoch 11928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11928With loss 0.1267430099331721
epoch: 11929
Epoch 11929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11929With loss 0.1267430099331721
epoch: 11930
Epoch 11930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11930With loss 0.1267430099331721
epoch: 11931
Epoch 11931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11931With loss 0.1267430099331721
epoch: 11932
Epoch 11932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11932With loss 0.1267430099331721
epoch: 11933
Epoch 11933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11933With loss 0.1267430099331721
epoch: 11934
Epoch 11934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11934With loss 0.1267430099331721
epoch: 11935
Epoch 11935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11935With loss 0.1267430099331721
epoch: 11936
Epoch 11936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11936With loss 0.1267430099331721
epoch: 11937
Epoch 11937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11937With loss 0.1267430099331721
epoch: 11938
Epoch 11938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11938With loss 0.1267430099331721
epoch: 11939
Epoch 11939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11939With loss 0.1267430099331721
epoch: 11940
Epoch 11940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11940With loss 0.1267430099331721
epoch: 11941
Epoch 11941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11941With loss 0.1267430099331721
epoch: 11942
Epoch 11942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11942With loss 0.1267430099331721
epoch: 11943
Epoch 11943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11943With loss 0.1267430099331721
epoch: 11944
Epoch 11944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11944With loss 0.1267430099331721
epoch: 11945
Epoch 11945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11945With loss 0.1267430099331721
epoch: 11946
Epoch 11946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11946With loss 0.1267430099331721
epoch: 11947
Epoch 11947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11947With loss 0.1267430099331721
epoch: 11948
Epoch 11948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11948With loss 0.1267430099331721
epoch: 11949
Epoch 11949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11949With loss 0.1267430099331721
epoch: 11950
Epoch 11950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11950With loss 0.1267430099331721
epoch: 11951
Epoch 11951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11951With loss 0.1267430099331721
epoch: 11952
Epoch 11952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11952With loss 0.1267430099331721
epoch: 11953
Epoch 11953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11953With loss 0.1267430099331721
epoch: 11954
Epoch 11954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11954With loss 0.1267430099331721
epoch: 11955
Epoch 11955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11955With loss 0.1267430099331721
epoch: 11956
Epoch 11956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11956With loss 0.1267430099331721
epoch: 11957
Epoch 11957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11957With loss 0.1267430099331721
epoch: 11958
Epoch 11958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11958With loss 0.1267430099331721
epoch: 11959
Epoch 11959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11959With loss 0.1267430099331721
epoch: 11960
Epoch 11960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11960With loss 0.1267430099331721
epoch: 11961
Epoch 11961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11961With loss 0.1267430099331721
epoch: 11962
Epoch 11962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11962With loss 0.1267430099331721
epoch: 11963
Epoch 11963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11963With loss 0.1267430099331721
epoch: 11964
Epoch 11964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11964With loss 0.1267430099331721
epoch: 11965
Epoch 11965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11965With loss 0.1267430099331721
epoch: 11966
Epoch 11966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11966With loss 0.1267430099331721
epoch: 11967
Epoch 11967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11967With loss 0.1267430099331721
epoch: 11968
Epoch 11968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11968With loss 0.1267430099331721
epoch: 11969
Epoch 11969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11969With loss 0.1267430099331721
epoch: 11970
Epoch 11970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11970With loss 0.1267430099331721
epoch: 11971
Epoch 11971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11971With loss 0.1267430099331721
epoch: 11972
Epoch 11972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11972With loss 0.1267430099331721
epoch: 11973
Epoch 11973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11973With loss 0.1267430099331721
epoch: 11974
Epoch 11974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11974With loss 0.1267430099331721
epoch: 11975
Epoch 11975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11975With loss 0.1267430099331721
epoch: 11976
Epoch 11976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11976With loss 0.1267430099331721
epoch: 11977
Epoch 11977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11977With loss 0.1267430099331721
epoch: 11978
Epoch 11978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11978With loss 0.1267430099331721
epoch: 11979
Epoch 11979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11979With loss 0.1267430099331721
epoch: 11980
Epoch 11980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11980With loss 0.1267430099331721
epoch: 11981
Epoch 11981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11981With loss 0.1267430099331721
epoch: 11982
Epoch 11982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11982With loss 0.1267430099331721
epoch: 11983
Epoch 11983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11983With loss 0.1267430099331721
epoch: 11984
Epoch 11984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11984With loss 0.1267430099331721
epoch: 11985
Epoch 11985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11985With loss 0.1267430099331721
epoch: 11986
Epoch 11986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11986With loss 0.1267430099331721
epoch: 11987
Epoch 11987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11987With loss 0.1267430099331721
epoch: 11988
Epoch 11988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11988With loss 0.1267430099331721
epoch: 11989
Epoch 11989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11989With loss 0.1267430099331721
epoch: 11990
Epoch 11990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11990With loss 0.1267430099331721
epoch: 11991
Epoch 11991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11991With loss 0.1267430099331721
epoch: 11992
Epoch 11992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11992With loss 0.1267430099331721
epoch: 11993
Epoch 11993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11993With loss 0.1267430099331721
epoch: 11994
Epoch 11994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11994With loss 0.1267430099331721
epoch: 11995
Epoch 11995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11995With loss 0.1267430099331721
epoch: 11996
Epoch 11996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11996With loss 0.1267430099331721
epoch: 11997
Epoch 11997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11997With loss 0.1267430099331721
epoch: 11998
Epoch 11998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11998With loss 0.1267430099331721
epoch: 11999
Epoch 11999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 11999With loss 0.1267430099331721
epoch: 12000
Epoch 12000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12000With loss 0.1267430099331721
epoch: 12001
Epoch 12001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12001With loss 0.1267430099331721
epoch: 12002
Epoch 12002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12002With loss 0.1267430099331721
epoch: 12003
Epoch 12003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12003With loss 0.1267430099331721
epoch: 12004
Epoch 12004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12004With loss 0.1267430099331721
epoch: 12005
Epoch 12005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12005With loss 0.1267430099331721
epoch: 12006
Epoch 12006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12006With loss 0.1267430099331721
epoch: 12007
Epoch 12007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12007With loss 0.1267430099331721
epoch: 12008
Epoch 12008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12008With loss 0.1267430099331721
epoch: 12009
Epoch 12009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12009With loss 0.1267430099331721
epoch: 12010
Epoch 12010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12010With loss 0.1267430099331721
epoch: 12011
Epoch 12011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12011With loss 0.1267430099331721
epoch: 12012
Epoch 12012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12012With loss 0.1267430099331721
epoch: 12013
Epoch 12013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12013With loss 0.1267430099331721
epoch: 12014
Epoch 12014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12014With loss 0.1267430099331721
epoch: 12015
Epoch 12015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12015With loss 0.1267430099331721
epoch: 12016
Epoch 12016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12016With loss 0.1267430099331721
epoch: 12017
Epoch 12017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12017With loss 0.1267430099331721
epoch: 12018
Epoch 12018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12018With loss 0.1267430099331721
epoch: 12019
Epoch 12019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12019With loss 0.1267430099331721
epoch: 12020
Epoch 12020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12020With loss 0.1267430099331721
epoch: 12021
Epoch 12021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12021With loss 0.1267430099331721
epoch: 12022
Epoch 12022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12022With loss 0.1267430099331721
epoch: 12023
Epoch 12023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12023With loss 0.1267430099331721
epoch: 12024
Epoch 12024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12024With loss 0.1267430099331721
epoch: 12025
Epoch 12025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12025With loss 0.1267430099331721
epoch: 12026
Epoch 12026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12026With loss 0.1267430099331721
epoch: 12027
Epoch 12027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12027With loss 0.1267430099331721
epoch: 12028
Epoch 12028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12028With loss 0.1267430099331721
epoch: 12029
Epoch 12029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12029With loss 0.1267430099331721
epoch: 12030
Epoch 12030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12030With loss 0.1267430099331721
epoch: 12031
Epoch 12031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12031With loss 0.1267430099331721
epoch: 12032
Epoch 12032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12032With loss 0.1267430099331721
epoch: 12033
Epoch 12033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12033With loss 0.1267430099331721
epoch: 12034
Epoch 12034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12034With loss 0.1267430099331721
epoch: 12035
Epoch 12035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12035With loss 0.1267430099331721
epoch: 12036
Epoch 12036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12036With loss 0.1267430099331721
epoch: 12037
Epoch 12037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12037With loss 0.1267430099331721
epoch: 12038
Epoch 12038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12038With loss 0.1267430099331721
epoch: 12039
Epoch 12039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12039With loss 0.1267430099331721
epoch: 12040
Epoch 12040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12040With loss 0.1267430099331721
epoch: 12041
Epoch 12041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12041With loss 0.1267430099331721
epoch: 12042
Epoch 12042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12042With loss 0.1267430099331721
epoch: 12043
Epoch 12043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12043With loss 0.1267430099331721
epoch: 12044
Epoch 12044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12044With loss 0.1267430099331721
epoch: 12045
Epoch 12045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12045With loss 0.1267430099331721
epoch: 12046
Epoch 12046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12046With loss 0.1267430099331721
epoch: 12047
Epoch 12047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12047With loss 0.1267430099331721
epoch: 12048
Epoch 12048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12048With loss 0.1267430099331721
epoch: 12049
Epoch 12049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12049With loss 0.1267430099331721
epoch: 12050
Epoch 12050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12050With loss 0.1267430099331721
epoch: 12051
Epoch 12051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12051With loss 0.1267430099331721
epoch: 12052
Epoch 12052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12052With loss 0.1267430099331721
epoch: 12053
Epoch 12053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12053With loss 0.1267430099331721
epoch: 12054
Epoch 12054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12054With loss 0.1267430099331721
epoch: 12055
Epoch 12055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12055With loss 0.1267430099331721
epoch: 12056
Epoch 12056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12056With loss 0.1267430099331721
epoch: 12057
Epoch 12057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12057With loss 0.1267430099331721
epoch: 12058
Epoch 12058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12058With loss 0.1267430099331721
epoch: 12059
Epoch 12059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12059With loss 0.1267430099331721
epoch: 12060
Epoch 12060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12060With loss 0.1267430099331721
epoch: 12061
Epoch 12061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12061With loss 0.1267430099331721
epoch: 12062
Epoch 12062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12062With loss 0.1267430099331721
epoch: 12063
Epoch 12063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12063With loss 0.1267430099331721
epoch: 12064
Epoch 12064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12064With loss 0.1267430099331721
epoch: 12065
Epoch 12065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12065With loss 0.1267430099331721
epoch: 12066
Epoch 12066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12066With loss 0.1267430099331721
epoch: 12067
Epoch 12067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12067With loss 0.1267430099331721
epoch: 12068
Epoch 12068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12068With loss 0.1267430099331721
epoch: 12069
Epoch 12069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12069With loss 0.1267430099331721
epoch: 12070
Epoch 12070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12070With loss 0.1267430099331721
epoch: 12071
Epoch 12071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12071With loss 0.1267430099331721
epoch: 12072
Epoch 12072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12072With loss 0.1267430099331721
epoch: 12073
Epoch 12073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12073With loss 0.1267430099331721
epoch: 12074
Epoch 12074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12074With loss 0.1267430099331721
epoch: 12075
Epoch 12075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12075With loss 0.1267430099331721
epoch: 12076
Epoch 12076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12076With loss 0.1267430099331721
epoch: 12077
Epoch 12077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12077With loss 0.1267430099331721
epoch: 12078
Epoch 12078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12078With loss 0.1267430099331721
epoch: 12079
Epoch 12079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12079With loss 0.1267430099331721
epoch: 12080
Epoch 12080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12080With loss 0.1267430099331721
epoch: 12081
Epoch 12081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12081With loss 0.1267430099331721
epoch: 12082
Epoch 12082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12082With loss 0.1267430099331721
epoch: 12083
Epoch 12083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12083With loss 0.1267430099331721
epoch: 12084
Epoch 12084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12084With loss 0.1267430099331721
epoch: 12085
Epoch 12085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12085With loss 0.1267430099331721
epoch: 12086
Epoch 12086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12086With loss 0.1267430099331721
epoch: 12087
Epoch 12087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12087With loss 0.1267430099331721
epoch: 12088
Epoch 12088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12088With loss 0.1267430099331721
epoch: 12089
Epoch 12089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12089With loss 0.1267430099331721
epoch: 12090
Epoch 12090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12090With loss 0.1267430099331721
epoch: 12091
Epoch 12091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12091With loss 0.1267430099331721
epoch: 12092
Epoch 12092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12092With loss 0.1267430099331721
epoch: 12093
Epoch 12093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12093With loss 0.1267430099331721
epoch: 12094
Epoch 12094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12094With loss 0.1267430099331721
epoch: 12095
Epoch 12095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12095With loss 0.1267430099331721
epoch: 12096
Epoch 12096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12096With loss 0.1267430099331721
epoch: 12097
Epoch 12097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12097With loss 0.1267430099331721
epoch: 12098
Epoch 12098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12098With loss 0.1267430099331721
epoch: 12099
Epoch 12099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12099With loss 0.1267430099331721
epoch: 12100
Epoch 12100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12100With loss 0.1267430099331721
epoch: 12101
Epoch 12101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12101With loss 0.1267430099331721
epoch: 12102
Epoch 12102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12102With loss 0.1267430099331721
epoch: 12103
Epoch 12103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12103With loss 0.1267430099331721
epoch: 12104
Epoch 12104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12104With loss 0.1267430099331721
epoch: 12105
Epoch 12105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12105With loss 0.1267430099331721
epoch: 12106
Epoch 12106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12106With loss 0.1267430099331721
epoch: 12107
Epoch 12107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12107With loss 0.1267430099331721
epoch: 12108
Epoch 12108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12108With loss 0.1267430099331721
epoch: 12109
Epoch 12109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12109With loss 0.1267430099331721
epoch: 12110
Epoch 12110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12110With loss 0.1267430099331721
epoch: 12111
Epoch 12111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12111With loss 0.1267430099331721
epoch: 12112
Epoch 12112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12112With loss 0.1267430099331721
epoch: 12113
Epoch 12113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12113With loss 0.1267430099331721
epoch: 12114
Epoch 12114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12114With loss 0.1267430099331721
epoch: 12115
Epoch 12115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12115With loss 0.1267430099331721
epoch: 12116
Epoch 12116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12116With loss 0.1267430099331721
epoch: 12117
Epoch 12117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12117With loss 0.1267430099331721
epoch: 12118
Epoch 12118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12118With loss 0.1267430099331721
epoch: 12119
Epoch 12119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12119With loss 0.1267430099331721
epoch: 12120
Epoch 12120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12120With loss 0.1267430099331721
epoch: 12121
Epoch 12121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12121With loss 0.1267430099331721
epoch: 12122
Epoch 12122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12122With loss 0.1267430099331721
epoch: 12123
Epoch 12123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12123With loss 0.1267430099331721
epoch: 12124
Epoch 12124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12124With loss 0.1267430099331721
epoch: 12125
Epoch 12125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12125With loss 0.1267430099331721
epoch: 12126
Epoch 12126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12126With loss 0.1267430099331721
epoch: 12127
Epoch 12127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12127With loss 0.1267430099331721
epoch: 12128
Epoch 12128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12128With loss 0.1267430099331721
epoch: 12129
Epoch 12129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12129With loss 0.1267430099331721
epoch: 12130
Epoch 12130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12130With loss 0.1267430099331721
epoch: 12131
Epoch 12131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12131With loss 0.1267430099331721
epoch: 12132
Epoch 12132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12132With loss 0.1267430099331721
epoch: 12133
Epoch 12133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12133With loss 0.1267430099331721
epoch: 12134
Epoch 12134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12134With loss 0.1267430099331721
epoch: 12135
Epoch 12135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12135With loss 0.1267430099331721
epoch: 12136
Epoch 12136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12136With loss 0.1267430099331721
epoch: 12137
Epoch 12137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12137With loss 0.1267430099331721
epoch: 12138
Epoch 12138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12138With loss 0.1267430099331721
epoch: 12139
Epoch 12139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12139With loss 0.1267430099331721
epoch: 12140
Epoch 12140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12140With loss 0.1267430099331721
epoch: 12141
Epoch 12141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12141With loss 0.1267430099331721
epoch: 12142
Epoch 12142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12142With loss 0.1267430099331721
epoch: 12143
Epoch 12143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12143With loss 0.1267430099331721
epoch: 12144
Epoch 12144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12144With loss 0.1267430099331721
epoch: 12145
Epoch 12145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12145With loss 0.1267430099331721
epoch: 12146
Epoch 12146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12146With loss 0.1267430099331721
epoch: 12147
Epoch 12147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12147With loss 0.1267430099331721
epoch: 12148
Epoch 12148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12148With loss 0.1267430099331721
epoch: 12149
Epoch 12149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12149With loss 0.1267430099331721
epoch: 12150
Epoch 12150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12150With loss 0.1267430099331721
epoch: 12151
Epoch 12151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12151With loss 0.1267430099331721
epoch: 12152
Epoch 12152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12152With loss 0.1267430099331721
epoch: 12153
Epoch 12153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12153With loss 0.1267430099331721
epoch: 12154
Epoch 12154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12154With loss 0.1267430099331721
epoch: 12155
Epoch 12155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12155With loss 0.1267430099331721
epoch: 12156
Epoch 12156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12156With loss 0.1267430099331721
epoch: 12157
Epoch 12157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12157With loss 0.1267430099331721
epoch: 12158
Epoch 12158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12158With loss 0.1267430099331721
epoch: 12159
Epoch 12159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12159With loss 0.1267430099331721
epoch: 12160
Epoch 12160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12160With loss 0.1267430099331721
epoch: 12161
Epoch 12161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12161With loss 0.1267430099331721
epoch: 12162
Epoch 12162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12162With loss 0.1267430099331721
epoch: 12163
Epoch 12163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12163With loss 0.1267430099331721
epoch: 12164
Epoch 12164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12164With loss 0.1267430099331721
epoch: 12165
Epoch 12165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12165With loss 0.1267430099331721
epoch: 12166
Epoch 12166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12166With loss 0.1267430099331721
epoch: 12167
Epoch 12167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12167With loss 0.1267430099331721
epoch: 12168
Epoch 12168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12168With loss 0.1267430099331721
epoch: 12169
Epoch 12169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12169With loss 0.1267430099331721
epoch: 12170
Epoch 12170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12170With loss 0.1267430099331721
epoch: 12171
Epoch 12171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12171With loss 0.1267430099331721
epoch: 12172
Epoch 12172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12172With loss 0.1267430099331721
epoch: 12173
Epoch 12173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12173With loss 0.1267430099331721
epoch: 12174
Epoch 12174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12174With loss 0.1267430099331721
epoch: 12175
Epoch 12175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12175With loss 0.1267430099331721
epoch: 12176
Epoch 12176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12176With loss 0.1267430099331721
epoch: 12177
Epoch 12177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12177With loss 0.1267430099331721
epoch: 12178
Epoch 12178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12178With loss 0.1267430099331721
epoch: 12179
Epoch 12179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12179With loss 0.1267430099331721
epoch: 12180
Epoch 12180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12180With loss 0.1267430099331721
epoch: 12181
Epoch 12181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12181With loss 0.1267430099331721
epoch: 12182
Epoch 12182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12182With loss 0.1267430099331721
epoch: 12183
Epoch 12183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12183With loss 0.1267430099331721
epoch: 12184
Epoch 12184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12184With loss 0.1267430099331721
epoch: 12185
Epoch 12185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12185With loss 0.1267430099331721
epoch: 12186
Epoch 12186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12186With loss 0.1267430099331721
epoch: 12187
Epoch 12187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12187With loss 0.1267430099331721
epoch: 12188
Epoch 12188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12188With loss 0.1267430099331721
epoch: 12189
Epoch 12189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12189With loss 0.1267430099331721
epoch: 12190
Epoch 12190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12190With loss 0.1267430099331721
epoch: 12191
Epoch 12191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12191With loss 0.1267430099331721
epoch: 12192
Epoch 12192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12192With loss 0.1267430099331721
epoch: 12193
Epoch 12193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12193With loss 0.1267430099331721
epoch: 12194
Epoch 12194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12194With loss 0.1267430099331721
epoch: 12195
Epoch 12195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12195With loss 0.1267430099331721
epoch: 12196
Epoch 12196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12196With loss 0.1267430099331721
epoch: 12197
Epoch 12197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12197With loss 0.1267430099331721
epoch: 12198
Epoch 12198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12198With loss 0.1267430099331721
epoch: 12199
Epoch 12199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12199With loss 0.1267430099331721
epoch: 12200
Epoch 12200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12200With loss 0.1267430099331721
epoch: 12201
Epoch 12201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12201With loss 0.1267430099331721
epoch: 12202
Epoch 12202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12202With loss 0.1267430099331721
epoch: 12203
Epoch 12203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12203With loss 0.1267430099331721
epoch: 12204
Epoch 12204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12204With loss 0.1267430099331721
epoch: 12205
Epoch 12205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12205With loss 0.1267430099331721
epoch: 12206
Epoch 12206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12206With loss 0.1267430099331721
epoch: 12207
Epoch 12207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12207With loss 0.1267430099331721
epoch: 12208
Epoch 12208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12208With loss 0.1267430099331721
epoch: 12209
Epoch 12209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12209With loss 0.1267430099331721
epoch: 12210
Epoch 12210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12210With loss 0.1267430099331721
epoch: 12211
Epoch 12211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12211With loss 0.1267430099331721
epoch: 12212
Epoch 12212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12212With loss 0.1267430099331721
epoch: 12213
Epoch 12213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12213With loss 0.1267430099331721
epoch: 12214
Epoch 12214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12214With loss 0.1267430099331721
epoch: 12215
Epoch 12215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12215With loss 0.1267430099331721
epoch: 12216
Epoch 12216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12216With loss 0.1267430099331721
epoch: 12217
Epoch 12217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12217With loss 0.1267430099331721
epoch: 12218
Epoch 12218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12218With loss 0.1267430099331721
epoch: 12219
Epoch 12219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12219With loss 0.1267430099331721
epoch: 12220
Epoch 12220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12220With loss 0.1267430099331721
epoch: 12221
Epoch 12221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12221With loss 0.1267430099331721
epoch: 12222
Epoch 12222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12222With loss 0.1267430099331721
epoch: 12223
Epoch 12223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12223With loss 0.1267430099331721
epoch: 12224
Epoch 12224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12224With loss 0.1267430099331721
epoch: 12225
Epoch 12225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12225With loss 0.1267430099331721
epoch: 12226
Epoch 12226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12226With loss 0.1267430099331721
epoch: 12227
Epoch 12227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12227With loss 0.1267430099331721
epoch: 12228
Epoch 12228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12228With loss 0.1267430099331721
epoch: 12229
Epoch 12229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12229With loss 0.1267430099331721
epoch: 12230
Epoch 12230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12230With loss 0.1267430099331721
epoch: 12231
Epoch 12231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12231With loss 0.1267430099331721
epoch: 12232
Epoch 12232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12232With loss 0.1267430099331721
epoch: 12233
Epoch 12233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12233With loss 0.1267430099331721
epoch: 12234
Epoch 12234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12234With loss 0.1267430099331721
epoch: 12235
Epoch 12235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12235With loss 0.1267430099331721
epoch: 12236
Epoch 12236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12236With loss 0.1267430099331721
epoch: 12237
Epoch 12237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12237With loss 0.1267430099331721
epoch: 12238
Epoch 12238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12238With loss 0.1267430099331721
epoch: 12239
Epoch 12239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12239With loss 0.1267430099331721
epoch: 12240
Epoch 12240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12240With loss 0.1267430099331721
epoch: 12241
Epoch 12241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12241With loss 0.1267430099331721
epoch: 12242
Epoch 12242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12242With loss 0.1267430099331721
epoch: 12243
Epoch 12243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12243With loss 0.1267430099331721
epoch: 12244
Epoch 12244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12244With loss 0.1267430099331721
epoch: 12245
Epoch 12245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12245With loss 0.1267430099331721
epoch: 12246
Epoch 12246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12246With loss 0.1267430099331721
epoch: 12247
Epoch 12247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12247With loss 0.1267430099331721
epoch: 12248
Epoch 12248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12248With loss 0.1267430099331721
epoch: 12249
Epoch 12249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12249With loss 0.1267430099331721
epoch: 12250
Epoch 12250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12250With loss 0.1267430099331721
epoch: 12251
Epoch 12251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12251With loss 0.1267430099331721
epoch: 12252
Epoch 12252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12252With loss 0.1267430099331721
epoch: 12253
Epoch 12253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12253With loss 0.1267430099331721
epoch: 12254
Epoch 12254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12254With loss 0.1267430099331721
epoch: 12255
Epoch 12255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12255With loss 0.1267430099331721
epoch: 12256
Epoch 12256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12256With loss 0.1267430099331721
epoch: 12257
Epoch 12257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12257With loss 0.1267430099331721
epoch: 12258
Epoch 12258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12258With loss 0.1267430099331721
epoch: 12259
Epoch 12259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12259With loss 0.1267430099331721
epoch: 12260
Epoch 12260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12260With loss 0.1267430099331721
epoch: 12261
Epoch 12261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12261With loss 0.1267430099331721
epoch: 12262
Epoch 12262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12262With loss 0.1267430099331721
epoch: 12263
Epoch 12263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12263With loss 0.1267430099331721
epoch: 12264
Epoch 12264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12264With loss 0.1267430099331721
epoch: 12265
Epoch 12265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12265With loss 0.1267430099331721
epoch: 12266
Epoch 12266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12266With loss 0.1267430099331721
epoch: 12267
Epoch 12267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12267With loss 0.1267430099331721
epoch: 12268
Epoch 12268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12268With loss 0.1267430099331721
epoch: 12269
Epoch 12269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12269With loss 0.1267430099331721
epoch: 12270
Epoch 12270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12270With loss 0.1267430099331721
epoch: 12271
Epoch 12271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12271With loss 0.1267430099331721
epoch: 12272
Epoch 12272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12272With loss 0.1267430099331721
epoch: 12273
Epoch 12273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12273With loss 0.1267430099331721
epoch: 12274
Epoch 12274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12274With loss 0.1267430099331721
epoch: 12275
Epoch 12275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12275With loss 0.1267430099331721
epoch: 12276
Epoch 12276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12276With loss 0.1267430099331721
epoch: 12277
Epoch 12277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12277With loss 0.1267430099331721
epoch: 12278
Epoch 12278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12278With loss 0.1267430099331721
epoch: 12279
Epoch 12279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12279With loss 0.1267430099331721
epoch: 12280
Epoch 12280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12280With loss 0.1267430099331721
epoch: 12281
Epoch 12281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12281With loss 0.1267430099331721
epoch: 12282
Epoch 12282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12282With loss 0.1267430099331721
epoch: 12283
Epoch 12283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12283With loss 0.1267430099331721
epoch: 12284
Epoch 12284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12284With loss 0.1267430099331721
epoch: 12285
Epoch 12285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12285With loss 0.1267430099331721
epoch: 12286
Epoch 12286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12286With loss 0.1267430099331721
epoch: 12287
Epoch 12287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12287With loss 0.1267430099331721
epoch: 12288
Epoch 12288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12288With loss 0.1267430099331721
epoch: 12289
Epoch 12289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12289With loss 0.1267430099331721
epoch: 12290
Epoch 12290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12290With loss 0.1267430099331721
epoch: 12291
Epoch 12291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12291With loss 0.1267430099331721
epoch: 12292
Epoch 12292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12292With loss 0.1267430099331721
epoch: 12293
Epoch 12293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12293With loss 0.1267430099331721
epoch: 12294
Epoch 12294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12294With loss 0.1267430099331721
epoch: 12295
Epoch 12295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12295With loss 0.1267430099331721
epoch: 12296
Epoch 12296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12296With loss 0.1267430099331721
epoch: 12297
Epoch 12297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12297With loss 0.1267430099331721
epoch: 12298
Epoch 12298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12298With loss 0.1267430099331721
epoch: 12299
Epoch 12299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12299With loss 0.1267430099331721
epoch: 12300
Epoch 12300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12300With loss 0.1267430099331721
epoch: 12301
Epoch 12301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12301With loss 0.1267430099331721
epoch: 12302
Epoch 12302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12302With loss 0.1267430099331721
epoch: 12303
Epoch 12303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12303With loss 0.1267430099331721
epoch: 12304
Epoch 12304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12304With loss 0.1267430099331721
epoch: 12305
Epoch 12305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12305With loss 0.1267430099331721
epoch: 12306
Epoch 12306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12306With loss 0.1267430099331721
epoch: 12307
Epoch 12307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12307With loss 0.1267430099331721
epoch: 12308
Epoch 12308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12308With loss 0.1267430099331721
epoch: 12309
Epoch 12309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12309With loss 0.1267430099331721
epoch: 12310
Epoch 12310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12310With loss 0.1267430099331721
epoch: 12311
Epoch 12311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12311With loss 0.1267430099331721
epoch: 12312
Epoch 12312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12312With loss 0.1267430099331721
epoch: 12313
Epoch 12313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12313With loss 0.1267430099331721
epoch: 12314
Epoch 12314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12314With loss 0.1267430099331721
epoch: 12315
Epoch 12315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12315With loss 0.1267430099331721
epoch: 12316
Epoch 12316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12316With loss 0.1267430099331721
epoch: 12317
Epoch 12317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12317With loss 0.1267430099331721
epoch: 12318
Epoch 12318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12318With loss 0.1267430099331721
epoch: 12319
Epoch 12319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12319With loss 0.1267430099331721
epoch: 12320
Epoch 12320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12320With loss 0.1267430099331721
epoch: 12321
Epoch 12321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12321With loss 0.1267430099331721
epoch: 12322
Epoch 12322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12322With loss 0.1267430099331721
epoch: 12323
Epoch 12323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12323With loss 0.1267430099331721
epoch: 12324
Epoch 12324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12324With loss 0.1267430099331721
epoch: 12325
Epoch 12325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12325With loss 0.1267430099331721
epoch: 12326
Epoch 12326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12326With loss 0.1267430099331721
epoch: 12327
Epoch 12327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12327With loss 0.1267430099331721
epoch: 12328
Epoch 12328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12328With loss 0.1267430099331721
epoch: 12329
Epoch 12329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12329With loss 0.1267430099331721
epoch: 12330
Epoch 12330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12330With loss 0.1267430099331721
epoch: 12331
Epoch 12331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12331With loss 0.1267430099331721
epoch: 12332
Epoch 12332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12332With loss 0.1267430099331721
epoch: 12333
Epoch 12333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12333With loss 0.1267430099331721
epoch: 12334
Epoch 12334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12334With loss 0.1267430099331721
epoch: 12335
Epoch 12335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12335With loss 0.1267430099331721
epoch: 12336
Epoch 12336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12336With loss 0.1267430099331721
epoch: 12337
Epoch 12337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12337With loss 0.1267430099331721
epoch: 12338
Epoch 12338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12338With loss 0.1267430099331721
epoch: 12339
Epoch 12339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12339With loss 0.1267430099331721
epoch: 12340
Epoch 12340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12340With loss 0.1267430099331721
epoch: 12341
Epoch 12341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12341With loss 0.1267430099331721
epoch: 12342
Epoch 12342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12342With loss 0.1267430099331721
epoch: 12343
Epoch 12343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12343With loss 0.1267430099331721
epoch: 12344
Epoch 12344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12344With loss 0.1267430099331721
epoch: 12345
Epoch 12345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12345With loss 0.1267430099331721
epoch: 12346
Epoch 12346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12346With loss 0.1267430099331721
epoch: 12347
Epoch 12347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12347With loss 0.1267430099331721
epoch: 12348
Epoch 12348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12348With loss 0.1267430099331721
epoch: 12349
Epoch 12349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12349With loss 0.1267430099331721
epoch: 12350
Epoch 12350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12350With loss 0.1267430099331721
epoch: 12351
Epoch 12351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12351With loss 0.1267430099331721
epoch: 12352
Epoch 12352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12352With loss 0.1267430099331721
epoch: 12353
Epoch 12353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12353With loss 0.1267430099331721
epoch: 12354
Epoch 12354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12354With loss 0.1267430099331721
epoch: 12355
Epoch 12355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12355With loss 0.1267430099331721
epoch: 12356
Epoch 12356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12356With loss 0.1267430099331721
epoch: 12357
Epoch 12357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12357With loss 0.1267430099331721
epoch: 12358
Epoch 12358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12358With loss 0.1267430099331721
epoch: 12359
Epoch 12359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12359With loss 0.1267430099331721
epoch: 12360
Epoch 12360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12360With loss 0.1267430099331721
epoch: 12361
Epoch 12361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12361With loss 0.1267430099331721
epoch: 12362
Epoch 12362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12362With loss 0.1267430099331721
epoch: 12363
Epoch 12363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12363With loss 0.1267430099331721
epoch: 12364
Epoch 12364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12364With loss 0.1267430099331721
epoch: 12365
Epoch 12365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12365With loss 0.1267430099331721
epoch: 12366
Epoch 12366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12366With loss 0.1267430099331721
epoch: 12367
Epoch 12367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12367With loss 0.1267430099331721
epoch: 12368
Epoch 12368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12368With loss 0.1267430099331721
epoch: 12369
Epoch 12369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12369With loss 0.1267430099331721
epoch: 12370
Epoch 12370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12370With loss 0.1267430099331721
epoch: 12371
Epoch 12371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12371With loss 0.1267430099331721
epoch: 12372
Epoch 12372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12372With loss 0.1267430099331721
epoch: 12373
Epoch 12373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12373With loss 0.1267430099331721
epoch: 12374
Epoch 12374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12374With loss 0.1267430099331721
epoch: 12375
Epoch 12375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12375With loss 0.1267430099331721
epoch: 12376
Epoch 12376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12376With loss 0.1267430099331721
epoch: 12377
Epoch 12377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12377With loss 0.1267430099331721
epoch: 12378
Epoch 12378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12378With loss 0.1267430099331721
epoch: 12379
Epoch 12379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12379With loss 0.1267430099331721
epoch: 12380
Epoch 12380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12380With loss 0.1267430099331721
epoch: 12381
Epoch 12381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12381With loss 0.1267430099331721
epoch: 12382
Epoch 12382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12382With loss 0.1267430099331721
epoch: 12383
Epoch 12383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12383With loss 0.1267430099331721
epoch: 12384
Epoch 12384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12384With loss 0.1267430099331721
epoch: 12385
Epoch 12385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12385With loss 0.1267430099331721
epoch: 12386
Epoch 12386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12386With loss 0.1267430099331721
epoch: 12387
Epoch 12387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12387With loss 0.1267430099331721
epoch: 12388
Epoch 12388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12388With loss 0.1267430099331721
epoch: 12389
Epoch 12389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12389With loss 0.1267430099331721
epoch: 12390
Epoch 12390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12390With loss 0.1267430099331721
epoch: 12391
Epoch 12391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12391With loss 0.1267430099331721
epoch: 12392
Epoch 12392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12392With loss 0.1267430099331721
epoch: 12393
Epoch 12393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12393With loss 0.1267430099331721
epoch: 12394
Epoch 12394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12394With loss 0.1267430099331721
epoch: 12395
Epoch 12395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12395With loss 0.1267430099331721
epoch: 12396
Epoch 12396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12396With loss 0.1267430099331721
epoch: 12397
Epoch 12397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12397With loss 0.1267430099331721
epoch: 12398
Epoch 12398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12398With loss 0.1267430099331721
epoch: 12399
Epoch 12399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12399With loss 0.1267430099331721
epoch: 12400
Epoch 12400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12400With loss 0.1267430099331721
epoch: 12401
Epoch 12401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12401With loss 0.1267430099331721
epoch: 12402
Epoch 12402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12402With loss 0.1267430099331721
epoch: 12403
Epoch 12403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12403With loss 0.1267430099331721
epoch: 12404
Epoch 12404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12404With loss 0.1267430099331721
epoch: 12405
Epoch 12405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12405With loss 0.1267430099331721
epoch: 12406
Epoch 12406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12406With loss 0.1267430099331721
epoch: 12407
Epoch 12407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12407With loss 0.1267430099331721
epoch: 12408
Epoch 12408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12408With loss 0.1267430099331721
epoch: 12409
Epoch 12409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12409With loss 0.1267430099331721
epoch: 12410
Epoch 12410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12410With loss 0.1267430099331721
epoch: 12411
Epoch 12411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12411With loss 0.1267430099331721
epoch: 12412
Epoch 12412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12412With loss 0.1267430099331721
epoch: 12413
Epoch 12413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12413With loss 0.1267430099331721
epoch: 12414
Epoch 12414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12414With loss 0.1267430099331721
epoch: 12415
Epoch 12415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12415With loss 0.1267430099331721
epoch: 12416
Epoch 12416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12416With loss 0.1267430099331721
epoch: 12417
Epoch 12417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12417With loss 0.1267430099331721
epoch: 12418
Epoch 12418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12418With loss 0.1267430099331721
epoch: 12419
Epoch 12419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12419With loss 0.1267430099331721
epoch: 12420
Epoch 12420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12420With loss 0.1267430099331721
epoch: 12421
Epoch 12421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12421With loss 0.1267430099331721
epoch: 12422
Epoch 12422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12422With loss 0.1267430099331721
epoch: 12423
Epoch 12423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12423With loss 0.1267430099331721
epoch: 12424
Epoch 12424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12424With loss 0.1267430099331721
epoch: 12425
Epoch 12425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12425With loss 0.1267430099331721
epoch: 12426
Epoch 12426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12426With loss 0.1267430099331721
epoch: 12427
Epoch 12427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12427With loss 0.1267430099331721
epoch: 12428
Epoch 12428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12428With loss 0.1267430099331721
epoch: 12429
Epoch 12429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12429With loss 0.1267430099331721
epoch: 12430
Epoch 12430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12430With loss 0.1267430099331721
epoch: 12431
Epoch 12431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12431With loss 0.1267430099331721
epoch: 12432
Epoch 12432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12432With loss 0.1267430099331721
epoch: 12433
Epoch 12433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12433With loss 0.1267430099331721
epoch: 12434
Epoch 12434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12434With loss 0.1267430099331721
epoch: 12435
Epoch 12435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12435With loss 0.1267430099331721
epoch: 12436
Epoch 12436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12436With loss 0.1267430099331721
epoch: 12437
Epoch 12437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12437With loss 0.1267430099331721
epoch: 12438
Epoch 12438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12438With loss 0.1267430099331721
epoch: 12439
Epoch 12439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12439With loss 0.1267430099331721
epoch: 12440
Epoch 12440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12440With loss 0.1267430099331721
epoch: 12441
Epoch 12441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12441With loss 0.1267430099331721
epoch: 12442
Epoch 12442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12442With loss 0.1267430099331721
epoch: 12443
Epoch 12443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12443With loss 0.1267430099331721
epoch: 12444
Epoch 12444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12444With loss 0.1267430099331721
epoch: 12445
Epoch 12445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12445With loss 0.1267430099331721
epoch: 12446
Epoch 12446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12446With loss 0.1267430099331721
epoch: 12447
Epoch 12447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12447With loss 0.1267430099331721
epoch: 12448
Epoch 12448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12448With loss 0.1267430099331721
epoch: 12449
Epoch 12449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12449With loss 0.1267430099331721
epoch: 12450
Epoch 12450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12450With loss 0.1267430099331721
epoch: 12451
Epoch 12451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12451With loss 0.1267430099331721
epoch: 12452
Epoch 12452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12452With loss 0.1267430099331721
epoch: 12453
Epoch 12453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12453With loss 0.1267430099331721
epoch: 12454
Epoch 12454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12454With loss 0.1267430099331721
epoch: 12455
Epoch 12455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12455With loss 0.1267430099331721
epoch: 12456
Epoch 12456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12456With loss 0.1267430099331721
epoch: 12457
Epoch 12457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12457With loss 0.1267430099331721
epoch: 12458
Epoch 12458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12458With loss 0.1267430099331721
epoch: 12459
Epoch 12459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12459With loss 0.1267430099331721
epoch: 12460
Epoch 12460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12460With loss 0.1267430099331721
epoch: 12461
Epoch 12461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12461With loss 0.1267430099331721
epoch: 12462
Epoch 12462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12462With loss 0.1267430099331721
epoch: 12463
Epoch 12463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12463With loss 0.1267430099331721
epoch: 12464
Epoch 12464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12464With loss 0.1267430099331721
epoch: 12465
Epoch 12465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12465With loss 0.1267430099331721
epoch: 12466
Epoch 12466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12466With loss 0.1267430099331721
epoch: 12467
Epoch 12467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12467With loss 0.1267430099331721
epoch: 12468
Epoch 12468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12468With loss 0.1267430099331721
epoch: 12469
Epoch 12469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12469With loss 0.1267430099331721
epoch: 12470
Epoch 12470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12470With loss 0.1267430099331721
epoch: 12471
Epoch 12471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12471With loss 0.1267430099331721
epoch: 12472
Epoch 12472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12472With loss 0.1267430099331721
epoch: 12473
Epoch 12473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12473With loss 0.1267430099331721
epoch: 12474
Epoch 12474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12474With loss 0.1267430099331721
epoch: 12475
Epoch 12475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12475With loss 0.1267430099331721
epoch: 12476
Epoch 12476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12476With loss 0.1267430099331721
epoch: 12477
Epoch 12477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12477With loss 0.1267430099331721
epoch: 12478
Epoch 12478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12478With loss 0.1267430099331721
epoch: 12479
Epoch 12479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12479With loss 0.1267430099331721
epoch: 12480
Epoch 12480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12480With loss 0.1267430099331721
epoch: 12481
Epoch 12481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12481With loss 0.1267430099331721
epoch: 12482
Epoch 12482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12482With loss 0.1267430099331721
epoch: 12483
Epoch 12483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12483With loss 0.1267430099331721
epoch: 12484
Epoch 12484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12484With loss 0.1267430099331721
epoch: 12485
Epoch 12485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12485With loss 0.1267430099331721
epoch: 12486
Epoch 12486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12486With loss 0.1267430099331721
epoch: 12487
Epoch 12487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12487With loss 0.1267430099331721
epoch: 12488
Epoch 12488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12488With loss 0.1267430099331721
epoch: 12489
Epoch 12489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12489With loss 0.1267430099331721
epoch: 12490
Epoch 12490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12490With loss 0.1267430099331721
epoch: 12491
Epoch 12491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12491With loss 0.1267430099331721
epoch: 12492
Epoch 12492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12492With loss 0.1267430099331721
epoch: 12493
Epoch 12493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12493With loss 0.1267430099331721
epoch: 12494
Epoch 12494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12494With loss 0.1267430099331721
epoch: 12495
Epoch 12495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12495With loss 0.1267430099331721
epoch: 12496
Epoch 12496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12496With loss 0.1267430099331721
epoch: 12497
Epoch 12497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12497With loss 0.1267430099331721
epoch: 12498
Epoch 12498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12498With loss 0.1267430099331721
epoch: 12499
Epoch 12499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12499With loss 0.1267430099331721
epoch: 12500
Epoch 12500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12500With loss 0.1267430099331721
epoch: 12501
Epoch 12501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12501With loss 0.1267430099331721
epoch: 12502
Epoch 12502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12502With loss 0.1267430099331721
epoch: 12503
Epoch 12503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12503With loss 0.1267430099331721
epoch: 12504
Epoch 12504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12504With loss 0.1267430099331721
epoch: 12505
Epoch 12505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12505With loss 0.1267430099331721
epoch: 12506
Epoch 12506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12506With loss 0.1267430099331721
epoch: 12507
Epoch 12507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12507With loss 0.1267430099331721
epoch: 12508
Epoch 12508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12508With loss 0.1267430099331721
epoch: 12509
Epoch 12509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12509With loss 0.1267430099331721
epoch: 12510
Epoch 12510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12510With loss 0.1267430099331721
epoch: 12511
Epoch 12511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12511With loss 0.1267430099331721
epoch: 12512
Epoch 12512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12512With loss 0.1267430099331721
epoch: 12513
Epoch 12513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12513With loss 0.1267430099331721
epoch: 12514
Epoch 12514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12514With loss 0.1267430099331721
epoch: 12515
Epoch 12515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12515With loss 0.1267430099331721
epoch: 12516
Epoch 12516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12516With loss 0.1267430099331721
epoch: 12517
Epoch 12517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12517With loss 0.1267430099331721
epoch: 12518
Epoch 12518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12518With loss 0.1267430099331721
epoch: 12519
Epoch 12519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12519With loss 0.1267430099331721
epoch: 12520
Epoch 12520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12520With loss 0.1267430099331721
epoch: 12521
Epoch 12521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12521With loss 0.1267430099331721
epoch: 12522
Epoch 12522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12522With loss 0.1267430099331721
epoch: 12523
Epoch 12523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12523With loss 0.1267430099331721
epoch: 12524
Epoch 12524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12524With loss 0.1267430099331721
epoch: 12525
Epoch 12525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12525With loss 0.1267430099331721
epoch: 12526
Epoch 12526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12526With loss 0.1267430099331721
epoch: 12527
Epoch 12527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12527With loss 0.1267430099331721
epoch: 12528
Epoch 12528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12528With loss 0.1267430099331721
epoch: 12529
Epoch 12529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12529With loss 0.1267430099331721
epoch: 12530
Epoch 12530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12530With loss 0.1267430099331721
epoch: 12531
Epoch 12531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12531With loss 0.1267430099331721
epoch: 12532
Epoch 12532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12532With loss 0.1267430099331721
epoch: 12533
Epoch 12533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12533With loss 0.1267430099331721
epoch: 12534
Epoch 12534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12534With loss 0.1267430099331721
epoch: 12535
Epoch 12535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12535With loss 0.1267430099331721
epoch: 12536
Epoch 12536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12536With loss 0.1267430099331721
epoch: 12537
Epoch 12537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12537With loss 0.1267430099331721
epoch: 12538
Epoch 12538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12538With loss 0.1267430099331721
epoch: 12539
Epoch 12539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12539With loss 0.1267430099331721
epoch: 12540
Epoch 12540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12540With loss 0.1267430099331721
epoch: 12541
Epoch 12541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12541With loss 0.1267430099331721
epoch: 12542
Epoch 12542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12542With loss 0.1267430099331721
epoch: 12543
Epoch 12543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12543With loss 0.1267430099331721
epoch: 12544
Epoch 12544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12544With loss 0.1267430099331721
epoch: 12545
Epoch 12545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12545With loss 0.1267430099331721
epoch: 12546
Epoch 12546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12546With loss 0.1267430099331721
epoch: 12547
Epoch 12547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12547With loss 0.1267430099331721
epoch: 12548
Epoch 12548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12548With loss 0.1267430099331721
epoch: 12549
Epoch 12549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12549With loss 0.1267430099331721
epoch: 12550
Epoch 12550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12550With loss 0.1267430099331721
epoch: 12551
Epoch 12551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12551With loss 0.1267430099331721
epoch: 12552
Epoch 12552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12552With loss 0.1267430099331721
epoch: 12553
Epoch 12553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12553With loss 0.1267430099331721
epoch: 12554
Epoch 12554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12554With loss 0.1267430099331721
epoch: 12555
Epoch 12555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12555With loss 0.1267430099331721
epoch: 12556
Epoch 12556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12556With loss 0.1267430099331721
epoch: 12557
Epoch 12557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12557With loss 0.1267430099331721
epoch: 12558
Epoch 12558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12558With loss 0.1267430099331721
epoch: 12559
Epoch 12559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12559With loss 0.1267430099331721
epoch: 12560
Epoch 12560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12560With loss 0.1267430099331721
epoch: 12561
Epoch 12561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12561With loss 0.1267430099331721
epoch: 12562
Epoch 12562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12562With loss 0.1267430099331721
epoch: 12563
Epoch 12563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12563With loss 0.1267430099331721
epoch: 12564
Epoch 12564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12564With loss 0.1267430099331721
epoch: 12565
Epoch 12565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12565With loss 0.1267430099331721
epoch: 12566
Epoch 12566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12566With loss 0.1267430099331721
epoch: 12567
Epoch 12567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12567With loss 0.1267430099331721
epoch: 12568
Epoch 12568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12568With loss 0.1267430099331721
epoch: 12569
Epoch 12569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12569With loss 0.1267430099331721
epoch: 12570
Epoch 12570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12570With loss 0.1267430099331721
epoch: 12571
Epoch 12571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12571With loss 0.1267430099331721
epoch: 12572
Epoch 12572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12572With loss 0.1267430099331721
epoch: 12573
Epoch 12573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12573With loss 0.1267430099331721
epoch: 12574
Epoch 12574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12574With loss 0.1267430099331721
epoch: 12575
Epoch 12575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12575With loss 0.1267430099331721
epoch: 12576
Epoch 12576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12576With loss 0.1267430099331721
epoch: 12577
Epoch 12577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12577With loss 0.1267430099331721
epoch: 12578
Epoch 12578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12578With loss 0.1267430099331721
epoch: 12579
Epoch 12579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12579With loss 0.1267430099331721
epoch: 12580
Epoch 12580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12580With loss 0.1267430099331721
epoch: 12581
Epoch 12581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12581With loss 0.1267430099331721
epoch: 12582
Epoch 12582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12582With loss 0.1267430099331721
epoch: 12583
Epoch 12583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12583With loss 0.1267430099331721
epoch: 12584
Epoch 12584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12584With loss 0.1267430099331721
epoch: 12585
Epoch 12585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12585With loss 0.1267430099331721
epoch: 12586
Epoch 12586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12586With loss 0.1267430099331721
epoch: 12587
Epoch 12587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12587With loss 0.1267430099331721
epoch: 12588
Epoch 12588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12588With loss 0.1267430099331721
epoch: 12589
Epoch 12589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12589With loss 0.1267430099331721
epoch: 12590
Epoch 12590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12590With loss 0.1267430099331721
epoch: 12591
Epoch 12591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12591With loss 0.1267430099331721
epoch: 12592
Epoch 12592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12592With loss 0.1267430099331721
epoch: 12593
Epoch 12593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12593With loss 0.1267430099331721
epoch: 12594
Epoch 12594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12594With loss 0.1267430099331721
epoch: 12595
Epoch 12595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12595With loss 0.1267430099331721
epoch: 12596
Epoch 12596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12596With loss 0.1267430099331721
epoch: 12597
Epoch 12597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12597With loss 0.1267430099331721
epoch: 12598
Epoch 12598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12598With loss 0.1267430099331721
epoch: 12599
Epoch 12599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12599With loss 0.1267430099331721
epoch: 12600
Epoch 12600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12600With loss 0.1267430099331721
epoch: 12601
Epoch 12601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12601With loss 0.1267430099331721
epoch: 12602
Epoch 12602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12602With loss 0.1267430099331721
epoch: 12603
Epoch 12603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12603With loss 0.1267430099331721
epoch: 12604
Epoch 12604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12604With loss 0.1267430099331721
epoch: 12605
Epoch 12605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12605With loss 0.1267430099331721
epoch: 12606
Epoch 12606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12606With loss 0.1267430099331721
epoch: 12607
Epoch 12607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12607With loss 0.1267430099331721
epoch: 12608
Epoch 12608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12608With loss 0.1267430099331721
epoch: 12609
Epoch 12609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12609With loss 0.1267430099331721
epoch: 12610
Epoch 12610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12610With loss 0.1267430099331721
epoch: 12611
Epoch 12611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12611With loss 0.1267430099331721
epoch: 12612
Epoch 12612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12612With loss 0.1267430099331721
epoch: 12613
Epoch 12613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12613With loss 0.1267430099331721
epoch: 12614
Epoch 12614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12614With loss 0.1267430099331721
epoch: 12615
Epoch 12615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12615With loss 0.1267430099331721
epoch: 12616
Epoch 12616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12616With loss 0.1267430099331721
epoch: 12617
Epoch 12617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12617With loss 0.1267430099331721
epoch: 12618
Epoch 12618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12618With loss 0.1267430099331721
epoch: 12619
Epoch 12619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12619With loss 0.1267430099331721
epoch: 12620
Epoch 12620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12620With loss 0.1267430099331721
epoch: 12621
Epoch 12621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12621With loss 0.1267430099331721
epoch: 12622
Epoch 12622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12622With loss 0.1267430099331721
epoch: 12623
Epoch 12623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12623With loss 0.1267430099331721
epoch: 12624
Epoch 12624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12624With loss 0.1267430099331721
epoch: 12625
Epoch 12625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12625With loss 0.1267430099331721
epoch: 12626
Epoch 12626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12626With loss 0.1267430099331721
epoch: 12627
Epoch 12627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12627With loss 0.1267430099331721
epoch: 12628
Epoch 12628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12628With loss 0.1267430099331721
epoch: 12629
Epoch 12629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12629With loss 0.1267430099331721
epoch: 12630
Epoch 12630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12630With loss 0.1267430099331721
epoch: 12631
Epoch 12631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12631With loss 0.1267430099331721
epoch: 12632
Epoch 12632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12632With loss 0.1267430099331721
epoch: 12633
Epoch 12633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12633With loss 0.1267430099331721
epoch: 12634
Epoch 12634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12634With loss 0.1267430099331721
epoch: 12635
Epoch 12635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12635With loss 0.1267430099331721
epoch: 12636
Epoch 12636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12636With loss 0.1267430099331721
epoch: 12637
Epoch 12637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12637With loss 0.1267430099331721
epoch: 12638
Epoch 12638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12638With loss 0.1267430099331721
epoch: 12639
Epoch 12639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12639With loss 0.1267430099331721
epoch: 12640
Epoch 12640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12640With loss 0.1267430099331721
epoch: 12641
Epoch 12641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12641With loss 0.1267430099331721
epoch: 12642
Epoch 12642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12642With loss 0.1267430099331721
epoch: 12643
Epoch 12643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12643With loss 0.1267430099331721
epoch: 12644
Epoch 12644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12644With loss 0.1267430099331721
epoch: 12645
Epoch 12645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12645With loss 0.1267430099331721
epoch: 12646
Epoch 12646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12646With loss 0.1267430099331721
epoch: 12647
Epoch 12647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12647With loss 0.1267430099331721
epoch: 12648
Epoch 12648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12648With loss 0.1267430099331721
epoch: 12649
Epoch 12649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12649With loss 0.1267430099331721
epoch: 12650
Epoch 12650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12650With loss 0.1267430099331721
epoch: 12651
Epoch 12651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12651With loss 0.1267430099331721
epoch: 12652
Epoch 12652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12652With loss 0.1267430099331721
epoch: 12653
Epoch 12653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12653With loss 0.1267430099331721
epoch: 12654
Epoch 12654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12654With loss 0.1267430099331721
epoch: 12655
Epoch 12655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12655With loss 0.1267430099331721
epoch: 12656
Epoch 12656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12656With loss 0.1267430099331721
epoch: 12657
Epoch 12657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12657With loss 0.1267430099331721
epoch: 12658
Epoch 12658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12658With loss 0.1267430099331721
epoch: 12659
Epoch 12659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12659With loss 0.1267430099331721
epoch: 12660
Epoch 12660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12660With loss 0.1267430099331721
epoch: 12661
Epoch 12661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12661With loss 0.1267430099331721
epoch: 12662
Epoch 12662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12662With loss 0.1267430099331721
epoch: 12663
Epoch 12663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12663With loss 0.1267430099331721
epoch: 12664
Epoch 12664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12664With loss 0.1267430099331721
epoch: 12665
Epoch 12665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12665With loss 0.1267430099331721
epoch: 12666
Epoch 12666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12666With loss 0.1267430099331721
epoch: 12667
Epoch 12667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12667With loss 0.1267430099331721
epoch: 12668
Epoch 12668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12668With loss 0.1267430099331721
epoch: 12669
Epoch 12669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12669With loss 0.1267430099331721
epoch: 12670
Epoch 12670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12670With loss 0.1267430099331721
epoch: 12671
Epoch 12671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12671With loss 0.1267430099331721
epoch: 12672
Epoch 12672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12672With loss 0.1267430099331721
epoch: 12673
Epoch 12673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12673With loss 0.1267430099331721
epoch: 12674
Epoch 12674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12674With loss 0.1267430099331721
epoch: 12675
Epoch 12675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12675With loss 0.1267430099331721
epoch: 12676
Epoch 12676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12676With loss 0.1267430099331721
epoch: 12677
Epoch 12677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12677With loss 0.1267430099331721
epoch: 12678
Epoch 12678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12678With loss 0.1267430099331721
epoch: 12679
Epoch 12679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12679With loss 0.1267430099331721
epoch: 12680
Epoch 12680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12680With loss 0.1267430099331721
epoch: 12681
Epoch 12681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12681With loss 0.1267430099331721
epoch: 12682
Epoch 12682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12682With loss 0.1267430099331721
epoch: 12683
Epoch 12683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12683With loss 0.1267430099331721
epoch: 12684
Epoch 12684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12684With loss 0.1267430099331721
epoch: 12685
Epoch 12685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12685With loss 0.1267430099331721
epoch: 12686
Epoch 12686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12686With loss 0.1267430099331721
epoch: 12687
Epoch 12687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12687With loss 0.1267430099331721
epoch: 12688
Epoch 12688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12688With loss 0.1267430099331721
epoch: 12689
Epoch 12689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12689With loss 0.1267430099331721
epoch: 12690
Epoch 12690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12690With loss 0.1267430099331721
epoch: 12691
Epoch 12691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12691With loss 0.1267430099331721
epoch: 12692
Epoch 12692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12692With loss 0.1267430099331721
epoch: 12693
Epoch 12693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12693With loss 0.1267430099331721
epoch: 12694
Epoch 12694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12694With loss 0.1267430099331721
epoch: 12695
Epoch 12695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12695With loss 0.1267430099331721
epoch: 12696
Epoch 12696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12696With loss 0.1267430099331721
epoch: 12697
Epoch 12697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12697With loss 0.1267430099331721
epoch: 12698
Epoch 12698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12698With loss 0.1267430099331721
epoch: 12699
Epoch 12699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12699With loss 0.1267430099331721
epoch: 12700
Epoch 12700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12700With loss 0.1267430099331721
epoch: 12701
Epoch 12701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12701With loss 0.1267430099331721
epoch: 12702
Epoch 12702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12702With loss 0.1267430099331721
epoch: 12703
Epoch 12703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12703With loss 0.1267430099331721
epoch: 12704
Epoch 12704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12704With loss 0.1267430099331721
epoch: 12705
Epoch 12705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12705With loss 0.1267430099331721
epoch: 12706
Epoch 12706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12706With loss 0.1267430099331721
epoch: 12707
Epoch 12707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12707With loss 0.1267430099331721
epoch: 12708
Epoch 12708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12708With loss 0.1267430099331721
epoch: 12709
Epoch 12709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12709With loss 0.1267430099331721
epoch: 12710
Epoch 12710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12710With loss 0.1267430099331721
epoch: 12711
Epoch 12711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12711With loss 0.1267430099331721
epoch: 12712
Epoch 12712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12712With loss 0.1267430099331721
epoch: 12713
Epoch 12713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12713With loss 0.1267430099331721
epoch: 12714
Epoch 12714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12714With loss 0.1267430099331721
epoch: 12715
Epoch 12715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12715With loss 0.1267430099331721
epoch: 12716
Epoch 12716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12716With loss 0.1267430099331721
epoch: 12717
Epoch 12717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12717With loss 0.1267430099331721
epoch: 12718
Epoch 12718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12718With loss 0.1267430099331721
epoch: 12719
Epoch 12719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12719With loss 0.1267430099331721
epoch: 12720
Epoch 12720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12720With loss 0.1267430099331721
epoch: 12721
Epoch 12721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12721With loss 0.1267430099331721
epoch: 12722
Epoch 12722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12722With loss 0.1267430099331721
epoch: 12723
Epoch 12723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12723With loss 0.1267430099331721
epoch: 12724
Epoch 12724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12724With loss 0.1267430099331721
epoch: 12725
Epoch 12725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12725With loss 0.1267430099331721
epoch: 12726
Epoch 12726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12726With loss 0.1267430099331721
epoch: 12727
Epoch 12727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12727With loss 0.1267430099331721
epoch: 12728
Epoch 12728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12728With loss 0.1267430099331721
epoch: 12729
Epoch 12729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12729With loss 0.1267430099331721
epoch: 12730
Epoch 12730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12730With loss 0.1267430099331721
epoch: 12731
Epoch 12731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12731With loss 0.1267430099331721
epoch: 12732
Epoch 12732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12732With loss 0.1267430099331721
epoch: 12733
Epoch 12733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12733With loss 0.1267430099331721
epoch: 12734
Epoch 12734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12734With loss 0.1267430099331721
epoch: 12735
Epoch 12735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12735With loss 0.1267430099331721
epoch: 12736
Epoch 12736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12736With loss 0.1267430099331721
epoch: 12737
Epoch 12737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12737With loss 0.1267430099331721
epoch: 12738
Epoch 12738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12738With loss 0.1267430099331721
epoch: 12739
Epoch 12739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12739With loss 0.1267430099331721
epoch: 12740
Epoch 12740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12740With loss 0.1267430099331721
epoch: 12741
Epoch 12741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12741With loss 0.1267430099331721
epoch: 12742
Epoch 12742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12742With loss 0.1267430099331721
epoch: 12743
Epoch 12743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12743With loss 0.1267430099331721
epoch: 12744
Epoch 12744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12744With loss 0.1267430099331721
epoch: 12745
Epoch 12745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12745With loss 0.1267430099331721
epoch: 12746
Epoch 12746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12746With loss 0.1267430099331721
epoch: 12747
Epoch 12747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12747With loss 0.1267430099331721
epoch: 12748
Epoch 12748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12748With loss 0.1267430099331721
epoch: 12749
Epoch 12749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12749With loss 0.1267430099331721
epoch: 12750
Epoch 12750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12750With loss 0.1267430099331721
epoch: 12751
Epoch 12751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12751With loss 0.1267430099331721
epoch: 12752
Epoch 12752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12752With loss 0.1267430099331721
epoch: 12753
Epoch 12753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12753With loss 0.1267430099331721
epoch: 12754
Epoch 12754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12754With loss 0.1267430099331721
epoch: 12755
Epoch 12755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12755With loss 0.1267430099331721
epoch: 12756
Epoch 12756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12756With loss 0.1267430099331721
epoch: 12757
Epoch 12757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12757With loss 0.1267430099331721
epoch: 12758
Epoch 12758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12758With loss 0.1267430099331721
epoch: 12759
Epoch 12759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12759With loss 0.1267430099331721
epoch: 12760
Epoch 12760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12760With loss 0.1267430099331721
epoch: 12761
Epoch 12761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12761With loss 0.1267430099331721
epoch: 12762
Epoch 12762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12762With loss 0.1267430099331721
epoch: 12763
Epoch 12763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12763With loss 0.1267430099331721
epoch: 12764
Epoch 12764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12764With loss 0.1267430099331721
epoch: 12765
Epoch 12765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12765With loss 0.1267430099331721
epoch: 12766
Epoch 12766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12766With loss 0.1267430099331721
epoch: 12767
Epoch 12767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12767With loss 0.1267430099331721
epoch: 12768
Epoch 12768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12768With loss 0.1267430099331721
epoch: 12769
Epoch 12769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12769With loss 0.1267430099331721
epoch: 12770
Epoch 12770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12770With loss 0.1267430099331721
epoch: 12771
Epoch 12771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12771With loss 0.1267430099331721
epoch: 12772
Epoch 12772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12772With loss 0.1267430099331721
epoch: 12773
Epoch 12773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12773With loss 0.1267430099331721
epoch: 12774
Epoch 12774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12774With loss 0.1267430099331721
epoch: 12775
Epoch 12775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12775With loss 0.1267430099331721
epoch: 12776
Epoch 12776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12776With loss 0.1267430099331721
epoch: 12777
Epoch 12777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12777With loss 0.1267430099331721
epoch: 12778
Epoch 12778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12778With loss 0.1267430099331721
epoch: 12779
Epoch 12779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12779With loss 0.1267430099331721
epoch: 12780
Epoch 12780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12780With loss 0.1267430099331721
epoch: 12781
Epoch 12781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12781With loss 0.1267430099331721
epoch: 12782
Epoch 12782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12782With loss 0.1267430099331721
epoch: 12783
Epoch 12783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12783With loss 0.1267430099331721
epoch: 12784
Epoch 12784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12784With loss 0.1267430099331721
epoch: 12785
Epoch 12785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12785With loss 0.1267430099331721
epoch: 12786
Epoch 12786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12786With loss 0.1267430099331721
epoch: 12787
Epoch 12787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12787With loss 0.1267430099331721
epoch: 12788
Epoch 12788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12788With loss 0.1267430099331721
epoch: 12789
Epoch 12789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12789With loss 0.1267430099331721
epoch: 12790
Epoch 12790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12790With loss 0.1267430099331721
epoch: 12791
Epoch 12791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12791With loss 0.1267430099331721
epoch: 12792
Epoch 12792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12792With loss 0.1267430099331721
epoch: 12793
Epoch 12793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12793With loss 0.1267430099331721
epoch: 12794
Epoch 12794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12794With loss 0.1267430099331721
epoch: 12795
Epoch 12795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12795With loss 0.1267430099331721
epoch: 12796
Epoch 12796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12796With loss 0.1267430099331721
epoch: 12797
Epoch 12797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12797With loss 0.1267430099331721
epoch: 12798
Epoch 12798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12798With loss 0.1267430099331721
epoch: 12799
Epoch 12799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12799With loss 0.1267430099331721
epoch: 12800
Epoch 12800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12800With loss 0.1267430099331721
epoch: 12801
Epoch 12801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12801With loss 0.1267430099331721
epoch: 12802
Epoch 12802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12802With loss 0.1267430099331721
epoch: 12803
Epoch 12803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12803With loss 0.1267430099331721
epoch: 12804
Epoch 12804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12804With loss 0.1267430099331721
epoch: 12805
Epoch 12805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12805With loss 0.1267430099331721
epoch: 12806
Epoch 12806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12806With loss 0.1267430099331721
epoch: 12807
Epoch 12807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12807With loss 0.1267430099331721
epoch: 12808
Epoch 12808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12808With loss 0.1267430099331721
epoch: 12809
Epoch 12809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12809With loss 0.1267430099331721
epoch: 12810
Epoch 12810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12810With loss 0.1267430099331721
epoch: 12811
Epoch 12811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12811With loss 0.1267430099331721
epoch: 12812
Epoch 12812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12812With loss 0.1267430099331721
epoch: 12813
Epoch 12813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12813With loss 0.1267430099331721
epoch: 12814
Epoch 12814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12814With loss 0.1267430099331721
epoch: 12815
Epoch 12815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12815With loss 0.1267430099331721
epoch: 12816
Epoch 12816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12816With loss 0.1267430099331721
epoch: 12817
Epoch 12817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12817With loss 0.1267430099331721
epoch: 12818
Epoch 12818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12818With loss 0.1267430099331721
epoch: 12819
Epoch 12819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12819With loss 0.1267430099331721
epoch: 12820
Epoch 12820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12820With loss 0.1267430099331721
epoch: 12821
Epoch 12821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12821With loss 0.1267430099331721
epoch: 12822
Epoch 12822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12822With loss 0.1267430099331721
epoch: 12823
Epoch 12823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12823With loss 0.1267430099331721
epoch: 12824
Epoch 12824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12824With loss 0.1267430099331721
epoch: 12825
Epoch 12825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12825With loss 0.1267430099331721
epoch: 12826
Epoch 12826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12826With loss 0.1267430099331721
epoch: 12827
Epoch 12827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12827With loss 0.1267430099331721
epoch: 12828
Epoch 12828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12828With loss 0.1267430099331721
epoch: 12829
Epoch 12829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12829With loss 0.1267430099331721
epoch: 12830
Epoch 12830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12830With loss 0.1267430099331721
epoch: 12831
Epoch 12831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12831With loss 0.1267430099331721
epoch: 12832
Epoch 12832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12832With loss 0.1267430099331721
epoch: 12833
Epoch 12833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12833With loss 0.1267430099331721
epoch: 12834
Epoch 12834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12834With loss 0.1267430099331721
epoch: 12835
Epoch 12835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12835With loss 0.1267430099331721
epoch: 12836
Epoch 12836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12836With loss 0.1267430099331721
epoch: 12837
Epoch 12837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12837With loss 0.1267430099331721
epoch: 12838
Epoch 12838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12838With loss 0.1267430099331721
epoch: 12839
Epoch 12839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12839With loss 0.1267430099331721
epoch: 12840
Epoch 12840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12840With loss 0.1267430099331721
epoch: 12841
Epoch 12841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12841With loss 0.1267430099331721
epoch: 12842
Epoch 12842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12842With loss 0.1267430099331721
epoch: 12843
Epoch 12843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12843With loss 0.1267430099331721
epoch: 12844
Epoch 12844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12844With loss 0.1267430099331721
epoch: 12845
Epoch 12845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12845With loss 0.1267430099331721
epoch: 12846
Epoch 12846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12846With loss 0.1267430099331721
epoch: 12847
Epoch 12847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12847With loss 0.1267430099331721
epoch: 12848
Epoch 12848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12848With loss 0.1267430099331721
epoch: 12849
Epoch 12849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12849With loss 0.1267430099331721
epoch: 12850
Epoch 12850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12850With loss 0.1267430099331721
epoch: 12851
Epoch 12851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12851With loss 0.1267430099331721
epoch: 12852
Epoch 12852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12852With loss 0.1267430099331721
epoch: 12853
Epoch 12853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12853With loss 0.1267430099331721
epoch: 12854
Epoch 12854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12854With loss 0.1267430099331721
epoch: 12855
Epoch 12855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12855With loss 0.1267430099331721
epoch: 12856
Epoch 12856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12856With loss 0.1267430099331721
epoch: 12857
Epoch 12857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12857With loss 0.1267430099331721
epoch: 12858
Epoch 12858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12858With loss 0.1267430099331721
epoch: 12859
Epoch 12859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12859With loss 0.1267430099331721
epoch: 12860
Epoch 12860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12860With loss 0.1267430099331721
epoch: 12861
Epoch 12861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12861With loss 0.1267430099331721
epoch: 12862
Epoch 12862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12862With loss 0.1267430099331721
epoch: 12863
Epoch 12863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12863With loss 0.1267430099331721
epoch: 12864
Epoch 12864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12864With loss 0.1267430099331721
epoch: 12865
Epoch 12865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12865With loss 0.1267430099331721
epoch: 12866
Epoch 12866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12866With loss 0.1267430099331721
epoch: 12867
Epoch 12867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12867With loss 0.1267430099331721
epoch: 12868
Epoch 12868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12868With loss 0.1267430099331721
epoch: 12869
Epoch 12869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12869With loss 0.1267430099331721
epoch: 12870
Epoch 12870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12870With loss 0.1267430099331721
epoch: 12871
Epoch 12871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12871With loss 0.1267430099331721
epoch: 12872
Epoch 12872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12872With loss 0.1267430099331721
epoch: 12873
Epoch 12873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12873With loss 0.1267430099331721
epoch: 12874
Epoch 12874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12874With loss 0.1267430099331721
epoch: 12875
Epoch 12875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12875With loss 0.1267430099331721
epoch: 12876
Epoch 12876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12876With loss 0.1267430099331721
epoch: 12877
Epoch 12877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12877With loss 0.1267430099331721
epoch: 12878
Epoch 12878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12878With loss 0.1267430099331721
epoch: 12879
Epoch 12879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12879With loss 0.1267430099331721
epoch: 12880
Epoch 12880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12880With loss 0.1267430099331721
epoch: 12881
Epoch 12881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12881With loss 0.1267430099331721
epoch: 12882
Epoch 12882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12882With loss 0.1267430099331721
epoch: 12883
Epoch 12883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12883With loss 0.1267430099331721
epoch: 12884
Epoch 12884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12884With loss 0.1267430099331721
epoch: 12885
Epoch 12885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12885With loss 0.1267430099331721
epoch: 12886
Epoch 12886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12886With loss 0.1267430099331721
epoch: 12887
Epoch 12887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12887With loss 0.1267430099331721
epoch: 12888
Epoch 12888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12888With loss 0.1267430099331721
epoch: 12889
Epoch 12889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12889With loss 0.1267430099331721
epoch: 12890
Epoch 12890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12890With loss 0.1267430099331721
epoch: 12891
Epoch 12891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12891With loss 0.1267430099331721
epoch: 12892
Epoch 12892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12892With loss 0.1267430099331721
epoch: 12893
Epoch 12893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12893With loss 0.1267430099331721
epoch: 12894
Epoch 12894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12894With loss 0.1267430099331721
epoch: 12895
Epoch 12895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12895With loss 0.1267430099331721
epoch: 12896
Epoch 12896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12896With loss 0.1267430099331721
epoch: 12897
Epoch 12897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12897With loss 0.1267430099331721
epoch: 12898
Epoch 12898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12898With loss 0.1267430099331721
epoch: 12899
Epoch 12899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12899With loss 0.1267430099331721
epoch: 12900
Epoch 12900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12900With loss 0.1267430099331721
epoch: 12901
Epoch 12901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12901With loss 0.1267430099331721
epoch: 12902
Epoch 12902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12902With loss 0.1267430099331721
epoch: 12903
Epoch 12903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12903With loss 0.1267430099331721
epoch: 12904
Epoch 12904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12904With loss 0.1267430099331721
epoch: 12905
Epoch 12905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12905With loss 0.1267430099331721
epoch: 12906
Epoch 12906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12906With loss 0.1267430099331721
epoch: 12907
Epoch 12907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12907With loss 0.1267430099331721
epoch: 12908
Epoch 12908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12908With loss 0.1267430099331721
epoch: 12909
Epoch 12909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12909With loss 0.1267430099331721
epoch: 12910
Epoch 12910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12910With loss 0.1267430099331721
epoch: 12911
Epoch 12911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12911With loss 0.1267430099331721
epoch: 12912
Epoch 12912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12912With loss 0.1267430099331721
epoch: 12913
Epoch 12913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12913With loss 0.1267430099331721
epoch: 12914
Epoch 12914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12914With loss 0.1267430099331721
epoch: 12915
Epoch 12915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12915With loss 0.1267430099331721
epoch: 12916
Epoch 12916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12916With loss 0.1267430099331721
epoch: 12917
Epoch 12917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12917With loss 0.1267430099331721
epoch: 12918
Epoch 12918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12918With loss 0.1267430099331721
epoch: 12919
Epoch 12919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12919With loss 0.1267430099331721
epoch: 12920
Epoch 12920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12920With loss 0.1267430099331721
epoch: 12921
Epoch 12921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12921With loss 0.1267430099331721
epoch: 12922
Epoch 12922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12922With loss 0.1267430099331721
epoch: 12923
Epoch 12923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12923With loss 0.1267430099331721
epoch: 12924
Epoch 12924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12924With loss 0.1267430099331721
epoch: 12925
Epoch 12925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12925With loss 0.1267430099331721
epoch: 12926
Epoch 12926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12926With loss 0.1267430099331721
epoch: 12927
Epoch 12927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12927With loss 0.1267430099331721
epoch: 12928
Epoch 12928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12928With loss 0.1267430099331721
epoch: 12929
Epoch 12929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12929With loss 0.1267430099331721
epoch: 12930
Epoch 12930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12930With loss 0.1267430099331721
epoch: 12931
Epoch 12931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12931With loss 0.1267430099331721
epoch: 12932
Epoch 12932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12932With loss 0.1267430099331721
epoch: 12933
Epoch 12933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12933With loss 0.1267430099331721
epoch: 12934
Epoch 12934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12934With loss 0.1267430099331721
epoch: 12935
Epoch 12935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12935With loss 0.1267430099331721
epoch: 12936
Epoch 12936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12936With loss 0.1267430099331721
epoch: 12937
Epoch 12937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12937With loss 0.1267430099331721
epoch: 12938
Epoch 12938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12938With loss 0.1267430099331721
epoch: 12939
Epoch 12939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12939With loss 0.1267430099331721
epoch: 12940
Epoch 12940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12940With loss 0.1267430099331721
epoch: 12941
Epoch 12941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12941With loss 0.1267430099331721
epoch: 12942
Epoch 12942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12942With loss 0.1267430099331721
epoch: 12943
Epoch 12943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12943With loss 0.1267430099331721
epoch: 12944
Epoch 12944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12944With loss 0.1267430099331721
epoch: 12945
Epoch 12945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12945With loss 0.1267430099331721
epoch: 12946
Epoch 12946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12946With loss 0.1267430099331721
epoch: 12947
Epoch 12947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12947With loss 0.1267430099331721
epoch: 12948
Epoch 12948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12948With loss 0.1267430099331721
epoch: 12949
Epoch 12949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12949With loss 0.1267430099331721
epoch: 12950
Epoch 12950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12950With loss 0.1267430099331721
epoch: 12951
Epoch 12951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12951With loss 0.1267430099331721
epoch: 12952
Epoch 12952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12952With loss 0.1267430099331721
epoch: 12953
Epoch 12953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12953With loss 0.1267430099331721
epoch: 12954
Epoch 12954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12954With loss 0.1267430099331721
epoch: 12955
Epoch 12955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12955With loss 0.1267430099331721
epoch: 12956
Epoch 12956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12956With loss 0.1267430099331721
epoch: 12957
Epoch 12957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12957With loss 0.1267430099331721
epoch: 12958
Epoch 12958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12958With loss 0.1267430099331721
epoch: 12959
Epoch 12959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12959With loss 0.1267430099331721
epoch: 12960
Epoch 12960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12960With loss 0.1267430099331721
epoch: 12961
Epoch 12961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12961With loss 0.1267430099331721
epoch: 12962
Epoch 12962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12962With loss 0.1267430099331721
epoch: 12963
Epoch 12963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12963With loss 0.1267430099331721
epoch: 12964
Epoch 12964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12964With loss 0.1267430099331721
epoch: 12965
Epoch 12965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12965With loss 0.1267430099331721
epoch: 12966
Epoch 12966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12966With loss 0.1267430099331721
epoch: 12967
Epoch 12967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12967With loss 0.1267430099331721
epoch: 12968
Epoch 12968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12968With loss 0.1267430099331721
epoch: 12969
Epoch 12969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12969With loss 0.1267430099331721
epoch: 12970
Epoch 12970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12970With loss 0.1267430099331721
epoch: 12971
Epoch 12971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12971With loss 0.1267430099331721
epoch: 12972
Epoch 12972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12972With loss 0.1267430099331721
epoch: 12973
Epoch 12973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12973With loss 0.1267430099331721
epoch: 12974
Epoch 12974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12974With loss 0.1267430099331721
epoch: 12975
Epoch 12975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12975With loss 0.1267430099331721
epoch: 12976
Epoch 12976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12976With loss 0.1267430099331721
epoch: 12977
Epoch 12977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12977With loss 0.1267430099331721
epoch: 12978
Epoch 12978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12978With loss 0.1267430099331721
epoch: 12979
Epoch 12979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12979With loss 0.1267430099331721
epoch: 12980
Epoch 12980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12980With loss 0.1267430099331721
epoch: 12981
Epoch 12981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12981With loss 0.1267430099331721
epoch: 12982
Epoch 12982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12982With loss 0.1267430099331721
epoch: 12983
Epoch 12983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12983With loss 0.1267430099331721
epoch: 12984
Epoch 12984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12984With loss 0.1267430099331721
epoch: 12985
Epoch 12985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12985With loss 0.1267430099331721
epoch: 12986
Epoch 12986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12986With loss 0.1267430099331721
epoch: 12987
Epoch 12987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12987With loss 0.1267430099331721
epoch: 12988
Epoch 12988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12988With loss 0.1267430099331721
epoch: 12989
Epoch 12989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12989With loss 0.1267430099331721
epoch: 12990
Epoch 12990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12990With loss 0.1267430099331721
epoch: 12991
Epoch 12991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12991With loss 0.1267430099331721
epoch: 12992
Epoch 12992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12992With loss 0.1267430099331721
epoch: 12993
Epoch 12993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12993With loss 0.1267430099331721
epoch: 12994
Epoch 12994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12994With loss 0.1267430099331721
epoch: 12995
Epoch 12995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12995With loss 0.1267430099331721
epoch: 12996
Epoch 12996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12996With loss 0.1267430099331721
epoch: 12997
Epoch 12997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12997With loss 0.1267430099331721
epoch: 12998
Epoch 12998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12998With loss 0.1267430099331721
epoch: 12999
Epoch 12999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 12999With loss 0.1267430099331721
epoch: 13000
Epoch 13000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13000With loss 0.1267430099331721
epoch: 13001
Epoch 13001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13001With loss 0.1267430099331721
epoch: 13002
Epoch 13002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13002With loss 0.1267430099331721
epoch: 13003
Epoch 13003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13003With loss 0.1267430099331721
epoch: 13004
Epoch 13004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13004With loss 0.1267430099331721
epoch: 13005
Epoch 13005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13005With loss 0.1267430099331721
epoch: 13006
Epoch 13006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13006With loss 0.1267430099331721
epoch: 13007
Epoch 13007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13007With loss 0.1267430099331721
epoch: 13008
Epoch 13008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13008With loss 0.1267430099331721
epoch: 13009
Epoch 13009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13009With loss 0.1267430099331721
epoch: 13010
Epoch 13010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13010With loss 0.1267430099331721
epoch: 13011
Epoch 13011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13011With loss 0.1267430099331721
epoch: 13012
Epoch 13012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13012With loss 0.1267430099331721
epoch: 13013
Epoch 13013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13013With loss 0.1267430099331721
epoch: 13014
Epoch 13014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13014With loss 0.1267430099331721
epoch: 13015
Epoch 13015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13015With loss 0.1267430099331721
epoch: 13016
Epoch 13016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13016With loss 0.1267430099331721
epoch: 13017
Epoch 13017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13017With loss 0.1267430099331721
epoch: 13018
Epoch 13018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13018With loss 0.1267430099331721
epoch: 13019
Epoch 13019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13019With loss 0.1267430099331721
epoch: 13020
Epoch 13020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13020With loss 0.1267430099331721
epoch: 13021
Epoch 13021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13021With loss 0.1267430099331721
epoch: 13022
Epoch 13022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13022With loss 0.1267430099331721
epoch: 13023
Epoch 13023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13023With loss 0.1267430099331721
epoch: 13024
Epoch 13024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13024With loss 0.1267430099331721
epoch: 13025
Epoch 13025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13025With loss 0.1267430099331721
epoch: 13026
Epoch 13026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13026With loss 0.1267430099331721
epoch: 13027
Epoch 13027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13027With loss 0.1267430099331721
epoch: 13028
Epoch 13028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13028With loss 0.1267430099331721
epoch: 13029
Epoch 13029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13029With loss 0.1267430099331721
epoch: 13030
Epoch 13030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13030With loss 0.1267430099331721
epoch: 13031
Epoch 13031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13031With loss 0.1267430099331721
epoch: 13032
Epoch 13032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13032With loss 0.1267430099331721
epoch: 13033
Epoch 13033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13033With loss 0.1267430099331721
epoch: 13034
Epoch 13034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13034With loss 0.1267430099331721
epoch: 13035
Epoch 13035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13035With loss 0.1267430099331721
epoch: 13036
Epoch 13036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13036With loss 0.1267430099331721
epoch: 13037
Epoch 13037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13037With loss 0.1267430099331721
epoch: 13038
Epoch 13038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13038With loss 0.1267430099331721
epoch: 13039
Epoch 13039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13039With loss 0.1267430099331721
epoch: 13040
Epoch 13040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13040With loss 0.1267430099331721
epoch: 13041
Epoch 13041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13041With loss 0.1267430099331721
epoch: 13042
Epoch 13042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13042With loss 0.1267430099331721
epoch: 13043
Epoch 13043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13043With loss 0.1267430099331721
epoch: 13044
Epoch 13044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13044With loss 0.1267430099331721
epoch: 13045
Epoch 13045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13045With loss 0.1267430099331721
epoch: 13046
Epoch 13046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13046With loss 0.1267430099331721
epoch: 13047
Epoch 13047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13047With loss 0.1267430099331721
epoch: 13048
Epoch 13048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13048With loss 0.1267430099331721
epoch: 13049
Epoch 13049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13049With loss 0.1267430099331721
epoch: 13050
Epoch 13050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13050With loss 0.1267430099331721
epoch: 13051
Epoch 13051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13051With loss 0.1267430099331721
epoch: 13052
Epoch 13052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13052With loss 0.1267430099331721
epoch: 13053
Epoch 13053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13053With loss 0.1267430099331721
epoch: 13054
Epoch 13054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13054With loss 0.1267430099331721
epoch: 13055
Epoch 13055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13055With loss 0.1267430099331721
epoch: 13056
Epoch 13056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13056With loss 0.1267430099331721
epoch: 13057
Epoch 13057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13057With loss 0.1267430099331721
epoch: 13058
Epoch 13058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13058With loss 0.1267430099331721
epoch: 13059
Epoch 13059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13059With loss 0.1267430099331721
epoch: 13060
Epoch 13060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13060With loss 0.1267430099331721
epoch: 13061
Epoch 13061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13061With loss 0.1267430099331721
epoch: 13062
Epoch 13062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13062With loss 0.1267430099331721
epoch: 13063
Epoch 13063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13063With loss 0.1267430099331721
epoch: 13064
Epoch 13064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13064With loss 0.1267430099331721
epoch: 13065
Epoch 13065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13065With loss 0.1267430099331721
epoch: 13066
Epoch 13066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13066With loss 0.1267430099331721
epoch: 13067
Epoch 13067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13067With loss 0.1267430099331721
epoch: 13068
Epoch 13068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13068With loss 0.1267430099331721
epoch: 13069
Epoch 13069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13069With loss 0.1267430099331721
epoch: 13070
Epoch 13070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13070With loss 0.1267430099331721
epoch: 13071
Epoch 13071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13071With loss 0.1267430099331721
epoch: 13072
Epoch 13072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13072With loss 0.1267430099331721
epoch: 13073
Epoch 13073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13073With loss 0.1267430099331721
epoch: 13074
Epoch 13074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13074With loss 0.1267430099331721
epoch: 13075
Epoch 13075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13075With loss 0.1267430099331721
epoch: 13076
Epoch 13076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13076With loss 0.1267430099331721
epoch: 13077
Epoch 13077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13077With loss 0.1267430099331721
epoch: 13078
Epoch 13078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13078With loss 0.1267430099331721
epoch: 13079
Epoch 13079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13079With loss 0.1267430099331721
epoch: 13080
Epoch 13080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13080With loss 0.1267430099331721
epoch: 13081
Epoch 13081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13081With loss 0.1267430099331721
epoch: 13082
Epoch 13082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13082With loss 0.1267430099331721
epoch: 13083
Epoch 13083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13083With loss 0.1267430099331721
epoch: 13084
Epoch 13084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13084With loss 0.1267430099331721
epoch: 13085
Epoch 13085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13085With loss 0.1267430099331721
epoch: 13086
Epoch 13086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13086With loss 0.1267430099331721
epoch: 13087
Epoch 13087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13087With loss 0.1267430099331721
epoch: 13088
Epoch 13088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13088With loss 0.1267430099331721
epoch: 13089
Epoch 13089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13089With loss 0.1267430099331721
epoch: 13090
Epoch 13090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13090With loss 0.1267430099331721
epoch: 13091
Epoch 13091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13091With loss 0.1267430099331721
epoch: 13092
Epoch 13092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13092With loss 0.1267430099331721
epoch: 13093
Epoch 13093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13093With loss 0.1267430099331721
epoch: 13094
Epoch 13094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13094With loss 0.1267430099331721
epoch: 13095
Epoch 13095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13095With loss 0.1267430099331721
epoch: 13096
Epoch 13096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13096With loss 0.1267430099331721
epoch: 13097
Epoch 13097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13097With loss 0.1267430099331721
epoch: 13098
Epoch 13098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13098With loss 0.1267430099331721
epoch: 13099
Epoch 13099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13099With loss 0.1267430099331721
epoch: 13100
Epoch 13100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13100With loss 0.1267430099331721
epoch: 13101
Epoch 13101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13101With loss 0.1267430099331721
epoch: 13102
Epoch 13102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13102With loss 0.1267430099331721
epoch: 13103
Epoch 13103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13103With loss 0.1267430099331721
epoch: 13104
Epoch 13104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13104With loss 0.1267430099331721
epoch: 13105
Epoch 13105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13105With loss 0.1267430099331721
epoch: 13106
Epoch 13106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13106With loss 0.1267430099331721
epoch: 13107
Epoch 13107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13107With loss 0.1267430099331721
epoch: 13108
Epoch 13108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13108With loss 0.1267430099331721
epoch: 13109
Epoch 13109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13109With loss 0.1267430099331721
epoch: 13110
Epoch 13110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13110With loss 0.1267430099331721
epoch: 13111
Epoch 13111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13111With loss 0.1267430099331721
epoch: 13112
Epoch 13112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13112With loss 0.1267430099331721
epoch: 13113
Epoch 13113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13113With loss 0.1267430099331721
epoch: 13114
Epoch 13114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13114With loss 0.1267430099331721
epoch: 13115
Epoch 13115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13115With loss 0.1267430099331721
epoch: 13116
Epoch 13116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13116With loss 0.1267430099331721
epoch: 13117
Epoch 13117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13117With loss 0.1267430099331721
epoch: 13118
Epoch 13118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13118With loss 0.1267430099331721
epoch: 13119
Epoch 13119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13119With loss 0.1267430099331721
epoch: 13120
Epoch 13120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13120With loss 0.1267430099331721
epoch: 13121
Epoch 13121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13121With loss 0.1267430099331721
epoch: 13122
Epoch 13122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13122With loss 0.1267430099331721
epoch: 13123
Epoch 13123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13123With loss 0.1267430099331721
epoch: 13124
Epoch 13124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13124With loss 0.1267430099331721
epoch: 13125
Epoch 13125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13125With loss 0.1267430099331721
epoch: 13126
Epoch 13126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13126With loss 0.1267430099331721
epoch: 13127
Epoch 13127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13127With loss 0.1267430099331721
epoch: 13128
Epoch 13128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13128With loss 0.1267430099331721
epoch: 13129
Epoch 13129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13129With loss 0.1267430099331721
epoch: 13130
Epoch 13130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13130With loss 0.1267430099331721
epoch: 13131
Epoch 13131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13131With loss 0.1267430099331721
epoch: 13132
Epoch 13132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13132With loss 0.1267430099331721
epoch: 13133
Epoch 13133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13133With loss 0.1267430099331721
epoch: 13134
Epoch 13134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13134With loss 0.1267430099331721
epoch: 13135
Epoch 13135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13135With loss 0.1267430099331721
epoch: 13136
Epoch 13136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13136With loss 0.1267430099331721
epoch: 13137
Epoch 13137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13137With loss 0.1267430099331721
epoch: 13138
Epoch 13138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13138With loss 0.1267430099331721
epoch: 13139
Epoch 13139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13139With loss 0.1267430099331721
epoch: 13140
Epoch 13140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13140With loss 0.1267430099331721
epoch: 13141
Epoch 13141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13141With loss 0.1267430099331721
epoch: 13142
Epoch 13142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13142With loss 0.1267430099331721
epoch: 13143
Epoch 13143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13143With loss 0.1267430099331721
epoch: 13144
Epoch 13144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13144With loss 0.1267430099331721
epoch: 13145
Epoch 13145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13145With loss 0.1267430099331721
epoch: 13146
Epoch 13146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13146With loss 0.1267430099331721
epoch: 13147
Epoch 13147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13147With loss 0.1267430099331721
epoch: 13148
Epoch 13148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13148With loss 0.1267430099331721
epoch: 13149
Epoch 13149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13149With loss 0.1267430099331721
epoch: 13150
Epoch 13150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13150With loss 0.1267430099331721
epoch: 13151
Epoch 13151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13151With loss 0.1267430099331721
epoch: 13152
Epoch 13152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13152With loss 0.1267430099331721
epoch: 13153
Epoch 13153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13153With loss 0.1267430099331721
epoch: 13154
Epoch 13154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13154With loss 0.1267430099331721
epoch: 13155
Epoch 13155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13155With loss 0.1267430099331721
epoch: 13156
Epoch 13156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13156With loss 0.1267430099331721
epoch: 13157
Epoch 13157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13157With loss 0.1267430099331721
epoch: 13158
Epoch 13158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13158With loss 0.1267430099331721
epoch: 13159
Epoch 13159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13159With loss 0.1267430099331721
epoch: 13160
Epoch 13160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13160With loss 0.1267430099331721
epoch: 13161
Epoch 13161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13161With loss 0.1267430099331721
epoch: 13162
Epoch 13162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13162With loss 0.1267430099331721
epoch: 13163
Epoch 13163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13163With loss 0.1267430099331721
epoch: 13164
Epoch 13164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13164With loss 0.1267430099331721
epoch: 13165
Epoch 13165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13165With loss 0.1267430099331721
epoch: 13166
Epoch 13166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13166With loss 0.1267430099331721
epoch: 13167
Epoch 13167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13167With loss 0.1267430099331721
epoch: 13168
Epoch 13168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13168With loss 0.1267430099331721
epoch: 13169
Epoch 13169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13169With loss 0.1267430099331721
epoch: 13170
Epoch 13170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13170With loss 0.1267430099331721
epoch: 13171
Epoch 13171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13171With loss 0.1267430099331721
epoch: 13172
Epoch 13172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13172With loss 0.1267430099331721
epoch: 13173
Epoch 13173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13173With loss 0.1267430099331721
epoch: 13174
Epoch 13174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13174With loss 0.1267430099331721
epoch: 13175
Epoch 13175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13175With loss 0.1267430099331721
epoch: 13176
Epoch 13176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13176With loss 0.1267430099331721
epoch: 13177
Epoch 13177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13177With loss 0.1267430099331721
epoch: 13178
Epoch 13178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13178With loss 0.1267430099331721
epoch: 13179
Epoch 13179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13179With loss 0.1267430099331721
epoch: 13180
Epoch 13180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13180With loss 0.1267430099331721
epoch: 13181
Epoch 13181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13181With loss 0.1267430099331721
epoch: 13182
Epoch 13182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13182With loss 0.1267430099331721
epoch: 13183
Epoch 13183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13183With loss 0.1267430099331721
epoch: 13184
Epoch 13184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13184With loss 0.1267430099331721
epoch: 13185
Epoch 13185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13185With loss 0.1267430099331721
epoch: 13186
Epoch 13186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13186With loss 0.1267430099331721
epoch: 13187
Epoch 13187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13187With loss 0.1267430099331721
epoch: 13188
Epoch 13188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13188With loss 0.1267430099331721
epoch: 13189
Epoch 13189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13189With loss 0.1267430099331721
epoch: 13190
Epoch 13190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13190With loss 0.1267430099331721
epoch: 13191
Epoch 13191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13191With loss 0.1267430099331721
epoch: 13192
Epoch 13192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13192With loss 0.1267430099331721
epoch: 13193
Epoch 13193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13193With loss 0.1267430099331721
epoch: 13194
Epoch 13194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13194With loss 0.1267430099331721
epoch: 13195
Epoch 13195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13195With loss 0.1267430099331721
epoch: 13196
Epoch 13196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13196With loss 0.1267430099331721
epoch: 13197
Epoch 13197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13197With loss 0.1267430099331721
epoch: 13198
Epoch 13198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13198With loss 0.1267430099331721
epoch: 13199
Epoch 13199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13199With loss 0.1267430099331721
epoch: 13200
Epoch 13200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13200With loss 0.1267430099331721
epoch: 13201
Epoch 13201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13201With loss 0.1267430099331721
epoch: 13202
Epoch 13202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13202With loss 0.1267430099331721
epoch: 13203
Epoch 13203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13203With loss 0.1267430099331721
epoch: 13204
Epoch 13204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13204With loss 0.1267430099331721
epoch: 13205
Epoch 13205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13205With loss 0.1267430099331721
epoch: 13206
Epoch 13206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13206With loss 0.1267430099331721
epoch: 13207
Epoch 13207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13207With loss 0.1267430099331721
epoch: 13208
Epoch 13208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13208With loss 0.1267430099331721
epoch: 13209
Epoch 13209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13209With loss 0.1267430099331721
epoch: 13210
Epoch 13210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13210With loss 0.1267430099331721
epoch: 13211
Epoch 13211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13211With loss 0.1267430099331721
epoch: 13212
Epoch 13212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13212With loss 0.1267430099331721
epoch: 13213
Epoch 13213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13213With loss 0.1267430099331721
epoch: 13214
Epoch 13214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13214With loss 0.1267430099331721
epoch: 13215
Epoch 13215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13215With loss 0.1267430099331721
epoch: 13216
Epoch 13216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13216With loss 0.1267430099331721
epoch: 13217
Epoch 13217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13217With loss 0.1267430099331721
epoch: 13218
Epoch 13218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13218With loss 0.1267430099331721
epoch: 13219
Epoch 13219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13219With loss 0.1267430099331721
epoch: 13220
Epoch 13220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13220With loss 0.1267430099331721
epoch: 13221
Epoch 13221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13221With loss 0.1267430099331721
epoch: 13222
Epoch 13222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13222With loss 0.1267430099331721
epoch: 13223
Epoch 13223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13223With loss 0.1267430099331721
epoch: 13224
Epoch 13224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13224With loss 0.1267430099331721
epoch: 13225
Epoch 13225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13225With loss 0.1267430099331721
epoch: 13226
Epoch 13226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13226With loss 0.1267430099331721
epoch: 13227
Epoch 13227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13227With loss 0.1267430099331721
epoch: 13228
Epoch 13228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13228With loss 0.1267430099331721
epoch: 13229
Epoch 13229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13229With loss 0.1267430099331721
epoch: 13230
Epoch 13230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13230With loss 0.1267430099331721
epoch: 13231
Epoch 13231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13231With loss 0.1267430099331721
epoch: 13232
Epoch 13232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13232With loss 0.1267430099331721
epoch: 13233
Epoch 13233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13233With loss 0.1267430099331721
epoch: 13234
Epoch 13234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13234With loss 0.1267430099331721
epoch: 13235
Epoch 13235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13235With loss 0.1267430099331721
epoch: 13236
Epoch 13236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13236With loss 0.1267430099331721
epoch: 13237
Epoch 13237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13237With loss 0.1267430099331721
epoch: 13238
Epoch 13238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13238With loss 0.1267430099331721
epoch: 13239
Epoch 13239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13239With loss 0.1267430099331721
epoch: 13240
Epoch 13240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13240With loss 0.1267430099331721
epoch: 13241
Epoch 13241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13241With loss 0.1267430099331721
epoch: 13242
Epoch 13242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13242With loss 0.1267430099331721
epoch: 13243
Epoch 13243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13243With loss 0.1267430099331721
epoch: 13244
Epoch 13244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13244With loss 0.1267430099331721
epoch: 13245
Epoch 13245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13245With loss 0.1267430099331721
epoch: 13246
Epoch 13246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13246With loss 0.1267430099331721
epoch: 13247
Epoch 13247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13247With loss 0.1267430099331721
epoch: 13248
Epoch 13248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13248With loss 0.1267430099331721
epoch: 13249
Epoch 13249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13249With loss 0.1267430099331721
epoch: 13250
Epoch 13250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13250With loss 0.1267430099331721
epoch: 13251
Epoch 13251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13251With loss 0.1267430099331721
epoch: 13252
Epoch 13252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13252With loss 0.1267430099331721
epoch: 13253
Epoch 13253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13253With loss 0.1267430099331721
epoch: 13254
Epoch 13254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13254With loss 0.1267430099331721
epoch: 13255
Epoch 13255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13255With loss 0.1267430099331721
epoch: 13256
Epoch 13256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13256With loss 0.1267430099331721
epoch: 13257
Epoch 13257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13257With loss 0.1267430099331721
epoch: 13258
Epoch 13258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13258With loss 0.1267430099331721
epoch: 13259
Epoch 13259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13259With loss 0.1267430099331721
epoch: 13260
Epoch 13260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13260With loss 0.1267430099331721
epoch: 13261
Epoch 13261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13261With loss 0.1267430099331721
epoch: 13262
Epoch 13262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13262With loss 0.1267430099331721
epoch: 13263
Epoch 13263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13263With loss 0.1267430099331721
epoch: 13264
Epoch 13264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13264With loss 0.1267430099331721
epoch: 13265
Epoch 13265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13265With loss 0.1267430099331721
epoch: 13266
Epoch 13266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13266With loss 0.1267430099331721
epoch: 13267
Epoch 13267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13267With loss 0.1267430099331721
epoch: 13268
Epoch 13268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13268With loss 0.1267430099331721
epoch: 13269
Epoch 13269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13269With loss 0.1267430099331721
epoch: 13270
Epoch 13270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13270With loss 0.1267430099331721
epoch: 13271
Epoch 13271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13271With loss 0.1267430099331721
epoch: 13272
Epoch 13272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13272With loss 0.1267430099331721
epoch: 13273
Epoch 13273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13273With loss 0.1267430099331721
epoch: 13274
Epoch 13274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13274With loss 0.1267430099331721
epoch: 13275
Epoch 13275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13275With loss 0.1267430099331721
epoch: 13276
Epoch 13276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13276With loss 0.1267430099331721
epoch: 13277
Epoch 13277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13277With loss 0.1267430099331721
epoch: 13278
Epoch 13278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13278With loss 0.1267430099331721
epoch: 13279
Epoch 13279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13279With loss 0.1267430099331721
epoch: 13280
Epoch 13280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13280With loss 0.1267430099331721
epoch: 13281
Epoch 13281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13281With loss 0.1267430099331721
epoch: 13282
Epoch 13282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13282With loss 0.1267430099331721
epoch: 13283
Epoch 13283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13283With loss 0.1267430099331721
epoch: 13284
Epoch 13284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13284With loss 0.1267430099331721
epoch: 13285
Epoch 13285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13285With loss 0.1267430099331721
epoch: 13286
Epoch 13286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13286With loss 0.1267430099331721
epoch: 13287
Epoch 13287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13287With loss 0.1267430099331721
epoch: 13288
Epoch 13288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13288With loss 0.1267430099331721
epoch: 13289
Epoch 13289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13289With loss 0.1267430099331721
epoch: 13290
Epoch 13290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13290With loss 0.1267430099331721
epoch: 13291
Epoch 13291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13291With loss 0.1267430099331721
epoch: 13292
Epoch 13292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13292With loss 0.1267430099331721
epoch: 13293
Epoch 13293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13293With loss 0.1267430099331721
epoch: 13294
Epoch 13294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13294With loss 0.1267430099331721
epoch: 13295
Epoch 13295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13295With loss 0.1267430099331721
epoch: 13296
Epoch 13296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13296With loss 0.1267430099331721
epoch: 13297
Epoch 13297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13297With loss 0.1267430099331721
epoch: 13298
Epoch 13298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13298With loss 0.1267430099331721
epoch: 13299
Epoch 13299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13299With loss 0.1267430099331721
epoch: 13300
Epoch 13300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13300With loss 0.1267430099331721
epoch: 13301
Epoch 13301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13301With loss 0.1267430099331721
epoch: 13302
Epoch 13302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13302With loss 0.1267430099331721
epoch: 13303
Epoch 13303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13303With loss 0.1267430099331721
epoch: 13304
Epoch 13304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13304With loss 0.1267430099331721
epoch: 13305
Epoch 13305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13305With loss 0.1267430099331721
epoch: 13306
Epoch 13306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13306With loss 0.1267430099331721
epoch: 13307
Epoch 13307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13307With loss 0.1267430099331721
epoch: 13308
Epoch 13308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13308With loss 0.1267430099331721
epoch: 13309
Epoch 13309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13309With loss 0.1267430099331721
epoch: 13310
Epoch 13310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13310With loss 0.1267430099331721
epoch: 13311
Epoch 13311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13311With loss 0.1267430099331721
epoch: 13312
Epoch 13312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13312With loss 0.1267430099331721
epoch: 13313
Epoch 13313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13313With loss 0.1267430099331721
epoch: 13314
Epoch 13314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13314With loss 0.1267430099331721
epoch: 13315
Epoch 13315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13315With loss 0.1267430099331721
epoch: 13316
Epoch 13316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13316With loss 0.1267430099331721
epoch: 13317
Epoch 13317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13317With loss 0.1267430099331721
epoch: 13318
Epoch 13318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13318With loss 0.1267430099331721
epoch: 13319
Epoch 13319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13319With loss 0.1267430099331721
epoch: 13320
Epoch 13320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13320With loss 0.1267430099331721
epoch: 13321
Epoch 13321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13321With loss 0.1267430099331721
epoch: 13322
Epoch 13322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13322With loss 0.1267430099331721
epoch: 13323
Epoch 13323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13323With loss 0.1267430099331721
epoch: 13324
Epoch 13324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13324With loss 0.1267430099331721
epoch: 13325
Epoch 13325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13325With loss 0.1267430099331721
epoch: 13326
Epoch 13326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13326With loss 0.1267430099331721
epoch: 13327
Epoch 13327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13327With loss 0.1267430099331721
epoch: 13328
Epoch 13328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13328With loss 0.1267430099331721
epoch: 13329
Epoch 13329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13329With loss 0.1267430099331721
epoch: 13330
Epoch 13330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13330With loss 0.1267430099331721
epoch: 13331
Epoch 13331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13331With loss 0.1267430099331721
epoch: 13332
Epoch 13332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13332With loss 0.1267430099331721
epoch: 13333
Epoch 13333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13333With loss 0.1267430099331721
epoch: 13334
Epoch 13334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13334With loss 0.1267430099331721
epoch: 13335
Epoch 13335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13335With loss 0.1267430099331721
epoch: 13336
Epoch 13336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13336With loss 0.1267430099331721
epoch: 13337
Epoch 13337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13337With loss 0.1267430099331721
epoch: 13338
Epoch 13338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13338With loss 0.1267430099331721
epoch: 13339
Epoch 13339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13339With loss 0.1267430099331721
epoch: 13340
Epoch 13340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13340With loss 0.1267430099331721
epoch: 13341
Epoch 13341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13341With loss 0.1267430099331721
epoch: 13342
Epoch 13342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13342With loss 0.1267430099331721
epoch: 13343
Epoch 13343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13343With loss 0.1267430099331721
epoch: 13344
Epoch 13344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13344With loss 0.1267430099331721
epoch: 13345
Epoch 13345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13345With loss 0.1267430099331721
epoch: 13346
Epoch 13346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13346With loss 0.1267430099331721
epoch: 13347
Epoch 13347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13347With loss 0.1267430099331721
epoch: 13348
Epoch 13348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13348With loss 0.1267430099331721
epoch: 13349
Epoch 13349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13349With loss 0.1267430099331721
epoch: 13350
Epoch 13350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13350With loss 0.1267430099331721
epoch: 13351
Epoch 13351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13351With loss 0.1267430099331721
epoch: 13352
Epoch 13352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13352With loss 0.1267430099331721
epoch: 13353
Epoch 13353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13353With loss 0.1267430099331721
epoch: 13354
Epoch 13354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13354With loss 0.1267430099331721
epoch: 13355
Epoch 13355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13355With loss 0.1267430099331721
epoch: 13356
Epoch 13356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13356With loss 0.1267430099331721
epoch: 13357
Epoch 13357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13357With loss 0.1267430099331721
epoch: 13358
Epoch 13358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13358With loss 0.1267430099331721
epoch: 13359
Epoch 13359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13359With loss 0.1267430099331721
epoch: 13360
Epoch 13360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13360With loss 0.1267430099331721
epoch: 13361
Epoch 13361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13361With loss 0.1267430099331721
epoch: 13362
Epoch 13362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13362With loss 0.1267430099331721
epoch: 13363
Epoch 13363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13363With loss 0.1267430099331721
epoch: 13364
Epoch 13364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13364With loss 0.1267430099331721
epoch: 13365
Epoch 13365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13365With loss 0.1267430099331721
epoch: 13366
Epoch 13366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13366With loss 0.1267430099331721
epoch: 13367
Epoch 13367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13367With loss 0.1267430099331721
epoch: 13368
Epoch 13368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13368With loss 0.1267430099331721
epoch: 13369
Epoch 13369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13369With loss 0.1267430099331721
epoch: 13370
Epoch 13370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13370With loss 0.1267430099331721
epoch: 13371
Epoch 13371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13371With loss 0.1267430099331721
epoch: 13372
Epoch 13372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13372With loss 0.1267430099331721
epoch: 13373
Epoch 13373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13373With loss 0.1267430099331721
epoch: 13374
Epoch 13374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13374With loss 0.1267430099331721
epoch: 13375
Epoch 13375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13375With loss 0.1267430099331721
epoch: 13376
Epoch 13376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13376With loss 0.1267430099331721
epoch: 13377
Epoch 13377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13377With loss 0.1267430099331721
epoch: 13378
Epoch 13378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13378With loss 0.1267430099331721
epoch: 13379
Epoch 13379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13379With loss 0.1267430099331721
epoch: 13380
Epoch 13380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13380With loss 0.1267430099331721
epoch: 13381
Epoch 13381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13381With loss 0.1267430099331721
epoch: 13382
Epoch 13382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13382With loss 0.1267430099331721
epoch: 13383
Epoch 13383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13383With loss 0.1267430099331721
epoch: 13384
Epoch 13384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13384With loss 0.1267430099331721
epoch: 13385
Epoch 13385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13385With loss 0.1267430099331721
epoch: 13386
Epoch 13386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13386With loss 0.1267430099331721
epoch: 13387
Epoch 13387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13387With loss 0.1267430099331721
epoch: 13388
Epoch 13388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13388With loss 0.1267430099331721
epoch: 13389
Epoch 13389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13389With loss 0.1267430099331721
epoch: 13390
Epoch 13390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13390With loss 0.1267430099331721
epoch: 13391
Epoch 13391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13391With loss 0.1267430099331721
epoch: 13392
Epoch 13392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13392With loss 0.1267430099331721
epoch: 13393
Epoch 13393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13393With loss 0.1267430099331721
epoch: 13394
Epoch 13394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13394With loss 0.1267430099331721
epoch: 13395
Epoch 13395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13395With loss 0.1267430099331721
epoch: 13396
Epoch 13396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13396With loss 0.1267430099331721
epoch: 13397
Epoch 13397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13397With loss 0.1267430099331721
epoch: 13398
Epoch 13398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13398With loss 0.1267430099331721
epoch: 13399
Epoch 13399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13399With loss 0.1267430099331721
epoch: 13400
Epoch 13400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13400With loss 0.1267430099331721
epoch: 13401
Epoch 13401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13401With loss 0.1267430099331721
epoch: 13402
Epoch 13402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13402With loss 0.1267430099331721
epoch: 13403
Epoch 13403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13403With loss 0.1267430099331721
epoch: 13404
Epoch 13404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13404With loss 0.1267430099331721
epoch: 13405
Epoch 13405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13405With loss 0.1267430099331721
epoch: 13406
Epoch 13406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13406With loss 0.1267430099331721
epoch: 13407
Epoch 13407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13407With loss 0.1267430099331721
epoch: 13408
Epoch 13408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13408With loss 0.1267430099331721
epoch: 13409
Epoch 13409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13409With loss 0.1267430099331721
epoch: 13410
Epoch 13410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13410With loss 0.1267430099331721
epoch: 13411
Epoch 13411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13411With loss 0.1267430099331721
epoch: 13412
Epoch 13412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13412With loss 0.1267430099331721
epoch: 13413
Epoch 13413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13413With loss 0.1267430099331721
epoch: 13414
Epoch 13414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13414With loss 0.1267430099331721
epoch: 13415
Epoch 13415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13415With loss 0.1267430099331721
epoch: 13416
Epoch 13416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13416With loss 0.1267430099331721
epoch: 13417
Epoch 13417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13417With loss 0.1267430099331721
epoch: 13418
Epoch 13418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13418With loss 0.1267430099331721
epoch: 13419
Epoch 13419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13419With loss 0.1267430099331721
epoch: 13420
Epoch 13420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13420With loss 0.1267430099331721
epoch: 13421
Epoch 13421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13421With loss 0.1267430099331721
epoch: 13422
Epoch 13422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13422With loss 0.1267430099331721
epoch: 13423
Epoch 13423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13423With loss 0.1267430099331721
epoch: 13424
Epoch 13424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13424With loss 0.1267430099331721
epoch: 13425
Epoch 13425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13425With loss 0.1267430099331721
epoch: 13426
Epoch 13426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13426With loss 0.1267430099331721
epoch: 13427
Epoch 13427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13427With loss 0.1267430099331721
epoch: 13428
Epoch 13428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13428With loss 0.1267430099331721
epoch: 13429
Epoch 13429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13429With loss 0.1267430099331721
epoch: 13430
Epoch 13430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13430With loss 0.1267430099331721
epoch: 13431
Epoch 13431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13431With loss 0.1267430099331721
epoch: 13432
Epoch 13432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13432With loss 0.1267430099331721
epoch: 13433
Epoch 13433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13433With loss 0.1267430099331721
epoch: 13434
Epoch 13434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13434With loss 0.1267430099331721
epoch: 13435
Epoch 13435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13435With loss 0.1267430099331721
epoch: 13436
Epoch 13436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13436With loss 0.1267430099331721
epoch: 13437
Epoch 13437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13437With loss 0.1267430099331721
epoch: 13438
Epoch 13438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13438With loss 0.1267430099331721
epoch: 13439
Epoch 13439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13439With loss 0.1267430099331721
epoch: 13440
Epoch 13440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13440With loss 0.1267430099331721
epoch: 13441
Epoch 13441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13441With loss 0.1267430099331721
epoch: 13442
Epoch 13442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13442With loss 0.1267430099331721
epoch: 13443
Epoch 13443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13443With loss 0.1267430099331721
epoch: 13444
Epoch 13444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13444With loss 0.1267430099331721
epoch: 13445
Epoch 13445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13445With loss 0.1267430099331721
epoch: 13446
Epoch 13446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13446With loss 0.1267430099331721
epoch: 13447
Epoch 13447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13447With loss 0.1267430099331721
epoch: 13448
Epoch 13448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13448With loss 0.1267430099331721
epoch: 13449
Epoch 13449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13449With loss 0.1267430099331721
epoch: 13450
Epoch 13450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13450With loss 0.1267430099331721
epoch: 13451
Epoch 13451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13451With loss 0.1267430099331721
epoch: 13452
Epoch 13452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13452With loss 0.1267430099331721
epoch: 13453
Epoch 13453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13453With loss 0.1267430099331721
epoch: 13454
Epoch 13454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13454With loss 0.1267430099331721
epoch: 13455
Epoch 13455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13455With loss 0.1267430099331721
epoch: 13456
Epoch 13456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13456With loss 0.1267430099331721
epoch: 13457
Epoch 13457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13457With loss 0.1267430099331721
epoch: 13458
Epoch 13458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13458With loss 0.1267430099331721
epoch: 13459
Epoch 13459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13459With loss 0.1267430099331721
epoch: 13460
Epoch 13460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13460With loss 0.1267430099331721
epoch: 13461
Epoch 13461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13461With loss 0.1267430099331721
epoch: 13462
Epoch 13462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13462With loss 0.1267430099331721
epoch: 13463
Epoch 13463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13463With loss 0.1267430099331721
epoch: 13464
Epoch 13464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13464With loss 0.1267430099331721
epoch: 13465
Epoch 13465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13465With loss 0.1267430099331721
epoch: 13466
Epoch 13466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13466With loss 0.1267430099331721
epoch: 13467
Epoch 13467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13467With loss 0.1267430099331721
epoch: 13468
Epoch 13468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13468With loss 0.1267430099331721
epoch: 13469
Epoch 13469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13469With loss 0.1267430099331721
epoch: 13470
Epoch 13470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13470With loss 0.1267430099331721
epoch: 13471
Epoch 13471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13471With loss 0.1267430099331721
epoch: 13472
Epoch 13472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13472With loss 0.1267430099331721
epoch: 13473
Epoch 13473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13473With loss 0.1267430099331721
epoch: 13474
Epoch 13474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13474With loss 0.1267430099331721
epoch: 13475
Epoch 13475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13475With loss 0.1267430099331721
epoch: 13476
Epoch 13476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13476With loss 0.1267430099331721
epoch: 13477
Epoch 13477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13477With loss 0.1267430099331721
epoch: 13478
Epoch 13478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13478With loss 0.1267430099331721
epoch: 13479
Epoch 13479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13479With loss 0.1267430099331721
epoch: 13480
Epoch 13480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13480With loss 0.1267430099331721
epoch: 13481
Epoch 13481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13481With loss 0.1267430099331721
epoch: 13482
Epoch 13482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13482With loss 0.1267430099331721
epoch: 13483
Epoch 13483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13483With loss 0.1267430099331721
epoch: 13484
Epoch 13484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13484With loss 0.1267430099331721
epoch: 13485
Epoch 13485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13485With loss 0.1267430099331721
epoch: 13486
Epoch 13486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13486With loss 0.1267430099331721
epoch: 13487
Epoch 13487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13487With loss 0.1267430099331721
epoch: 13488
Epoch 13488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13488With loss 0.1267430099331721
epoch: 13489
Epoch 13489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13489With loss 0.1267430099331721
epoch: 13490
Epoch 13490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13490With loss 0.1267430099331721
epoch: 13491
Epoch 13491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13491With loss 0.1267430099331721
epoch: 13492
Epoch 13492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13492With loss 0.1267430099331721
epoch: 13493
Epoch 13493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13493With loss 0.1267430099331721
epoch: 13494
Epoch 13494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13494With loss 0.1267430099331721
epoch: 13495
Epoch 13495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13495With loss 0.1267430099331721
epoch: 13496
Epoch 13496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13496With loss 0.1267430099331721
epoch: 13497
Epoch 13497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13497With loss 0.1267430099331721
epoch: 13498
Epoch 13498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13498With loss 0.1267430099331721
epoch: 13499
Epoch 13499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13499With loss 0.1267430099331721
epoch: 13500
Epoch 13500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13500With loss 0.1267430099331721
epoch: 13501
Epoch 13501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13501With loss 0.1267430099331721
epoch: 13502
Epoch 13502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13502With loss 0.1267430099331721
epoch: 13503
Epoch 13503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13503With loss 0.1267430099331721
epoch: 13504
Epoch 13504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13504With loss 0.1267430099331721
epoch: 13505
Epoch 13505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13505With loss 0.1267430099331721
epoch: 13506
Epoch 13506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13506With loss 0.1267430099331721
epoch: 13507
Epoch 13507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13507With loss 0.1267430099331721
epoch: 13508
Epoch 13508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13508With loss 0.1267430099331721
epoch: 13509
Epoch 13509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13509With loss 0.1267430099331721
epoch: 13510
Epoch 13510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13510With loss 0.1267430099331721
epoch: 13511
Epoch 13511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13511With loss 0.1267430099331721
epoch: 13512
Epoch 13512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13512With loss 0.1267430099331721
epoch: 13513
Epoch 13513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13513With loss 0.1267430099331721
epoch: 13514
Epoch 13514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13514With loss 0.1267430099331721
epoch: 13515
Epoch 13515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13515With loss 0.1267430099331721
epoch: 13516
Epoch 13516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13516With loss 0.1267430099331721
epoch: 13517
Epoch 13517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13517With loss 0.1267430099331721
epoch: 13518
Epoch 13518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13518With loss 0.1267430099331721
epoch: 13519
Epoch 13519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13519With loss 0.1267430099331721
epoch: 13520
Epoch 13520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13520With loss 0.1267430099331721
epoch: 13521
Epoch 13521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13521With loss 0.1267430099331721
epoch: 13522
Epoch 13522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13522With loss 0.1267430099331721
epoch: 13523
Epoch 13523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13523With loss 0.1267430099331721
epoch: 13524
Epoch 13524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13524With loss 0.1267430099331721
epoch: 13525
Epoch 13525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13525With loss 0.1267430099331721
epoch: 13526
Epoch 13526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13526With loss 0.1267430099331721
epoch: 13527
Epoch 13527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13527With loss 0.1267430099331721
epoch: 13528
Epoch 13528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13528With loss 0.1267430099331721
epoch: 13529
Epoch 13529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13529With loss 0.1267430099331721
epoch: 13530
Epoch 13530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13530With loss 0.1267430099331721
epoch: 13531
Epoch 13531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13531With loss 0.1267430099331721
epoch: 13532
Epoch 13532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13532With loss 0.1267430099331721
epoch: 13533
Epoch 13533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13533With loss 0.1267430099331721
epoch: 13534
Epoch 13534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13534With loss 0.1267430099331721
epoch: 13535
Epoch 13535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13535With loss 0.1267430099331721
epoch: 13536
Epoch 13536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13536With loss 0.1267430099331721
epoch: 13537
Epoch 13537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13537With loss 0.1267430099331721
epoch: 13538
Epoch 13538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13538With loss 0.1267430099331721
epoch: 13539
Epoch 13539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13539With loss 0.1267430099331721
epoch: 13540
Epoch 13540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13540With loss 0.1267430099331721
epoch: 13541
Epoch 13541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13541With loss 0.1267430099331721
epoch: 13542
Epoch 13542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13542With loss 0.1267430099331721
epoch: 13543
Epoch 13543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13543With loss 0.1267430099331721
epoch: 13544
Epoch 13544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13544With loss 0.1267430099331721
epoch: 13545
Epoch 13545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13545With loss 0.1267430099331721
epoch: 13546
Epoch 13546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13546With loss 0.1267430099331721
epoch: 13547
Epoch 13547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13547With loss 0.1267430099331721
epoch: 13548
Epoch 13548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13548With loss 0.1267430099331721
epoch: 13549
Epoch 13549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13549With loss 0.1267430099331721
epoch: 13550
Epoch 13550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13550With loss 0.1267430099331721
epoch: 13551
Epoch 13551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13551With loss 0.1267430099331721
epoch: 13552
Epoch 13552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13552With loss 0.1267430099331721
epoch: 13553
Epoch 13553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13553With loss 0.1267430099331721
epoch: 13554
Epoch 13554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13554With loss 0.1267430099331721
epoch: 13555
Epoch 13555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13555With loss 0.1267430099331721
epoch: 13556
Epoch 13556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13556With loss 0.1267430099331721
epoch: 13557
Epoch 13557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13557With loss 0.1267430099331721
epoch: 13558
Epoch 13558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13558With loss 0.1267430099331721
epoch: 13559
Epoch 13559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13559With loss 0.1267430099331721
epoch: 13560
Epoch 13560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13560With loss 0.1267430099331721
epoch: 13561
Epoch 13561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13561With loss 0.1267430099331721
epoch: 13562
Epoch 13562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13562With loss 0.1267430099331721
epoch: 13563
Epoch 13563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13563With loss 0.1267430099331721
epoch: 13564
Epoch 13564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13564With loss 0.1267430099331721
epoch: 13565
Epoch 13565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13565With loss 0.1267430099331721
epoch: 13566
Epoch 13566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13566With loss 0.1267430099331721
epoch: 13567
Epoch 13567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13567With loss 0.1267430099331721
epoch: 13568
Epoch 13568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13568With loss 0.1267430099331721
epoch: 13569
Epoch 13569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13569With loss 0.1267430099331721
epoch: 13570
Epoch 13570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13570With loss 0.1267430099331721
epoch: 13571
Epoch 13571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13571With loss 0.1267430099331721
epoch: 13572
Epoch 13572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13572With loss 0.1267430099331721
epoch: 13573
Epoch 13573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13573With loss 0.1267430099331721
epoch: 13574
Epoch 13574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13574With loss 0.1267430099331721
epoch: 13575
Epoch 13575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13575With loss 0.1267430099331721
epoch: 13576
Epoch 13576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13576With loss 0.1267430099331721
epoch: 13577
Epoch 13577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13577With loss 0.1267430099331721
epoch: 13578
Epoch 13578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13578With loss 0.1267430099331721
epoch: 13579
Epoch 13579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13579With loss 0.1267430099331721
epoch: 13580
Epoch 13580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13580With loss 0.1267430099331721
epoch: 13581
Epoch 13581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13581With loss 0.1267430099331721
epoch: 13582
Epoch 13582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13582With loss 0.1267430099331721
epoch: 13583
Epoch 13583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13583With loss 0.1267430099331721
epoch: 13584
Epoch 13584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13584With loss 0.1267430099331721
epoch: 13585
Epoch 13585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13585With loss 0.1267430099331721
epoch: 13586
Epoch 13586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13586With loss 0.1267430099331721
epoch: 13587
Epoch 13587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13587With loss 0.1267430099331721
epoch: 13588
Epoch 13588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13588With loss 0.1267430099331721
epoch: 13589
Epoch 13589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13589With loss 0.1267430099331721
epoch: 13590
Epoch 13590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13590With loss 0.1267430099331721
epoch: 13591
Epoch 13591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13591With loss 0.1267430099331721
epoch: 13592
Epoch 13592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13592With loss 0.1267430099331721
epoch: 13593
Epoch 13593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13593With loss 0.1267430099331721
epoch: 13594
Epoch 13594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13594With loss 0.1267430099331721
epoch: 13595
Epoch 13595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13595With loss 0.1267430099331721
epoch: 13596
Epoch 13596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13596With loss 0.1267430099331721
epoch: 13597
Epoch 13597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13597With loss 0.1267430099331721
epoch: 13598
Epoch 13598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13598With loss 0.1267430099331721
epoch: 13599
Epoch 13599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13599With loss 0.1267430099331721
epoch: 13600
Epoch 13600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13600With loss 0.1267430099331721
epoch: 13601
Epoch 13601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13601With loss 0.1267430099331721
epoch: 13602
Epoch 13602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13602With loss 0.1267430099331721
epoch: 13603
Epoch 13603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13603With loss 0.1267430099331721
epoch: 13604
Epoch 13604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13604With loss 0.1267430099331721
epoch: 13605
Epoch 13605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13605With loss 0.1267430099331721
epoch: 13606
Epoch 13606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13606With loss 0.1267430099331721
epoch: 13607
Epoch 13607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13607With loss 0.1267430099331721
epoch: 13608
Epoch 13608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13608With loss 0.1267430099331721
epoch: 13609
Epoch 13609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13609With loss 0.1267430099331721
epoch: 13610
Epoch 13610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13610With loss 0.1267430099331721
epoch: 13611
Epoch 13611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13611With loss 0.1267430099331721
epoch: 13612
Epoch 13612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13612With loss 0.1267430099331721
epoch: 13613
Epoch 13613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13613With loss 0.1267430099331721
epoch: 13614
Epoch 13614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13614With loss 0.1267430099331721
epoch: 13615
Epoch 13615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13615With loss 0.1267430099331721
epoch: 13616
Epoch 13616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13616With loss 0.1267430099331721
epoch: 13617
Epoch 13617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13617With loss 0.1267430099331721
epoch: 13618
Epoch 13618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13618With loss 0.1267430099331721
epoch: 13619
Epoch 13619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13619With loss 0.1267430099331721
epoch: 13620
Epoch 13620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13620With loss 0.1267430099331721
epoch: 13621
Epoch 13621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13621With loss 0.1267430099331721
epoch: 13622
Epoch 13622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13622With loss 0.1267430099331721
epoch: 13623
Epoch 13623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13623With loss 0.1267430099331721
epoch: 13624
Epoch 13624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13624With loss 0.1267430099331721
epoch: 13625
Epoch 13625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13625With loss 0.1267430099331721
epoch: 13626
Epoch 13626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13626With loss 0.1267430099331721
epoch: 13627
Epoch 13627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13627With loss 0.1267430099331721
epoch: 13628
Epoch 13628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13628With loss 0.1267430099331721
epoch: 13629
Epoch 13629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13629With loss 0.1267430099331721
epoch: 13630
Epoch 13630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13630With loss 0.1267430099331721
epoch: 13631
Epoch 13631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13631With loss 0.1267430099331721
epoch: 13632
Epoch 13632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13632With loss 0.1267430099331721
epoch: 13633
Epoch 13633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13633With loss 0.1267430099331721
epoch: 13634
Epoch 13634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13634With loss 0.1267430099331721
epoch: 13635
Epoch 13635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13635With loss 0.1267430099331721
epoch: 13636
Epoch 13636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13636With loss 0.1267430099331721
epoch: 13637
Epoch 13637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13637With loss 0.1267430099331721
epoch: 13638
Epoch 13638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13638With loss 0.1267430099331721
epoch: 13639
Epoch 13639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13639With loss 0.1267430099331721
epoch: 13640
Epoch 13640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13640With loss 0.1267430099331721
epoch: 13641
Epoch 13641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13641With loss 0.1267430099331721
epoch: 13642
Epoch 13642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13642With loss 0.1267430099331721
epoch: 13643
Epoch 13643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13643With loss 0.1267430099331721
epoch: 13644
Epoch 13644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13644With loss 0.1267430099331721
epoch: 13645
Epoch 13645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13645With loss 0.1267430099331721
epoch: 13646
Epoch 13646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13646With loss 0.1267430099331721
epoch: 13647
Epoch 13647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13647With loss 0.1267430099331721
epoch: 13648
Epoch 13648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13648With loss 0.1267430099331721
epoch: 13649
Epoch 13649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13649With loss 0.1267430099331721
epoch: 13650
Epoch 13650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13650With loss 0.1267430099331721
epoch: 13651
Epoch 13651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13651With loss 0.1267430099331721
epoch: 13652
Epoch 13652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13652With loss 0.1267430099331721
epoch: 13653
Epoch 13653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13653With loss 0.1267430099331721
epoch: 13654
Epoch 13654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13654With loss 0.1267430099331721
epoch: 13655
Epoch 13655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13655With loss 0.1267430099331721
epoch: 13656
Epoch 13656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13656With loss 0.1267430099331721
epoch: 13657
Epoch 13657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13657With loss 0.1267430099331721
epoch: 13658
Epoch 13658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13658With loss 0.1267430099331721
epoch: 13659
Epoch 13659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13659With loss 0.1267430099331721
epoch: 13660
Epoch 13660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13660With loss 0.1267430099331721
epoch: 13661
Epoch 13661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13661With loss 0.1267430099331721
epoch: 13662
Epoch 13662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13662With loss 0.1267430099331721
epoch: 13663
Epoch 13663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13663With loss 0.1267430099331721
epoch: 13664
Epoch 13664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13664With loss 0.1267430099331721
epoch: 13665
Epoch 13665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13665With loss 0.1267430099331721
epoch: 13666
Epoch 13666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13666With loss 0.1267430099331721
epoch: 13667
Epoch 13667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13667With loss 0.1267430099331721
epoch: 13668
Epoch 13668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13668With loss 0.1267430099331721
epoch: 13669
Epoch 13669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13669With loss 0.1267430099331721
epoch: 13670
Epoch 13670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13670With loss 0.1267430099331721
epoch: 13671
Epoch 13671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13671With loss 0.1267430099331721
epoch: 13672
Epoch 13672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13672With loss 0.1267430099331721
epoch: 13673
Epoch 13673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13673With loss 0.1267430099331721
epoch: 13674
Epoch 13674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13674With loss 0.1267430099331721
epoch: 13675
Epoch 13675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13675With loss 0.1267430099331721
epoch: 13676
Epoch 13676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13676With loss 0.1267430099331721
epoch: 13677
Epoch 13677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13677With loss 0.1267430099331721
epoch: 13678
Epoch 13678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13678With loss 0.1267430099331721
epoch: 13679
Epoch 13679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13679With loss 0.1267430099331721
epoch: 13680
Epoch 13680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13680With loss 0.1267430099331721
epoch: 13681
Epoch 13681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13681With loss 0.1267430099331721
epoch: 13682
Epoch 13682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13682With loss 0.1267430099331721
epoch: 13683
Epoch 13683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13683With loss 0.1267430099331721
epoch: 13684
Epoch 13684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13684With loss 0.1267430099331721
epoch: 13685
Epoch 13685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13685With loss 0.1267430099331721
epoch: 13686
Epoch 13686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13686With loss 0.1267430099331721
epoch: 13687
Epoch 13687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13687With loss 0.1267430099331721
epoch: 13688
Epoch 13688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13688With loss 0.1267430099331721
epoch: 13689
Epoch 13689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13689With loss 0.1267430099331721
epoch: 13690
Epoch 13690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13690With loss 0.1267430099331721
epoch: 13691
Epoch 13691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13691With loss 0.1267430099331721
epoch: 13692
Epoch 13692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13692With loss 0.1267430099331721
epoch: 13693
Epoch 13693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13693With loss 0.1267430099331721
epoch: 13694
Epoch 13694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13694With loss 0.1267430099331721
epoch: 13695
Epoch 13695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13695With loss 0.1267430099331721
epoch: 13696
Epoch 13696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13696With loss 0.1267430099331721
epoch: 13697
Epoch 13697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13697With loss 0.1267430099331721
epoch: 13698
Epoch 13698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13698With loss 0.1267430099331721
epoch: 13699
Epoch 13699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13699With loss 0.1267430099331721
epoch: 13700
Epoch 13700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13700With loss 0.1267430099331721
epoch: 13701
Epoch 13701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13701With loss 0.1267430099331721
epoch: 13702
Epoch 13702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13702With loss 0.1267430099331721
epoch: 13703
Epoch 13703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13703With loss 0.1267430099331721
epoch: 13704
Epoch 13704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13704With loss 0.1267430099331721
epoch: 13705
Epoch 13705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13705With loss 0.1267430099331721
epoch: 13706
Epoch 13706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13706With loss 0.1267430099331721
epoch: 13707
Epoch 13707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13707With loss 0.1267430099331721
epoch: 13708
Epoch 13708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13708With loss 0.1267430099331721
epoch: 13709
Epoch 13709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13709With loss 0.1267430099331721
epoch: 13710
Epoch 13710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13710With loss 0.1267430099331721
epoch: 13711
Epoch 13711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13711With loss 0.1267430099331721
epoch: 13712
Epoch 13712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13712With loss 0.1267430099331721
epoch: 13713
Epoch 13713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13713With loss 0.1267430099331721
epoch: 13714
Epoch 13714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13714With loss 0.1267430099331721
epoch: 13715
Epoch 13715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13715With loss 0.1267430099331721
epoch: 13716
Epoch 13716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13716With loss 0.1267430099331721
epoch: 13717
Epoch 13717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13717With loss 0.1267430099331721
epoch: 13718
Epoch 13718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13718With loss 0.1267430099331721
epoch: 13719
Epoch 13719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13719With loss 0.1267430099331721
epoch: 13720
Epoch 13720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13720With loss 0.1267430099331721
epoch: 13721
Epoch 13721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13721With loss 0.1267430099331721
epoch: 13722
Epoch 13722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13722With loss 0.1267430099331721
epoch: 13723
Epoch 13723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13723With loss 0.1267430099331721
epoch: 13724
Epoch 13724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13724With loss 0.1267430099331721
epoch: 13725
Epoch 13725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13725With loss 0.1267430099331721
epoch: 13726
Epoch 13726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13726With loss 0.1267430099331721
epoch: 13727
Epoch 13727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13727With loss 0.1267430099331721
epoch: 13728
Epoch 13728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13728With loss 0.1267430099331721
epoch: 13729
Epoch 13729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13729With loss 0.1267430099331721
epoch: 13730
Epoch 13730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13730With loss 0.1267430099331721
epoch: 13731
Epoch 13731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13731With loss 0.1267430099331721
epoch: 13732
Epoch 13732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13732With loss 0.1267430099331721
epoch: 13733
Epoch 13733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13733With loss 0.1267430099331721
epoch: 13734
Epoch 13734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13734With loss 0.1267430099331721
epoch: 13735
Epoch 13735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13735With loss 0.1267430099331721
epoch: 13736
Epoch 13736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13736With loss 0.1267430099331721
epoch: 13737
Epoch 13737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13737With loss 0.1267430099331721
epoch: 13738
Epoch 13738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13738With loss 0.1267430099331721
epoch: 13739
Epoch 13739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13739With loss 0.1267430099331721
epoch: 13740
Epoch 13740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13740With loss 0.1267430099331721
epoch: 13741
Epoch 13741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13741With loss 0.1267430099331721
epoch: 13742
Epoch 13742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13742With loss 0.1267430099331721
epoch: 13743
Epoch 13743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13743With loss 0.1267430099331721
epoch: 13744
Epoch 13744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13744With loss 0.1267430099331721
epoch: 13745
Epoch 13745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13745With loss 0.1267430099331721
epoch: 13746
Epoch 13746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13746With loss 0.1267430099331721
epoch: 13747
Epoch 13747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13747With loss 0.1267430099331721
epoch: 13748
Epoch 13748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13748With loss 0.1267430099331721
epoch: 13749
Epoch 13749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13749With loss 0.1267430099331721
epoch: 13750
Epoch 13750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13750With loss 0.1267430099331721
epoch: 13751
Epoch 13751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13751With loss 0.1267430099331721
epoch: 13752
Epoch 13752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13752With loss 0.1267430099331721
epoch: 13753
Epoch 13753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13753With loss 0.1267430099331721
epoch: 13754
Epoch 13754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13754With loss 0.1267430099331721
epoch: 13755
Epoch 13755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13755With loss 0.1267430099331721
epoch: 13756
Epoch 13756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13756With loss 0.1267430099331721
epoch: 13757
Epoch 13757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13757With loss 0.1267430099331721
epoch: 13758
Epoch 13758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13758With loss 0.1267430099331721
epoch: 13759
Epoch 13759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13759With loss 0.1267430099331721
epoch: 13760
Epoch 13760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13760With loss 0.1267430099331721
epoch: 13761
Epoch 13761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13761With loss 0.1267430099331721
epoch: 13762
Epoch 13762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13762With loss 0.1267430099331721
epoch: 13763
Epoch 13763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13763With loss 0.1267430099331721
epoch: 13764
Epoch 13764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13764With loss 0.1267430099331721
epoch: 13765
Epoch 13765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13765With loss 0.1267430099331721
epoch: 13766
Epoch 13766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13766With loss 0.1267430099331721
epoch: 13767
Epoch 13767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13767With loss 0.1267430099331721
epoch: 13768
Epoch 13768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13768With loss 0.1267430099331721
epoch: 13769
Epoch 13769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13769With loss 0.1267430099331721
epoch: 13770
Epoch 13770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13770With loss 0.1267430099331721
epoch: 13771
Epoch 13771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13771With loss 0.1267430099331721
epoch: 13772
Epoch 13772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13772With loss 0.1267430099331721
epoch: 13773
Epoch 13773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13773With loss 0.1267430099331721
epoch: 13774
Epoch 13774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13774With loss 0.1267430099331721
epoch: 13775
Epoch 13775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13775With loss 0.1267430099331721
epoch: 13776
Epoch 13776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13776With loss 0.1267430099331721
epoch: 13777
Epoch 13777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13777With loss 0.1267430099331721
epoch: 13778
Epoch 13778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13778With loss 0.1267430099331721
epoch: 13779
Epoch 13779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13779With loss 0.1267430099331721
epoch: 13780
Epoch 13780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13780With loss 0.1267430099331721
epoch: 13781
Epoch 13781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13781With loss 0.1267430099331721
epoch: 13782
Epoch 13782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13782With loss 0.1267430099331721
epoch: 13783
Epoch 13783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13783With loss 0.1267430099331721
epoch: 13784
Epoch 13784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13784With loss 0.1267430099331721
epoch: 13785
Epoch 13785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13785With loss 0.1267430099331721
epoch: 13786
Epoch 13786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13786With loss 0.1267430099331721
epoch: 13787
Epoch 13787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13787With loss 0.1267430099331721
epoch: 13788
Epoch 13788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13788With loss 0.1267430099331721
epoch: 13789
Epoch 13789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13789With loss 0.1267430099331721
epoch: 13790
Epoch 13790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13790With loss 0.1267430099331721
epoch: 13791
Epoch 13791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13791With loss 0.1267430099331721
epoch: 13792
Epoch 13792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13792With loss 0.1267430099331721
epoch: 13793
Epoch 13793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13793With loss 0.1267430099331721
epoch: 13794
Epoch 13794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13794With loss 0.1267430099331721
epoch: 13795
Epoch 13795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13795With loss 0.1267430099331721
epoch: 13796
Epoch 13796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13796With loss 0.1267430099331721
epoch: 13797
Epoch 13797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13797With loss 0.1267430099331721
epoch: 13798
Epoch 13798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13798With loss 0.1267430099331721
epoch: 13799
Epoch 13799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13799With loss 0.1267430099331721
epoch: 13800
Epoch 13800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13800With loss 0.1267430099331721
epoch: 13801
Epoch 13801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13801With loss 0.1267430099331721
epoch: 13802
Epoch 13802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13802With loss 0.1267430099331721
epoch: 13803
Epoch 13803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13803With loss 0.1267430099331721
epoch: 13804
Epoch 13804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13804With loss 0.1267430099331721
epoch: 13805
Epoch 13805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13805With loss 0.1267430099331721
epoch: 13806
Epoch 13806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13806With loss 0.1267430099331721
epoch: 13807
Epoch 13807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13807With loss 0.1267430099331721
epoch: 13808
Epoch 13808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13808With loss 0.1267430099331721
epoch: 13809
Epoch 13809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13809With loss 0.1267430099331721
epoch: 13810
Epoch 13810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13810With loss 0.1267430099331721
epoch: 13811
Epoch 13811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13811With loss 0.1267430099331721
epoch: 13812
Epoch 13812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13812With loss 0.1267430099331721
epoch: 13813
Epoch 13813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13813With loss 0.1267430099331721
epoch: 13814
Epoch 13814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13814With loss 0.1267430099331721
epoch: 13815
Epoch 13815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13815With loss 0.1267430099331721
epoch: 13816
Epoch 13816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13816With loss 0.1267430099331721
epoch: 13817
Epoch 13817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13817With loss 0.1267430099331721
epoch: 13818
Epoch 13818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13818With loss 0.1267430099331721
epoch: 13819
Epoch 13819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13819With loss 0.1267430099331721
epoch: 13820
Epoch 13820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13820With loss 0.1267430099331721
epoch: 13821
Epoch 13821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13821With loss 0.1267430099331721
epoch: 13822
Epoch 13822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13822With loss 0.1267430099331721
epoch: 13823
Epoch 13823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13823With loss 0.1267430099331721
epoch: 13824
Epoch 13824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13824With loss 0.1267430099331721
epoch: 13825
Epoch 13825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13825With loss 0.1267430099331721
epoch: 13826
Epoch 13826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13826With loss 0.1267430099331721
epoch: 13827
Epoch 13827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13827With loss 0.1267430099331721
epoch: 13828
Epoch 13828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13828With loss 0.1267430099331721
epoch: 13829
Epoch 13829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13829With loss 0.1267430099331721
epoch: 13830
Epoch 13830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13830With loss 0.1267430099331721
epoch: 13831
Epoch 13831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13831With loss 0.1267430099331721
epoch: 13832
Epoch 13832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13832With loss 0.1267430099331721
epoch: 13833
Epoch 13833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13833With loss 0.1267430099331721
epoch: 13834
Epoch 13834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13834With loss 0.1267430099331721
epoch: 13835
Epoch 13835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13835With loss 0.1267430099331721
epoch: 13836
Epoch 13836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13836With loss 0.1267430099331721
epoch: 13837
Epoch 13837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13837With loss 0.1267430099331721
epoch: 13838
Epoch 13838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13838With loss 0.1267430099331721
epoch: 13839
Epoch 13839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13839With loss 0.1267430099331721
epoch: 13840
Epoch 13840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13840With loss 0.1267430099331721
epoch: 13841
Epoch 13841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13841With loss 0.1267430099331721
epoch: 13842
Epoch 13842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13842With loss 0.1267430099331721
epoch: 13843
Epoch 13843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13843With loss 0.1267430099331721
epoch: 13844
Epoch 13844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13844With loss 0.1267430099331721
epoch: 13845
Epoch 13845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13845With loss 0.1267430099331721
epoch: 13846
Epoch 13846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13846With loss 0.1267430099331721
epoch: 13847
Epoch 13847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13847With loss 0.1267430099331721
epoch: 13848
Epoch 13848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13848With loss 0.1267430099331721
epoch: 13849
Epoch 13849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13849With loss 0.1267430099331721
epoch: 13850
Epoch 13850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13850With loss 0.1267430099331721
epoch: 13851
Epoch 13851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13851With loss 0.1267430099331721
epoch: 13852
Epoch 13852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13852With loss 0.1267430099331721
epoch: 13853
Epoch 13853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13853With loss 0.1267430099331721
epoch: 13854
Epoch 13854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13854With loss 0.1267430099331721
epoch: 13855
Epoch 13855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13855With loss 0.1267430099331721
epoch: 13856
Epoch 13856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13856With loss 0.1267430099331721
epoch: 13857
Epoch 13857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13857With loss 0.1267430099331721
epoch: 13858
Epoch 13858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13858With loss 0.1267430099331721
epoch: 13859
Epoch 13859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13859With loss 0.1267430099331721
epoch: 13860
Epoch 13860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13860With loss 0.1267430099331721
epoch: 13861
Epoch 13861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13861With loss 0.1267430099331721
epoch: 13862
Epoch 13862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13862With loss 0.1267430099331721
epoch: 13863
Epoch 13863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13863With loss 0.1267430099331721
epoch: 13864
Epoch 13864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13864With loss 0.1267430099331721
epoch: 13865
Epoch 13865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13865With loss 0.1267430099331721
epoch: 13866
Epoch 13866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13866With loss 0.1267430099331721
epoch: 13867
Epoch 13867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13867With loss 0.1267430099331721
epoch: 13868
Epoch 13868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13868With loss 0.1267430099331721
epoch: 13869
Epoch 13869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13869With loss 0.1267430099331721
epoch: 13870
Epoch 13870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13870With loss 0.1267430099331721
epoch: 13871
Epoch 13871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13871With loss 0.1267430099331721
epoch: 13872
Epoch 13872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13872With loss 0.1267430099331721
epoch: 13873
Epoch 13873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13873With loss 0.1267430099331721
epoch: 13874
Epoch 13874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13874With loss 0.1267430099331721
epoch: 13875
Epoch 13875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13875With loss 0.1267430099331721
epoch: 13876
Epoch 13876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13876With loss 0.1267430099331721
epoch: 13877
Epoch 13877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13877With loss 0.1267430099331721
epoch: 13878
Epoch 13878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13878With loss 0.1267430099331721
epoch: 13879
Epoch 13879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13879With loss 0.1267430099331721
epoch: 13880
Epoch 13880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13880With loss 0.1267430099331721
epoch: 13881
Epoch 13881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13881With loss 0.1267430099331721
epoch: 13882
Epoch 13882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13882With loss 0.1267430099331721
epoch: 13883
Epoch 13883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13883With loss 0.1267430099331721
epoch: 13884
Epoch 13884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13884With loss 0.1267430099331721
epoch: 13885
Epoch 13885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13885With loss 0.1267430099331721
epoch: 13886
Epoch 13886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13886With loss 0.1267430099331721
epoch: 13887
Epoch 13887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13887With loss 0.1267430099331721
epoch: 13888
Epoch 13888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13888With loss 0.1267430099331721
epoch: 13889
Epoch 13889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13889With loss 0.1267430099331721
epoch: 13890
Epoch 13890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13890With loss 0.1267430099331721
epoch: 13891
Epoch 13891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13891With loss 0.1267430099331721
epoch: 13892
Epoch 13892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13892With loss 0.1267430099331721
epoch: 13893
Epoch 13893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13893With loss 0.1267430099331721
epoch: 13894
Epoch 13894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13894With loss 0.1267430099331721
epoch: 13895
Epoch 13895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13895With loss 0.1267430099331721
epoch: 13896
Epoch 13896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13896With loss 0.1267430099331721
epoch: 13897
Epoch 13897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13897With loss 0.1267430099331721
epoch: 13898
Epoch 13898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13898With loss 0.1267430099331721
epoch: 13899
Epoch 13899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13899With loss 0.1267430099331721
epoch: 13900
Epoch 13900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13900With loss 0.1267430099331721
epoch: 13901
Epoch 13901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13901With loss 0.1267430099331721
epoch: 13902
Epoch 13902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13902With loss 0.1267430099331721
epoch: 13903
Epoch 13903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13903With loss 0.1267430099331721
epoch: 13904
Epoch 13904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13904With loss 0.1267430099331721
epoch: 13905
Epoch 13905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13905With loss 0.1267430099331721
epoch: 13906
Epoch 13906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13906With loss 0.1267430099331721
epoch: 13907
Epoch 13907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13907With loss 0.1267430099331721
epoch: 13908
Epoch 13908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13908With loss 0.1267430099331721
epoch: 13909
Epoch 13909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13909With loss 0.1267430099331721
epoch: 13910
Epoch 13910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13910With loss 0.1267430099331721
epoch: 13911
Epoch 13911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13911With loss 0.1267430099331721
epoch: 13912
Epoch 13912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13912With loss 0.1267430099331721
epoch: 13913
Epoch 13913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13913With loss 0.1267430099331721
epoch: 13914
Epoch 13914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13914With loss 0.1267430099331721
epoch: 13915
Epoch 13915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13915With loss 0.1267430099331721
epoch: 13916
Epoch 13916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13916With loss 0.1267430099331721
epoch: 13917
Epoch 13917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13917With loss 0.1267430099331721
epoch: 13918
Epoch 13918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13918With loss 0.1267430099331721
epoch: 13919
Epoch 13919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13919With loss 0.1267430099331721
epoch: 13920
Epoch 13920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13920With loss 0.1267430099331721
epoch: 13921
Epoch 13921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13921With loss 0.1267430099331721
epoch: 13922
Epoch 13922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13922With loss 0.1267430099331721
epoch: 13923
Epoch 13923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13923With loss 0.1267430099331721
epoch: 13924
Epoch 13924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13924With loss 0.1267430099331721
epoch: 13925
Epoch 13925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13925With loss 0.1267430099331721
epoch: 13926
Epoch 13926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13926With loss 0.1267430099331721
epoch: 13927
Epoch 13927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13927With loss 0.1267430099331721
epoch: 13928
Epoch 13928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13928With loss 0.1267430099331721
epoch: 13929
Epoch 13929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13929With loss 0.1267430099331721
epoch: 13930
Epoch 13930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13930With loss 0.1267430099331721
epoch: 13931
Epoch 13931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13931With loss 0.1267430099331721
epoch: 13932
Epoch 13932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13932With loss 0.1267430099331721
epoch: 13933
Epoch 13933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13933With loss 0.1267430099331721
epoch: 13934
Epoch 13934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13934With loss 0.1267430099331721
epoch: 13935
Epoch 13935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13935With loss 0.1267430099331721
epoch: 13936
Epoch 13936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13936With loss 0.1267430099331721
epoch: 13937
Epoch 13937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13937With loss 0.1267430099331721
epoch: 13938
Epoch 13938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13938With loss 0.1267430099331721
epoch: 13939
Epoch 13939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13939With loss 0.1267430099331721
epoch: 13940
Epoch 13940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13940With loss 0.1267430099331721
epoch: 13941
Epoch 13941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13941With loss 0.1267430099331721
epoch: 13942
Epoch 13942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13942With loss 0.1267430099331721
epoch: 13943
Epoch 13943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13943With loss 0.1267430099331721
epoch: 13944
Epoch 13944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13944With loss 0.1267430099331721
epoch: 13945
Epoch 13945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13945With loss 0.1267430099331721
epoch: 13946
Epoch 13946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13946With loss 0.1267430099331721
epoch: 13947
Epoch 13947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13947With loss 0.1267430099331721
epoch: 13948
Epoch 13948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13948With loss 0.1267430099331721
epoch: 13949
Epoch 13949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13949With loss 0.1267430099331721
epoch: 13950
Epoch 13950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13950With loss 0.1267430099331721
epoch: 13951
Epoch 13951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13951With loss 0.1267430099331721
epoch: 13952
Epoch 13952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13952With loss 0.1267430099331721
epoch: 13953
Epoch 13953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13953With loss 0.1267430099331721
epoch: 13954
Epoch 13954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13954With loss 0.1267430099331721
epoch: 13955
Epoch 13955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13955With loss 0.1267430099331721
epoch: 13956
Epoch 13956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13956With loss 0.1267430099331721
epoch: 13957
Epoch 13957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13957With loss 0.1267430099331721
epoch: 13958
Epoch 13958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13958With loss 0.1267430099331721
epoch: 13959
Epoch 13959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13959With loss 0.1267430099331721
epoch: 13960
Epoch 13960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13960With loss 0.1267430099331721
epoch: 13961
Epoch 13961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13961With loss 0.1267430099331721
epoch: 13962
Epoch 13962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13962With loss 0.1267430099331721
epoch: 13963
Epoch 13963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13963With loss 0.1267430099331721
epoch: 13964
Epoch 13964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13964With loss 0.1267430099331721
epoch: 13965
Epoch 13965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13965With loss 0.1267430099331721
epoch: 13966
Epoch 13966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13966With loss 0.1267430099331721
epoch: 13967
Epoch 13967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13967With loss 0.1267430099331721
epoch: 13968
Epoch 13968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13968With loss 0.1267430099331721
epoch: 13969
Epoch 13969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13969With loss 0.1267430099331721
epoch: 13970
Epoch 13970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13970With loss 0.1267430099331721
epoch: 13971
Epoch 13971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13971With loss 0.1267430099331721
epoch: 13972
Epoch 13972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13972With loss 0.1267430099331721
epoch: 13973
Epoch 13973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13973With loss 0.1267430099331721
epoch: 13974
Epoch 13974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13974With loss 0.1267430099331721
epoch: 13975
Epoch 13975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13975With loss 0.1267430099331721
epoch: 13976
Epoch 13976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13976With loss 0.1267430099331721
epoch: 13977
Epoch 13977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13977With loss 0.1267430099331721
epoch: 13978
Epoch 13978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13978With loss 0.1267430099331721
epoch: 13979
Epoch 13979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13979With loss 0.1267430099331721
epoch: 13980
Epoch 13980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13980With loss 0.1267430099331721
epoch: 13981
Epoch 13981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13981With loss 0.1267430099331721
epoch: 13982
Epoch 13982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13982With loss 0.1267430099331721
epoch: 13983
Epoch 13983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13983With loss 0.1267430099331721
epoch: 13984
Epoch 13984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13984With loss 0.1267430099331721
epoch: 13985
Epoch 13985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13985With loss 0.1267430099331721
epoch: 13986
Epoch 13986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13986With loss 0.1267430099331721
epoch: 13987
Epoch 13987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13987With loss 0.1267430099331721
epoch: 13988
Epoch 13988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13988With loss 0.1267430099331721
epoch: 13989
Epoch 13989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13989With loss 0.1267430099331721
epoch: 13990
Epoch 13990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13990With loss 0.1267430099331721
epoch: 13991
Epoch 13991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13991With loss 0.1267430099331721
epoch: 13992
Epoch 13992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13992With loss 0.1267430099331721
epoch: 13993
Epoch 13993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13993With loss 0.1267430099331721
epoch: 13994
Epoch 13994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13994With loss 0.1267430099331721
epoch: 13995
Epoch 13995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13995With loss 0.1267430099331721
epoch: 13996
Epoch 13996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13996With loss 0.1267430099331721
epoch: 13997
Epoch 13997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13997With loss 0.1267430099331721
epoch: 13998
Epoch 13998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13998With loss 0.1267430099331721
epoch: 13999
Epoch 13999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 13999With loss 0.1267430099331721
epoch: 14000
Epoch 14000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14000With loss 0.1267430099331721
epoch: 14001
Epoch 14001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14001With loss 0.1267430099331721
epoch: 14002
Epoch 14002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14002With loss 0.1267430099331721
epoch: 14003
Epoch 14003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14003With loss 0.1267430099331721
epoch: 14004
Epoch 14004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14004With loss 0.1267430099331721
epoch: 14005
Epoch 14005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14005With loss 0.1267430099331721
epoch: 14006
Epoch 14006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14006With loss 0.1267430099331721
epoch: 14007
Epoch 14007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14007With loss 0.1267430099331721
epoch: 14008
Epoch 14008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14008With loss 0.1267430099331721
epoch: 14009
Epoch 14009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14009With loss 0.1267430099331721
epoch: 14010
Epoch 14010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14010With loss 0.1267430099331721
epoch: 14011
Epoch 14011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14011With loss 0.1267430099331721
epoch: 14012
Epoch 14012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14012With loss 0.1267430099331721
epoch: 14013
Epoch 14013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14013With loss 0.1267430099331721
epoch: 14014
Epoch 14014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14014With loss 0.1267430099331721
epoch: 14015
Epoch 14015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14015With loss 0.1267430099331721
epoch: 14016
Epoch 14016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14016With loss 0.1267430099331721
epoch: 14017
Epoch 14017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14017With loss 0.1267430099331721
epoch: 14018
Epoch 14018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14018With loss 0.1267430099331721
epoch: 14019
Epoch 14019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14019With loss 0.1267430099331721
epoch: 14020
Epoch 14020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14020With loss 0.1267430099331721
epoch: 14021
Epoch 14021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14021With loss 0.1267430099331721
epoch: 14022
Epoch 14022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14022With loss 0.1267430099331721
epoch: 14023
Epoch 14023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14023With loss 0.1267430099331721
epoch: 14024
Epoch 14024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14024With loss 0.1267430099331721
epoch: 14025
Epoch 14025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14025With loss 0.1267430099331721
epoch: 14026
Epoch 14026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14026With loss 0.1267430099331721
epoch: 14027
Epoch 14027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14027With loss 0.1267430099331721
epoch: 14028
Epoch 14028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14028With loss 0.1267430099331721
epoch: 14029
Epoch 14029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14029With loss 0.1267430099331721
epoch: 14030
Epoch 14030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14030With loss 0.1267430099331721
epoch: 14031
Epoch 14031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14031With loss 0.1267430099331721
epoch: 14032
Epoch 14032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14032With loss 0.1267430099331721
epoch: 14033
Epoch 14033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14033With loss 0.1267430099331721
epoch: 14034
Epoch 14034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14034With loss 0.1267430099331721
epoch: 14035
Epoch 14035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14035With loss 0.1267430099331721
epoch: 14036
Epoch 14036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14036With loss 0.1267430099331721
epoch: 14037
Epoch 14037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14037With loss 0.1267430099331721
epoch: 14038
Epoch 14038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14038With loss 0.1267430099331721
epoch: 14039
Epoch 14039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14039With loss 0.1267430099331721
epoch: 14040
Epoch 14040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14040With loss 0.1267430099331721
epoch: 14041
Epoch 14041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14041With loss 0.1267430099331721
epoch: 14042
Epoch 14042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14042With loss 0.1267430099331721
epoch: 14043
Epoch 14043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14043With loss 0.1267430099331721
epoch: 14044
Epoch 14044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14044With loss 0.1267430099331721
epoch: 14045
Epoch 14045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14045With loss 0.1267430099331721
epoch: 14046
Epoch 14046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14046With loss 0.1267430099331721
epoch: 14047
Epoch 14047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14047With loss 0.1267430099331721
epoch: 14048
Epoch 14048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14048With loss 0.1267430099331721
epoch: 14049
Epoch 14049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14049With loss 0.1267430099331721
epoch: 14050
Epoch 14050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14050With loss 0.1267430099331721
epoch: 14051
Epoch 14051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14051With loss 0.1267430099331721
epoch: 14052
Epoch 14052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14052With loss 0.1267430099331721
epoch: 14053
Epoch 14053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14053With loss 0.1267430099331721
epoch: 14054
Epoch 14054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14054With loss 0.1267430099331721
epoch: 14055
Epoch 14055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14055With loss 0.1267430099331721
epoch: 14056
Epoch 14056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14056With loss 0.1267430099331721
epoch: 14057
Epoch 14057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14057With loss 0.1267430099331721
epoch: 14058
Epoch 14058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14058With loss 0.1267430099331721
epoch: 14059
Epoch 14059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14059With loss 0.1267430099331721
epoch: 14060
Epoch 14060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14060With loss 0.1267430099331721
epoch: 14061
Epoch 14061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14061With loss 0.1267430099331721
epoch: 14062
Epoch 14062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14062With loss 0.1267430099331721
epoch: 14063
Epoch 14063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14063With loss 0.1267430099331721
epoch: 14064
Epoch 14064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14064With loss 0.1267430099331721
epoch: 14065
Epoch 14065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14065With loss 0.1267430099331721
epoch: 14066
Epoch 14066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14066With loss 0.1267430099331721
epoch: 14067
Epoch 14067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14067With loss 0.1267430099331721
epoch: 14068
Epoch 14068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14068With loss 0.1267430099331721
epoch: 14069
Epoch 14069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14069With loss 0.1267430099331721
epoch: 14070
Epoch 14070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14070With loss 0.1267430099331721
epoch: 14071
Epoch 14071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14071With loss 0.1267430099331721
epoch: 14072
Epoch 14072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14072With loss 0.1267430099331721
epoch: 14073
Epoch 14073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14073With loss 0.1267430099331721
epoch: 14074
Epoch 14074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14074With loss 0.1267430099331721
epoch: 14075
Epoch 14075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14075With loss 0.1267430099331721
epoch: 14076
Epoch 14076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14076With loss 0.1267430099331721
epoch: 14077
Epoch 14077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14077With loss 0.1267430099331721
epoch: 14078
Epoch 14078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14078With loss 0.1267430099331721
epoch: 14079
Epoch 14079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14079With loss 0.1267430099331721
epoch: 14080
Epoch 14080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14080With loss 0.1267430099331721
epoch: 14081
Epoch 14081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14081With loss 0.1267430099331721
epoch: 14082
Epoch 14082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14082With loss 0.1267430099331721
epoch: 14083
Epoch 14083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14083With loss 0.1267430099331721
epoch: 14084
Epoch 14084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14084With loss 0.1267430099331721
epoch: 14085
Epoch 14085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14085With loss 0.1267430099331721
epoch: 14086
Epoch 14086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14086With loss 0.1267430099331721
epoch: 14087
Epoch 14087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14087With loss 0.1267430099331721
epoch: 14088
Epoch 14088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14088With loss 0.1267430099331721
epoch: 14089
Epoch 14089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14089With loss 0.1267430099331721
epoch: 14090
Epoch 14090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14090With loss 0.1267430099331721
epoch: 14091
Epoch 14091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14091With loss 0.1267430099331721
epoch: 14092
Epoch 14092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14092With loss 0.1267430099331721
epoch: 14093
Epoch 14093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14093With loss 0.1267430099331721
epoch: 14094
Epoch 14094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14094With loss 0.1267430099331721
epoch: 14095
Epoch 14095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14095With loss 0.1267430099331721
epoch: 14096
Epoch 14096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14096With loss 0.1267430099331721
epoch: 14097
Epoch 14097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14097With loss 0.1267430099331721
epoch: 14098
Epoch 14098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14098With loss 0.1267430099331721
epoch: 14099
Epoch 14099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14099With loss 0.1267430099331721
epoch: 14100
Epoch 14100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14100With loss 0.1267430099331721
epoch: 14101
Epoch 14101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14101With loss 0.1267430099331721
epoch: 14102
Epoch 14102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14102With loss 0.1267430099331721
epoch: 14103
Epoch 14103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14103With loss 0.1267430099331721
epoch: 14104
Epoch 14104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14104With loss 0.1267430099331721
epoch: 14105
Epoch 14105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14105With loss 0.1267430099331721
epoch: 14106
Epoch 14106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14106With loss 0.1267430099331721
epoch: 14107
Epoch 14107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14107With loss 0.1267430099331721
epoch: 14108
Epoch 14108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14108With loss 0.1267430099331721
epoch: 14109
Epoch 14109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14109With loss 0.1267430099331721
epoch: 14110
Epoch 14110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14110With loss 0.1267430099331721
epoch: 14111
Epoch 14111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14111With loss 0.1267430099331721
epoch: 14112
Epoch 14112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14112With loss 0.1267430099331721
epoch: 14113
Epoch 14113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14113With loss 0.1267430099331721
epoch: 14114
Epoch 14114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14114With loss 0.1267430099331721
epoch: 14115
Epoch 14115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14115With loss 0.1267430099331721
epoch: 14116
Epoch 14116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14116With loss 0.1267430099331721
epoch: 14117
Epoch 14117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14117With loss 0.1267430099331721
epoch: 14118
Epoch 14118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14118With loss 0.1267430099331721
epoch: 14119
Epoch 14119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14119With loss 0.1267430099331721
epoch: 14120
Epoch 14120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14120With loss 0.1267430099331721
epoch: 14121
Epoch 14121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14121With loss 0.1267430099331721
epoch: 14122
Epoch 14122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14122With loss 0.1267430099331721
epoch: 14123
Epoch 14123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14123With loss 0.1267430099331721
epoch: 14124
Epoch 14124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14124With loss 0.1267430099331721
epoch: 14125
Epoch 14125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14125With loss 0.1267430099331721
epoch: 14126
Epoch 14126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14126With loss 0.1267430099331721
epoch: 14127
Epoch 14127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14127With loss 0.1267430099331721
epoch: 14128
Epoch 14128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14128With loss 0.1267430099331721
epoch: 14129
Epoch 14129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14129With loss 0.1267430099331721
epoch: 14130
Epoch 14130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14130With loss 0.1267430099331721
epoch: 14131
Epoch 14131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14131With loss 0.1267430099331721
epoch: 14132
Epoch 14132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14132With loss 0.1267430099331721
epoch: 14133
Epoch 14133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14133With loss 0.1267430099331721
epoch: 14134
Epoch 14134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14134With loss 0.1267430099331721
epoch: 14135
Epoch 14135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14135With loss 0.1267430099331721
epoch: 14136
Epoch 14136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14136With loss 0.1267430099331721
epoch: 14137
Epoch 14137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14137With loss 0.1267430099331721
epoch: 14138
Epoch 14138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14138With loss 0.1267430099331721
epoch: 14139
Epoch 14139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14139With loss 0.1267430099331721
epoch: 14140
Epoch 14140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14140With loss 0.1267430099331721
epoch: 14141
Epoch 14141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14141With loss 0.1267430099331721
epoch: 14142
Epoch 14142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14142With loss 0.1267430099331721
epoch: 14143
Epoch 14143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14143With loss 0.1267430099331721
epoch: 14144
Epoch 14144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14144With loss 0.1267430099331721
epoch: 14145
Epoch 14145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14145With loss 0.1267430099331721
epoch: 14146
Epoch 14146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14146With loss 0.1267430099331721
epoch: 14147
Epoch 14147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14147With loss 0.1267430099331721
epoch: 14148
Epoch 14148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14148With loss 0.1267430099331721
epoch: 14149
Epoch 14149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14149With loss 0.1267430099331721
epoch: 14150
Epoch 14150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14150With loss 0.1267430099331721
epoch: 14151
Epoch 14151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14151With loss 0.1267430099331721
epoch: 14152
Epoch 14152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14152With loss 0.1267430099331721
epoch: 14153
Epoch 14153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14153With loss 0.1267430099331721
epoch: 14154
Epoch 14154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14154With loss 0.1267430099331721
epoch: 14155
Epoch 14155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14155With loss 0.1267430099331721
epoch: 14156
Epoch 14156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14156With loss 0.1267430099331721
epoch: 14157
Epoch 14157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14157With loss 0.1267430099331721
epoch: 14158
Epoch 14158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14158With loss 0.1267430099331721
epoch: 14159
Epoch 14159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14159With loss 0.1267430099331721
epoch: 14160
Epoch 14160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14160With loss 0.1267430099331721
epoch: 14161
Epoch 14161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14161With loss 0.1267430099331721
epoch: 14162
Epoch 14162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14162With loss 0.1267430099331721
epoch: 14163
Epoch 14163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14163With loss 0.1267430099331721
epoch: 14164
Epoch 14164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14164With loss 0.1267430099331721
epoch: 14165
Epoch 14165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14165With loss 0.1267430099331721
epoch: 14166
Epoch 14166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14166With loss 0.1267430099331721
epoch: 14167
Epoch 14167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14167With loss 0.1267430099331721
epoch: 14168
Epoch 14168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14168With loss 0.1267430099331721
epoch: 14169
Epoch 14169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14169With loss 0.1267430099331721
epoch: 14170
Epoch 14170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14170With loss 0.1267430099331721
epoch: 14171
Epoch 14171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14171With loss 0.1267430099331721
epoch: 14172
Epoch 14172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14172With loss 0.1267430099331721
epoch: 14173
Epoch 14173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14173With loss 0.1267430099331721
epoch: 14174
Epoch 14174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14174With loss 0.1267430099331721
epoch: 14175
Epoch 14175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14175With loss 0.1267430099331721
epoch: 14176
Epoch 14176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14176With loss 0.1267430099331721
epoch: 14177
Epoch 14177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14177With loss 0.1267430099331721
epoch: 14178
Epoch 14178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14178With loss 0.1267430099331721
epoch: 14179
Epoch 14179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14179With loss 0.1267430099331721
epoch: 14180
Epoch 14180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14180With loss 0.1267430099331721
epoch: 14181
Epoch 14181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14181With loss 0.1267430099331721
epoch: 14182
Epoch 14182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14182With loss 0.1267430099331721
epoch: 14183
Epoch 14183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14183With loss 0.1267430099331721
epoch: 14184
Epoch 14184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14184With loss 0.1267430099331721
epoch: 14185
Epoch 14185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14185With loss 0.1267430099331721
epoch: 14186
Epoch 14186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14186With loss 0.1267430099331721
epoch: 14187
Epoch 14187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14187With loss 0.1267430099331721
epoch: 14188
Epoch 14188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14188With loss 0.1267430099331721
epoch: 14189
Epoch 14189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14189With loss 0.1267430099331721
epoch: 14190
Epoch 14190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14190With loss 0.1267430099331721
epoch: 14191
Epoch 14191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14191With loss 0.1267430099331721
epoch: 14192
Epoch 14192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14192With loss 0.1267430099331721
epoch: 14193
Epoch 14193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14193With loss 0.1267430099331721
epoch: 14194
Epoch 14194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14194With loss 0.1267430099331721
epoch: 14195
Epoch 14195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14195With loss 0.1267430099331721
epoch: 14196
Epoch 14196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14196With loss 0.1267430099331721
epoch: 14197
Epoch 14197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14197With loss 0.1267430099331721
epoch: 14198
Epoch 14198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14198With loss 0.1267430099331721
epoch: 14199
Epoch 14199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14199With loss 0.1267430099331721
epoch: 14200
Epoch 14200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14200With loss 0.1267430099331721
epoch: 14201
Epoch 14201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14201With loss 0.1267430099331721
epoch: 14202
Epoch 14202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14202With loss 0.1267430099331721
epoch: 14203
Epoch 14203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14203With loss 0.1267430099331721
epoch: 14204
Epoch 14204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14204With loss 0.1267430099331721
epoch: 14205
Epoch 14205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14205With loss 0.1267430099331721
epoch: 14206
Epoch 14206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14206With loss 0.1267430099331721
epoch: 14207
Epoch 14207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14207With loss 0.1267430099331721
epoch: 14208
Epoch 14208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14208With loss 0.1267430099331721
epoch: 14209
Epoch 14209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14209With loss 0.1267430099331721
epoch: 14210
Epoch 14210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14210With loss 0.1267430099331721
epoch: 14211
Epoch 14211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14211With loss 0.1267430099331721
epoch: 14212
Epoch 14212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14212With loss 0.1267430099331721
epoch: 14213
Epoch 14213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14213With loss 0.1267430099331721
epoch: 14214
Epoch 14214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14214With loss 0.1267430099331721
epoch: 14215
Epoch 14215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14215With loss 0.1267430099331721
epoch: 14216
Epoch 14216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14216With loss 0.1267430099331721
epoch: 14217
Epoch 14217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14217With loss 0.1267430099331721
epoch: 14218
Epoch 14218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14218With loss 0.1267430099331721
epoch: 14219
Epoch 14219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14219With loss 0.1267430099331721
epoch: 14220
Epoch 14220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14220With loss 0.1267430099331721
epoch: 14221
Epoch 14221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14221With loss 0.1267430099331721
epoch: 14222
Epoch 14222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14222With loss 0.1267430099331721
epoch: 14223
Epoch 14223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14223With loss 0.1267430099331721
epoch: 14224
Epoch 14224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14224With loss 0.1267430099331721
epoch: 14225
Epoch 14225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14225With loss 0.1267430099331721
epoch: 14226
Epoch 14226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14226With loss 0.1267430099331721
epoch: 14227
Epoch 14227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14227With loss 0.1267430099331721
epoch: 14228
Epoch 14228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14228With loss 0.1267430099331721
epoch: 14229
Epoch 14229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14229With loss 0.1267430099331721
epoch: 14230
Epoch 14230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14230With loss 0.1267430099331721
epoch: 14231
Epoch 14231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14231With loss 0.1267430099331721
epoch: 14232
Epoch 14232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14232With loss 0.1267430099331721
epoch: 14233
Epoch 14233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14233With loss 0.1267430099331721
epoch: 14234
Epoch 14234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14234With loss 0.1267430099331721
epoch: 14235
Epoch 14235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14235With loss 0.1267430099331721
epoch: 14236
Epoch 14236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14236With loss 0.1267430099331721
epoch: 14237
Epoch 14237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14237With loss 0.1267430099331721
epoch: 14238
Epoch 14238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14238With loss 0.1267430099331721
epoch: 14239
Epoch 14239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14239With loss 0.1267430099331721
epoch: 14240
Epoch 14240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14240With loss 0.1267430099331721
epoch: 14241
Epoch 14241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14241With loss 0.1267430099331721
epoch: 14242
Epoch 14242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14242With loss 0.1267430099331721
epoch: 14243
Epoch 14243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14243With loss 0.1267430099331721
epoch: 14244
Epoch 14244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14244With loss 0.1267430099331721
epoch: 14245
Epoch 14245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14245With loss 0.1267430099331721
epoch: 14246
Epoch 14246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14246With loss 0.1267430099331721
epoch: 14247
Epoch 14247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14247With loss 0.1267430099331721
epoch: 14248
Epoch 14248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14248With loss 0.1267430099331721
epoch: 14249
Epoch 14249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14249With loss 0.1267430099331721
epoch: 14250
Epoch 14250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14250With loss 0.1267430099331721
epoch: 14251
Epoch 14251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14251With loss 0.1267430099331721
epoch: 14252
Epoch 14252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14252With loss 0.1267430099331721
epoch: 14253
Epoch 14253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14253With loss 0.1267430099331721
epoch: 14254
Epoch 14254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14254With loss 0.1267430099331721
epoch: 14255
Epoch 14255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14255With loss 0.1267430099331721
epoch: 14256
Epoch 14256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14256With loss 0.1267430099331721
epoch: 14257
Epoch 14257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14257With loss 0.1267430099331721
epoch: 14258
Epoch 14258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14258With loss 0.1267430099331721
epoch: 14259
Epoch 14259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14259With loss 0.1267430099331721
epoch: 14260
Epoch 14260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14260With loss 0.1267430099331721
epoch: 14261
Epoch 14261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14261With loss 0.1267430099331721
epoch: 14262
Epoch 14262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14262With loss 0.1267430099331721
epoch: 14263
Epoch 14263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14263With loss 0.1267430099331721
epoch: 14264
Epoch 14264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14264With loss 0.1267430099331721
epoch: 14265
Epoch 14265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14265With loss 0.1267430099331721
epoch: 14266
Epoch 14266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14266With loss 0.1267430099331721
epoch: 14267
Epoch 14267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14267With loss 0.1267430099331721
epoch: 14268
Epoch 14268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14268With loss 0.1267430099331721
epoch: 14269
Epoch 14269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14269With loss 0.1267430099331721
epoch: 14270
Epoch 14270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14270With loss 0.1267430099331721
epoch: 14271
Epoch 14271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14271With loss 0.1267430099331721
epoch: 14272
Epoch 14272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14272With loss 0.1267430099331721
epoch: 14273
Epoch 14273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14273With loss 0.1267430099331721
epoch: 14274
Epoch 14274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14274With loss 0.1267430099331721
epoch: 14275
Epoch 14275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14275With loss 0.1267430099331721
epoch: 14276
Epoch 14276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14276With loss 0.1267430099331721
epoch: 14277
Epoch 14277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14277With loss 0.1267430099331721
epoch: 14278
Epoch 14278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14278With loss 0.1267430099331721
epoch: 14279
Epoch 14279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14279With loss 0.1267430099331721
epoch: 14280
Epoch 14280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14280With loss 0.1267430099331721
epoch: 14281
Epoch 14281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14281With loss 0.1267430099331721
epoch: 14282
Epoch 14282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14282With loss 0.1267430099331721
epoch: 14283
Epoch 14283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14283With loss 0.1267430099331721
epoch: 14284
Epoch 14284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14284With loss 0.1267430099331721
epoch: 14285
Epoch 14285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14285With loss 0.1267430099331721
epoch: 14286
Epoch 14286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14286With loss 0.1267430099331721
epoch: 14287
Epoch 14287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14287With loss 0.1267430099331721
epoch: 14288
Epoch 14288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14288With loss 0.1267430099331721
epoch: 14289
Epoch 14289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14289With loss 0.1267430099331721
epoch: 14290
Epoch 14290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14290With loss 0.1267430099331721
epoch: 14291
Epoch 14291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14291With loss 0.1267430099331721
epoch: 14292
Epoch 14292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14292With loss 0.1267430099331721
epoch: 14293
Epoch 14293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14293With loss 0.1267430099331721
epoch: 14294
Epoch 14294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14294With loss 0.1267430099331721
epoch: 14295
Epoch 14295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14295With loss 0.1267430099331721
epoch: 14296
Epoch 14296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14296With loss 0.1267430099331721
epoch: 14297
Epoch 14297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14297With loss 0.1267430099331721
epoch: 14298
Epoch 14298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14298With loss 0.1267430099331721
epoch: 14299
Epoch 14299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14299With loss 0.1267430099331721
epoch: 14300
Epoch 14300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14300With loss 0.1267430099331721
epoch: 14301
Epoch 14301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14301With loss 0.1267430099331721
epoch: 14302
Epoch 14302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14302With loss 0.1267430099331721
epoch: 14303
Epoch 14303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14303With loss 0.1267430099331721
epoch: 14304
Epoch 14304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14304With loss 0.1267430099331721
epoch: 14305
Epoch 14305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14305With loss 0.1267430099331721
epoch: 14306
Epoch 14306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14306With loss 0.1267430099331721
epoch: 14307
Epoch 14307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14307With loss 0.1267430099331721
epoch: 14308
Epoch 14308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14308With loss 0.1267430099331721
epoch: 14309
Epoch 14309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14309With loss 0.1267430099331721
epoch: 14310
Epoch 14310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14310With loss 0.1267430099331721
epoch: 14311
Epoch 14311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14311With loss 0.1267430099331721
epoch: 14312
Epoch 14312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14312With loss 0.1267430099331721
epoch: 14313
Epoch 14313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14313With loss 0.1267430099331721
epoch: 14314
Epoch 14314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14314With loss 0.1267430099331721
epoch: 14315
Epoch 14315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14315With loss 0.1267430099331721
epoch: 14316
Epoch 14316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14316With loss 0.1267430099331721
epoch: 14317
Epoch 14317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14317With loss 0.1267430099331721
epoch: 14318
Epoch 14318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14318With loss 0.1267430099331721
epoch: 14319
Epoch 14319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14319With loss 0.1267430099331721
epoch: 14320
Epoch 14320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14320With loss 0.1267430099331721
epoch: 14321
Epoch 14321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14321With loss 0.1267430099331721
epoch: 14322
Epoch 14322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14322With loss 0.1267430099331721
epoch: 14323
Epoch 14323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14323With loss 0.1267430099331721
epoch: 14324
Epoch 14324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14324With loss 0.1267430099331721
epoch: 14325
Epoch 14325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14325With loss 0.1267430099331721
epoch: 14326
Epoch 14326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14326With loss 0.1267430099331721
epoch: 14327
Epoch 14327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14327With loss 0.1267430099331721
epoch: 14328
Epoch 14328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14328With loss 0.1267430099331721
epoch: 14329
Epoch 14329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14329With loss 0.1267430099331721
epoch: 14330
Epoch 14330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14330With loss 0.1267430099331721
epoch: 14331
Epoch 14331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14331With loss 0.1267430099331721
epoch: 14332
Epoch 14332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14332With loss 0.1267430099331721
epoch: 14333
Epoch 14333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14333With loss 0.1267430099331721
epoch: 14334
Epoch 14334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14334With loss 0.1267430099331721
epoch: 14335
Epoch 14335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14335With loss 0.1267430099331721
epoch: 14336
Epoch 14336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14336With loss 0.1267430099331721
epoch: 14337
Epoch 14337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14337With loss 0.1267430099331721
epoch: 14338
Epoch 14338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14338With loss 0.1267430099331721
epoch: 14339
Epoch 14339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14339With loss 0.1267430099331721
epoch: 14340
Epoch 14340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14340With loss 0.1267430099331721
epoch: 14341
Epoch 14341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14341With loss 0.1267430099331721
epoch: 14342
Epoch 14342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14342With loss 0.1267430099331721
epoch: 14343
Epoch 14343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14343With loss 0.1267430099331721
epoch: 14344
Epoch 14344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14344With loss 0.1267430099331721
epoch: 14345
Epoch 14345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14345With loss 0.1267430099331721
epoch: 14346
Epoch 14346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14346With loss 0.1267430099331721
epoch: 14347
Epoch 14347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14347With loss 0.1267430099331721
epoch: 14348
Epoch 14348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14348With loss 0.1267430099331721
epoch: 14349
Epoch 14349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14349With loss 0.1267430099331721
epoch: 14350
Epoch 14350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14350With loss 0.1267430099331721
epoch: 14351
Epoch 14351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14351With loss 0.1267430099331721
epoch: 14352
Epoch 14352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14352With loss 0.1267430099331721
epoch: 14353
Epoch 14353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14353With loss 0.1267430099331721
epoch: 14354
Epoch 14354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14354With loss 0.1267430099331721
epoch: 14355
Epoch 14355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14355With loss 0.1267430099331721
epoch: 14356
Epoch 14356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14356With loss 0.1267430099331721
epoch: 14357
Epoch 14357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14357With loss 0.1267430099331721
epoch: 14358
Epoch 14358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14358With loss 0.1267430099331721
epoch: 14359
Epoch 14359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14359With loss 0.1267430099331721
epoch: 14360
Epoch 14360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14360With loss 0.1267430099331721
epoch: 14361
Epoch 14361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14361With loss 0.1267430099331721
epoch: 14362
Epoch 14362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14362With loss 0.1267430099331721
epoch: 14363
Epoch 14363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14363With loss 0.1267430099331721
epoch: 14364
Epoch 14364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14364With loss 0.1267430099331721
epoch: 14365
Epoch 14365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14365With loss 0.1267430099331721
epoch: 14366
Epoch 14366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14366With loss 0.1267430099331721
epoch: 14367
Epoch 14367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14367With loss 0.1267430099331721
epoch: 14368
Epoch 14368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14368With loss 0.1267430099331721
epoch: 14369
Epoch 14369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14369With loss 0.1267430099331721
epoch: 14370
Epoch 14370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14370With loss 0.1267430099331721
epoch: 14371
Epoch 14371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14371With loss 0.1267430099331721
epoch: 14372
Epoch 14372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14372With loss 0.1267430099331721
epoch: 14373
Epoch 14373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14373With loss 0.1267430099331721
epoch: 14374
Epoch 14374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14374With loss 0.1267430099331721
epoch: 14375
Epoch 14375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14375With loss 0.1267430099331721
epoch: 14376
Epoch 14376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14376With loss 0.1267430099331721
epoch: 14377
Epoch 14377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14377With loss 0.1267430099331721
epoch: 14378
Epoch 14378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14378With loss 0.1267430099331721
epoch: 14379
Epoch 14379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14379With loss 0.1267430099331721
epoch: 14380
Epoch 14380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14380With loss 0.1267430099331721
epoch: 14381
Epoch 14381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14381With loss 0.1267430099331721
epoch: 14382
Epoch 14382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14382With loss 0.1267430099331721
epoch: 14383
Epoch 14383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14383With loss 0.1267430099331721
epoch: 14384
Epoch 14384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14384With loss 0.1267430099331721
epoch: 14385
Epoch 14385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14385With loss 0.1267430099331721
epoch: 14386
Epoch 14386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14386With loss 0.1267430099331721
epoch: 14387
Epoch 14387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14387With loss 0.1267430099331721
epoch: 14388
Epoch 14388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14388With loss 0.1267430099331721
epoch: 14389
Epoch 14389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14389With loss 0.1267430099331721
epoch: 14390
Epoch 14390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14390With loss 0.1267430099331721
epoch: 14391
Epoch 14391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14391With loss 0.1267430099331721
epoch: 14392
Epoch 14392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14392With loss 0.1267430099331721
epoch: 14393
Epoch 14393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14393With loss 0.1267430099331721
epoch: 14394
Epoch 14394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14394With loss 0.1267430099331721
epoch: 14395
Epoch 14395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14395With loss 0.1267430099331721
epoch: 14396
Epoch 14396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14396With loss 0.1267430099331721
epoch: 14397
Epoch 14397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14397With loss 0.1267430099331721
epoch: 14398
Epoch 14398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14398With loss 0.1267430099331721
epoch: 14399
Epoch 14399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14399With loss 0.1267430099331721
epoch: 14400
Epoch 14400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14400With loss 0.1267430099331721
epoch: 14401
Epoch 14401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14401With loss 0.1267430099331721
epoch: 14402
Epoch 14402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14402With loss 0.1267430099331721
epoch: 14403
Epoch 14403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14403With loss 0.1267430099331721
epoch: 14404
Epoch 14404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14404With loss 0.1267430099331721
epoch: 14405
Epoch 14405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14405With loss 0.1267430099331721
epoch: 14406
Epoch 14406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14406With loss 0.1267430099331721
epoch: 14407
Epoch 14407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14407With loss 0.1267430099331721
epoch: 14408
Epoch 14408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14408With loss 0.1267430099331721
epoch: 14409
Epoch 14409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14409With loss 0.1267430099331721
epoch: 14410
Epoch 14410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14410With loss 0.1267430099331721
epoch: 14411
Epoch 14411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14411With loss 0.1267430099331721
epoch: 14412
Epoch 14412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14412With loss 0.1267430099331721
epoch: 14413
Epoch 14413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14413With loss 0.1267430099331721
epoch: 14414
Epoch 14414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14414With loss 0.1267430099331721
epoch: 14415
Epoch 14415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14415With loss 0.1267430099331721
epoch: 14416
Epoch 14416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14416With loss 0.1267430099331721
epoch: 14417
Epoch 14417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14417With loss 0.1267430099331721
epoch: 14418
Epoch 14418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14418With loss 0.1267430099331721
epoch: 14419
Epoch 14419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14419With loss 0.1267430099331721
epoch: 14420
Epoch 14420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14420With loss 0.1267430099331721
epoch: 14421
Epoch 14421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14421With loss 0.1267430099331721
epoch: 14422
Epoch 14422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14422With loss 0.1267430099331721
epoch: 14423
Epoch 14423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14423With loss 0.1267430099331721
epoch: 14424
Epoch 14424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14424With loss 0.1267430099331721
epoch: 14425
Epoch 14425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14425With loss 0.1267430099331721
epoch: 14426
Epoch 14426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14426With loss 0.1267430099331721
epoch: 14427
Epoch 14427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14427With loss 0.1267430099331721
epoch: 14428
Epoch 14428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14428With loss 0.1267430099331721
epoch: 14429
Epoch 14429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14429With loss 0.1267430099331721
epoch: 14430
Epoch 14430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14430With loss 0.1267430099331721
epoch: 14431
Epoch 14431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14431With loss 0.1267430099331721
epoch: 14432
Epoch 14432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14432With loss 0.1267430099331721
epoch: 14433
Epoch 14433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14433With loss 0.1267430099331721
epoch: 14434
Epoch 14434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14434With loss 0.1267430099331721
epoch: 14435
Epoch 14435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14435With loss 0.1267430099331721
epoch: 14436
Epoch 14436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14436With loss 0.1267430099331721
epoch: 14437
Epoch 14437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14437With loss 0.1267430099331721
epoch: 14438
Epoch 14438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14438With loss 0.1267430099331721
epoch: 14439
Epoch 14439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14439With loss 0.1267430099331721
epoch: 14440
Epoch 14440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14440With loss 0.1267430099331721
epoch: 14441
Epoch 14441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14441With loss 0.1267430099331721
epoch: 14442
Epoch 14442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14442With loss 0.1267430099331721
epoch: 14443
Epoch 14443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14443With loss 0.1267430099331721
epoch: 14444
Epoch 14444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14444With loss 0.1267430099331721
epoch: 14445
Epoch 14445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14445With loss 0.1267430099331721
epoch: 14446
Epoch 14446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14446With loss 0.1267430099331721
epoch: 14447
Epoch 14447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14447With loss 0.1267430099331721
epoch: 14448
Epoch 14448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14448With loss 0.1267430099331721
epoch: 14449
Epoch 14449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14449With loss 0.1267430099331721
epoch: 14450
Epoch 14450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14450With loss 0.1267430099331721
epoch: 14451
Epoch 14451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14451With loss 0.1267430099331721
epoch: 14452
Epoch 14452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14452With loss 0.1267430099331721
epoch: 14453
Epoch 14453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14453With loss 0.1267430099331721
epoch: 14454
Epoch 14454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14454With loss 0.1267430099331721
epoch: 14455
Epoch 14455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14455With loss 0.1267430099331721
epoch: 14456
Epoch 14456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14456With loss 0.1267430099331721
epoch: 14457
Epoch 14457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14457With loss 0.1267430099331721
epoch: 14458
Epoch 14458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14458With loss 0.1267430099331721
epoch: 14459
Epoch 14459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14459With loss 0.1267430099331721
epoch: 14460
Epoch 14460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14460With loss 0.1267430099331721
epoch: 14461
Epoch 14461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14461With loss 0.1267430099331721
epoch: 14462
Epoch 14462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14462With loss 0.1267430099331721
epoch: 14463
Epoch 14463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14463With loss 0.1267430099331721
epoch: 14464
Epoch 14464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14464With loss 0.1267430099331721
epoch: 14465
Epoch 14465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14465With loss 0.1267430099331721
epoch: 14466
Epoch 14466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14466With loss 0.1267430099331721
epoch: 14467
Epoch 14467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14467With loss 0.1267430099331721
epoch: 14468
Epoch 14468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14468With loss 0.1267430099331721
epoch: 14469
Epoch 14469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14469With loss 0.1267430099331721
epoch: 14470
Epoch 14470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14470With loss 0.1267430099331721
epoch: 14471
Epoch 14471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14471With loss 0.1267430099331721
epoch: 14472
Epoch 14472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14472With loss 0.1267430099331721
epoch: 14473
Epoch 14473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14473With loss 0.1267430099331721
epoch: 14474
Epoch 14474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14474With loss 0.1267430099331721
epoch: 14475
Epoch 14475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14475With loss 0.1267430099331721
epoch: 14476
Epoch 14476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14476With loss 0.1267430099331721
epoch: 14477
Epoch 14477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14477With loss 0.1267430099331721
epoch: 14478
Epoch 14478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14478With loss 0.1267430099331721
epoch: 14479
Epoch 14479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14479With loss 0.1267430099331721
epoch: 14480
Epoch 14480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14480With loss 0.1267430099331721
epoch: 14481
Epoch 14481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14481With loss 0.1267430099331721
epoch: 14482
Epoch 14482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14482With loss 0.1267430099331721
epoch: 14483
Epoch 14483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14483With loss 0.1267430099331721
epoch: 14484
Epoch 14484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14484With loss 0.1267430099331721
epoch: 14485
Epoch 14485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14485With loss 0.1267430099331721
epoch: 14486
Epoch 14486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14486With loss 0.1267430099331721
epoch: 14487
Epoch 14487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14487With loss 0.1267430099331721
epoch: 14488
Epoch 14488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14488With loss 0.1267430099331721
epoch: 14489
Epoch 14489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14489With loss 0.1267430099331721
epoch: 14490
Epoch 14490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14490With loss 0.1267430099331721
epoch: 14491
Epoch 14491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14491With loss 0.1267430099331721
epoch: 14492
Epoch 14492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14492With loss 0.1267430099331721
epoch: 14493
Epoch 14493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14493With loss 0.1267430099331721
epoch: 14494
Epoch 14494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14494With loss 0.1267430099331721
epoch: 14495
Epoch 14495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14495With loss 0.1267430099331721
epoch: 14496
Epoch 14496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14496With loss 0.1267430099331721
epoch: 14497
Epoch 14497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14497With loss 0.1267430099331721
epoch: 14498
Epoch 14498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14498With loss 0.1267430099331721
epoch: 14499
Epoch 14499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14499With loss 0.1267430099331721
epoch: 14500
Epoch 14500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14500With loss 0.1267430099331721
epoch: 14501
Epoch 14501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14501With loss 0.1267430099331721
epoch: 14502
Epoch 14502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14502With loss 0.1267430099331721
epoch: 14503
Epoch 14503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14503With loss 0.1267430099331721
epoch: 14504
Epoch 14504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14504With loss 0.1267430099331721
epoch: 14505
Epoch 14505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14505With loss 0.1267430099331721
epoch: 14506
Epoch 14506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14506With loss 0.1267430099331721
epoch: 14507
Epoch 14507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14507With loss 0.1267430099331721
epoch: 14508
Epoch 14508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14508With loss 0.1267430099331721
epoch: 14509
Epoch 14509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14509With loss 0.1267430099331721
epoch: 14510
Epoch 14510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14510With loss 0.1267430099331721
epoch: 14511
Epoch 14511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14511With loss 0.1267430099331721
epoch: 14512
Epoch 14512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14512With loss 0.1267430099331721
epoch: 14513
Epoch 14513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14513With loss 0.1267430099331721
epoch: 14514
Epoch 14514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14514With loss 0.1267430099331721
epoch: 14515
Epoch 14515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14515With loss 0.1267430099331721
epoch: 14516
Epoch 14516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14516With loss 0.1267430099331721
epoch: 14517
Epoch 14517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14517With loss 0.1267430099331721
epoch: 14518
Epoch 14518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14518With loss 0.1267430099331721
epoch: 14519
Epoch 14519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14519With loss 0.1267430099331721
epoch: 14520
Epoch 14520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14520With loss 0.1267430099331721
epoch: 14521
Epoch 14521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14521With loss 0.1267430099331721
epoch: 14522
Epoch 14522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14522With loss 0.1267430099331721
epoch: 14523
Epoch 14523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14523With loss 0.1267430099331721
epoch: 14524
Epoch 14524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14524With loss 0.1267430099331721
epoch: 14525
Epoch 14525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14525With loss 0.1267430099331721
epoch: 14526
Epoch 14526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14526With loss 0.1267430099331721
epoch: 14527
Epoch 14527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14527With loss 0.1267430099331721
epoch: 14528
Epoch 14528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14528With loss 0.1267430099331721
epoch: 14529
Epoch 14529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14529With loss 0.1267430099331721
epoch: 14530
Epoch 14530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14530With loss 0.1267430099331721
epoch: 14531
Epoch 14531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14531With loss 0.1267430099331721
epoch: 14532
Epoch 14532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14532With loss 0.1267430099331721
epoch: 14533
Epoch 14533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14533With loss 0.1267430099331721
epoch: 14534
Epoch 14534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14534With loss 0.1267430099331721
epoch: 14535
Epoch 14535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14535With loss 0.1267430099331721
epoch: 14536
Epoch 14536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14536With loss 0.1267430099331721
epoch: 14537
Epoch 14537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14537With loss 0.1267430099331721
epoch: 14538
Epoch 14538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14538With loss 0.1267430099331721
epoch: 14539
Epoch 14539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14539With loss 0.1267430099331721
epoch: 14540
Epoch 14540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14540With loss 0.1267430099331721
epoch: 14541
Epoch 14541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14541With loss 0.1267430099331721
epoch: 14542
Epoch 14542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14542With loss 0.1267430099331721
epoch: 14543
Epoch 14543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14543With loss 0.1267430099331721
epoch: 14544
Epoch 14544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14544With loss 0.1267430099331721
epoch: 14545
Epoch 14545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14545With loss 0.1267430099331721
epoch: 14546
Epoch 14546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14546With loss 0.1267430099331721
epoch: 14547
Epoch 14547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14547With loss 0.1267430099331721
epoch: 14548
Epoch 14548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14548With loss 0.1267430099331721
epoch: 14549
Epoch 14549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14549With loss 0.1267430099331721
epoch: 14550
Epoch 14550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14550With loss 0.1267430099331721
epoch: 14551
Epoch 14551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14551With loss 0.1267430099331721
epoch: 14552
Epoch 14552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14552With loss 0.1267430099331721
epoch: 14553
Epoch 14553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14553With loss 0.1267430099331721
epoch: 14554
Epoch 14554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14554With loss 0.1267430099331721
epoch: 14555
Epoch 14555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14555With loss 0.1267430099331721
epoch: 14556
Epoch 14556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14556With loss 0.1267430099331721
epoch: 14557
Epoch 14557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14557With loss 0.1267430099331721
epoch: 14558
Epoch 14558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14558With loss 0.1267430099331721
epoch: 14559
Epoch 14559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14559With loss 0.1267430099331721
epoch: 14560
Epoch 14560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14560With loss 0.1267430099331721
epoch: 14561
Epoch 14561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14561With loss 0.1267430099331721
epoch: 14562
Epoch 14562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14562With loss 0.1267430099331721
epoch: 14563
Epoch 14563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14563With loss 0.1267430099331721
epoch: 14564
Epoch 14564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14564With loss 0.1267430099331721
epoch: 14565
Epoch 14565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14565With loss 0.1267430099331721
epoch: 14566
Epoch 14566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14566With loss 0.1267430099331721
epoch: 14567
Epoch 14567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14567With loss 0.1267430099331721
epoch: 14568
Epoch 14568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14568With loss 0.1267430099331721
epoch: 14569
Epoch 14569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14569With loss 0.1267430099331721
epoch: 14570
Epoch 14570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14570With loss 0.1267430099331721
epoch: 14571
Epoch 14571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14571With loss 0.1267430099331721
epoch: 14572
Epoch 14572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14572With loss 0.1267430099331721
epoch: 14573
Epoch 14573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14573With loss 0.1267430099331721
epoch: 14574
Epoch 14574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14574With loss 0.1267430099331721
epoch: 14575
Epoch 14575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14575With loss 0.1267430099331721
epoch: 14576
Epoch 14576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14576With loss 0.1267430099331721
epoch: 14577
Epoch 14577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14577With loss 0.1267430099331721
epoch: 14578
Epoch 14578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14578With loss 0.1267430099331721
epoch: 14579
Epoch 14579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14579With loss 0.1267430099331721
epoch: 14580
Epoch 14580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14580With loss 0.1267430099331721
epoch: 14581
Epoch 14581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14581With loss 0.1267430099331721
epoch: 14582
Epoch 14582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14582With loss 0.1267430099331721
epoch: 14583
Epoch 14583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14583With loss 0.1267430099331721
epoch: 14584
Epoch 14584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14584With loss 0.1267430099331721
epoch: 14585
Epoch 14585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14585With loss 0.1267430099331721
epoch: 14586
Epoch 14586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14586With loss 0.1267430099331721
epoch: 14587
Epoch 14587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14587With loss 0.1267430099331721
epoch: 14588
Epoch 14588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14588With loss 0.1267430099331721
epoch: 14589
Epoch 14589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14589With loss 0.1267430099331721
epoch: 14590
Epoch 14590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14590With loss 0.1267430099331721
epoch: 14591
Epoch 14591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14591With loss 0.1267430099331721
epoch: 14592
Epoch 14592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14592With loss 0.1267430099331721
epoch: 14593
Epoch 14593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14593With loss 0.1267430099331721
epoch: 14594
Epoch 14594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14594With loss 0.1267430099331721
epoch: 14595
Epoch 14595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14595With loss 0.1267430099331721
epoch: 14596
Epoch 14596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14596With loss 0.1267430099331721
epoch: 14597
Epoch 14597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14597With loss 0.1267430099331721
epoch: 14598
Epoch 14598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14598With loss 0.1267430099331721
epoch: 14599
Epoch 14599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14599With loss 0.1267430099331721
epoch: 14600
Epoch 14600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14600With loss 0.1267430099331721
epoch: 14601
Epoch 14601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14601With loss 0.1267430099331721
epoch: 14602
Epoch 14602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14602With loss 0.1267430099331721
epoch: 14603
Epoch 14603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14603With loss 0.1267430099331721
epoch: 14604
Epoch 14604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14604With loss 0.1267430099331721
epoch: 14605
Epoch 14605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14605With loss 0.1267430099331721
epoch: 14606
Epoch 14606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14606With loss 0.1267430099331721
epoch: 14607
Epoch 14607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14607With loss 0.1267430099331721
epoch: 14608
Epoch 14608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14608With loss 0.1267430099331721
epoch: 14609
Epoch 14609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14609With loss 0.1267430099331721
epoch: 14610
Epoch 14610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14610With loss 0.1267430099331721
epoch: 14611
Epoch 14611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14611With loss 0.1267430099331721
epoch: 14612
Epoch 14612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14612With loss 0.1267430099331721
epoch: 14613
Epoch 14613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14613With loss 0.1267430099331721
epoch: 14614
Epoch 14614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14614With loss 0.1267430099331721
epoch: 14615
Epoch 14615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14615With loss 0.1267430099331721
epoch: 14616
Epoch 14616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14616With loss 0.1267430099331721
epoch: 14617
Epoch 14617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14617With loss 0.1267430099331721
epoch: 14618
Epoch 14618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14618With loss 0.1267430099331721
epoch: 14619
Epoch 14619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14619With loss 0.1267430099331721
epoch: 14620
Epoch 14620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14620With loss 0.1267430099331721
epoch: 14621
Epoch 14621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14621With loss 0.1267430099331721
epoch: 14622
Epoch 14622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14622With loss 0.1267430099331721
epoch: 14623
Epoch 14623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14623With loss 0.1267430099331721
epoch: 14624
Epoch 14624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14624With loss 0.1267430099331721
epoch: 14625
Epoch 14625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14625With loss 0.1267430099331721
epoch: 14626
Epoch 14626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14626With loss 0.1267430099331721
epoch: 14627
Epoch 14627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14627With loss 0.1267430099331721
epoch: 14628
Epoch 14628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14628With loss 0.1267430099331721
epoch: 14629
Epoch 14629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14629With loss 0.1267430099331721
epoch: 14630
Epoch 14630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14630With loss 0.1267430099331721
epoch: 14631
Epoch 14631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14631With loss 0.1267430099331721
epoch: 14632
Epoch 14632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14632With loss 0.1267430099331721
epoch: 14633
Epoch 14633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14633With loss 0.1267430099331721
epoch: 14634
Epoch 14634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14634With loss 0.1267430099331721
epoch: 14635
Epoch 14635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14635With loss 0.1267430099331721
epoch: 14636
Epoch 14636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14636With loss 0.1267430099331721
epoch: 14637
Epoch 14637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14637With loss 0.1267430099331721
epoch: 14638
Epoch 14638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14638With loss 0.1267430099331721
epoch: 14639
Epoch 14639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14639With loss 0.1267430099331721
epoch: 14640
Epoch 14640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14640With loss 0.1267430099331721
epoch: 14641
Epoch 14641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14641With loss 0.1267430099331721
epoch: 14642
Epoch 14642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14642With loss 0.1267430099331721
epoch: 14643
Epoch 14643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14643With loss 0.1267430099331721
epoch: 14644
Epoch 14644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14644With loss 0.1267430099331721
epoch: 14645
Epoch 14645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14645With loss 0.1267430099331721
epoch: 14646
Epoch 14646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14646With loss 0.1267430099331721
epoch: 14647
Epoch 14647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14647With loss 0.1267430099331721
epoch: 14648
Epoch 14648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14648With loss 0.1267430099331721
epoch: 14649
Epoch 14649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14649With loss 0.1267430099331721
epoch: 14650
Epoch 14650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14650With loss 0.1267430099331721
epoch: 14651
Epoch 14651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14651With loss 0.1267430099331721
epoch: 14652
Epoch 14652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14652With loss 0.1267430099331721
epoch: 14653
Epoch 14653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14653With loss 0.1267430099331721
epoch: 14654
Epoch 14654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14654With loss 0.1267430099331721
epoch: 14655
Epoch 14655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14655With loss 0.1267430099331721
epoch: 14656
Epoch 14656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14656With loss 0.1267430099331721
epoch: 14657
Epoch 14657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14657With loss 0.1267430099331721
epoch: 14658
Epoch 14658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14658With loss 0.1267430099331721
epoch: 14659
Epoch 14659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14659With loss 0.1267430099331721
epoch: 14660
Epoch 14660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14660With loss 0.1267430099331721
epoch: 14661
Epoch 14661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14661With loss 0.1267430099331721
epoch: 14662
Epoch 14662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14662With loss 0.1267430099331721
epoch: 14663
Epoch 14663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14663With loss 0.1267430099331721
epoch: 14664
Epoch 14664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14664With loss 0.1267430099331721
epoch: 14665
Epoch 14665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14665With loss 0.1267430099331721
epoch: 14666
Epoch 14666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14666With loss 0.1267430099331721
epoch: 14667
Epoch 14667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14667With loss 0.1267430099331721
epoch: 14668
Epoch 14668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14668With loss 0.1267430099331721
epoch: 14669
Epoch 14669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14669With loss 0.1267430099331721
epoch: 14670
Epoch 14670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14670With loss 0.1267430099331721
epoch: 14671
Epoch 14671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14671With loss 0.1267430099331721
epoch: 14672
Epoch 14672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14672With loss 0.1267430099331721
epoch: 14673
Epoch 14673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14673With loss 0.1267430099331721
epoch: 14674
Epoch 14674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14674With loss 0.1267430099331721
epoch: 14675
Epoch 14675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14675With loss 0.1267430099331721
epoch: 14676
Epoch 14676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14676With loss 0.1267430099331721
epoch: 14677
Epoch 14677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14677With loss 0.1267430099331721
epoch: 14678
Epoch 14678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14678With loss 0.1267430099331721
epoch: 14679
Epoch 14679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14679With loss 0.1267430099331721
epoch: 14680
Epoch 14680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14680With loss 0.1267430099331721
epoch: 14681
Epoch 14681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14681With loss 0.1267430099331721
epoch: 14682
Epoch 14682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14682With loss 0.1267430099331721
epoch: 14683
Epoch 14683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14683With loss 0.1267430099331721
epoch: 14684
Epoch 14684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14684With loss 0.1267430099331721
epoch: 14685
Epoch 14685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14685With loss 0.1267430099331721
epoch: 14686
Epoch 14686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14686With loss 0.1267430099331721
epoch: 14687
Epoch 14687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14687With loss 0.1267430099331721
epoch: 14688
Epoch 14688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14688With loss 0.1267430099331721
epoch: 14689
Epoch 14689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14689With loss 0.1267430099331721
epoch: 14690
Epoch 14690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14690With loss 0.1267430099331721
epoch: 14691
Epoch 14691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14691With loss 0.1267430099331721
epoch: 14692
Epoch 14692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14692With loss 0.1267430099331721
epoch: 14693
Epoch 14693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14693With loss 0.1267430099331721
epoch: 14694
Epoch 14694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14694With loss 0.1267430099331721
epoch: 14695
Epoch 14695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14695With loss 0.1267430099331721
epoch: 14696
Epoch 14696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14696With loss 0.1267430099331721
epoch: 14697
Epoch 14697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14697With loss 0.1267430099331721
epoch: 14698
Epoch 14698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14698With loss 0.1267430099331721
epoch: 14699
Epoch 14699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14699With loss 0.1267430099331721
epoch: 14700
Epoch 14700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14700With loss 0.1267430099331721
epoch: 14701
Epoch 14701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14701With loss 0.1267430099331721
epoch: 14702
Epoch 14702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14702With loss 0.1267430099331721
epoch: 14703
Epoch 14703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14703With loss 0.1267430099331721
epoch: 14704
Epoch 14704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14704With loss 0.1267430099331721
epoch: 14705
Epoch 14705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14705With loss 0.1267430099331721
epoch: 14706
Epoch 14706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14706With loss 0.1267430099331721
epoch: 14707
Epoch 14707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14707With loss 0.1267430099331721
epoch: 14708
Epoch 14708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14708With loss 0.1267430099331721
epoch: 14709
Epoch 14709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14709With loss 0.1267430099331721
epoch: 14710
Epoch 14710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14710With loss 0.1267430099331721
epoch: 14711
Epoch 14711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14711With loss 0.1267430099331721
epoch: 14712
Epoch 14712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14712With loss 0.1267430099331721
epoch: 14713
Epoch 14713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14713With loss 0.1267430099331721
epoch: 14714
Epoch 14714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14714With loss 0.1267430099331721
epoch: 14715
Epoch 14715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14715With loss 0.1267430099331721
epoch: 14716
Epoch 14716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14716With loss 0.1267430099331721
epoch: 14717
Epoch 14717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14717With loss 0.1267430099331721
epoch: 14718
Epoch 14718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14718With loss 0.1267430099331721
epoch: 14719
Epoch 14719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14719With loss 0.1267430099331721
epoch: 14720
Epoch 14720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14720With loss 0.1267430099331721
epoch: 14721
Epoch 14721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14721With loss 0.1267430099331721
epoch: 14722
Epoch 14722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14722With loss 0.1267430099331721
epoch: 14723
Epoch 14723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14723With loss 0.1267430099331721
epoch: 14724
Epoch 14724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14724With loss 0.1267430099331721
epoch: 14725
Epoch 14725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14725With loss 0.1267430099331721
epoch: 14726
Epoch 14726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14726With loss 0.1267430099331721
epoch: 14727
Epoch 14727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14727With loss 0.1267430099331721
epoch: 14728
Epoch 14728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14728With loss 0.1267430099331721
epoch: 14729
Epoch 14729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14729With loss 0.1267430099331721
epoch: 14730
Epoch 14730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14730With loss 0.1267430099331721
epoch: 14731
Epoch 14731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14731With loss 0.1267430099331721
epoch: 14732
Epoch 14732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14732With loss 0.1267430099331721
epoch: 14733
Epoch 14733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14733With loss 0.1267430099331721
epoch: 14734
Epoch 14734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14734With loss 0.1267430099331721
epoch: 14735
Epoch 14735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14735With loss 0.1267430099331721
epoch: 14736
Epoch 14736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14736With loss 0.1267430099331721
epoch: 14737
Epoch 14737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14737With loss 0.1267430099331721
epoch: 14738
Epoch 14738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14738With loss 0.1267430099331721
epoch: 14739
Epoch 14739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14739With loss 0.1267430099331721
epoch: 14740
Epoch 14740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14740With loss 0.1267430099331721
epoch: 14741
Epoch 14741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14741With loss 0.1267430099331721
epoch: 14742
Epoch 14742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14742With loss 0.1267430099331721
epoch: 14743
Epoch 14743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14743With loss 0.1267430099331721
epoch: 14744
Epoch 14744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14744With loss 0.1267430099331721
epoch: 14745
Epoch 14745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14745With loss 0.1267430099331721
epoch: 14746
Epoch 14746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14746With loss 0.1267430099331721
epoch: 14747
Epoch 14747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14747With loss 0.1267430099331721
epoch: 14748
Epoch 14748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14748With loss 0.1267430099331721
epoch: 14749
Epoch 14749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14749With loss 0.1267430099331721
epoch: 14750
Epoch 14750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14750With loss 0.1267430099331721
epoch: 14751
Epoch 14751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14751With loss 0.1267430099331721
epoch: 14752
Epoch 14752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14752With loss 0.1267430099331721
epoch: 14753
Epoch 14753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14753With loss 0.1267430099331721
epoch: 14754
Epoch 14754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14754With loss 0.1267430099331721
epoch: 14755
Epoch 14755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14755With loss 0.1267430099331721
epoch: 14756
Epoch 14756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14756With loss 0.1267430099331721
epoch: 14757
Epoch 14757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14757With loss 0.1267430099331721
epoch: 14758
Epoch 14758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14758With loss 0.1267430099331721
epoch: 14759
Epoch 14759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14759With loss 0.1267430099331721
epoch: 14760
Epoch 14760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14760With loss 0.1267430099331721
epoch: 14761
Epoch 14761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14761With loss 0.1267430099331721
epoch: 14762
Epoch 14762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14762With loss 0.1267430099331721
epoch: 14763
Epoch 14763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14763With loss 0.1267430099331721
epoch: 14764
Epoch 14764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14764With loss 0.1267430099331721
epoch: 14765
Epoch 14765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14765With loss 0.1267430099331721
epoch: 14766
Epoch 14766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14766With loss 0.1267430099331721
epoch: 14767
Epoch 14767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14767With loss 0.1267430099331721
epoch: 14768
Epoch 14768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14768With loss 0.1267430099331721
epoch: 14769
Epoch 14769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14769With loss 0.1267430099331721
epoch: 14770
Epoch 14770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14770With loss 0.1267430099331721
epoch: 14771
Epoch 14771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14771With loss 0.1267430099331721
epoch: 14772
Epoch 14772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14772With loss 0.1267430099331721
epoch: 14773
Epoch 14773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14773With loss 0.1267430099331721
epoch: 14774
Epoch 14774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14774With loss 0.1267430099331721
epoch: 14775
Epoch 14775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14775With loss 0.1267430099331721
epoch: 14776
Epoch 14776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14776With loss 0.1267430099331721
epoch: 14777
Epoch 14777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14777With loss 0.1267430099331721
epoch: 14778
Epoch 14778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14778With loss 0.1267430099331721
epoch: 14779
Epoch 14779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14779With loss 0.1267430099331721
epoch: 14780
Epoch 14780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14780With loss 0.1267430099331721
epoch: 14781
Epoch 14781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14781With loss 0.1267430099331721
epoch: 14782
Epoch 14782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14782With loss 0.1267430099331721
epoch: 14783
Epoch 14783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14783With loss 0.1267430099331721
epoch: 14784
Epoch 14784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14784With loss 0.1267430099331721
epoch: 14785
Epoch 14785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14785With loss 0.1267430099331721
epoch: 14786
Epoch 14786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14786With loss 0.1267430099331721
epoch: 14787
Epoch 14787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14787With loss 0.1267430099331721
epoch: 14788
Epoch 14788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14788With loss 0.1267430099331721
epoch: 14789
Epoch 14789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14789With loss 0.1267430099331721
epoch: 14790
Epoch 14790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14790With loss 0.1267430099331721
epoch: 14791
Epoch 14791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14791With loss 0.1267430099331721
epoch: 14792
Epoch 14792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14792With loss 0.1267430099331721
epoch: 14793
Epoch 14793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14793With loss 0.1267430099331721
epoch: 14794
Epoch 14794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14794With loss 0.1267430099331721
epoch: 14795
Epoch 14795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14795With loss 0.1267430099331721
epoch: 14796
Epoch 14796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14796With loss 0.1267430099331721
epoch: 14797
Epoch 14797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14797With loss 0.1267430099331721
epoch: 14798
Epoch 14798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14798With loss 0.1267430099331721
epoch: 14799
Epoch 14799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14799With loss 0.1267430099331721
epoch: 14800
Epoch 14800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14800With loss 0.1267430099331721
epoch: 14801
Epoch 14801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14801With loss 0.1267430099331721
epoch: 14802
Epoch 14802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14802With loss 0.1267430099331721
epoch: 14803
Epoch 14803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14803With loss 0.1267430099331721
epoch: 14804
Epoch 14804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14804With loss 0.1267430099331721
epoch: 14805
Epoch 14805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14805With loss 0.1267430099331721
epoch: 14806
Epoch 14806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14806With loss 0.1267430099331721
epoch: 14807
Epoch 14807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14807With loss 0.1267430099331721
epoch: 14808
Epoch 14808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14808With loss 0.1267430099331721
epoch: 14809
Epoch 14809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14809With loss 0.1267430099331721
epoch: 14810
Epoch 14810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14810With loss 0.1267430099331721
epoch: 14811
Epoch 14811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14811With loss 0.1267430099331721
epoch: 14812
Epoch 14812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14812With loss 0.1267430099331721
epoch: 14813
Epoch 14813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14813With loss 0.1267430099331721
epoch: 14814
Epoch 14814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14814With loss 0.1267430099331721
epoch: 14815
Epoch 14815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14815With loss 0.1267430099331721
epoch: 14816
Epoch 14816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14816With loss 0.1267430099331721
epoch: 14817
Epoch 14817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14817With loss 0.1267430099331721
epoch: 14818
Epoch 14818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14818With loss 0.1267430099331721
epoch: 14819
Epoch 14819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14819With loss 0.1267430099331721
epoch: 14820
Epoch 14820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14820With loss 0.1267430099331721
epoch: 14821
Epoch 14821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14821With loss 0.1267430099331721
epoch: 14822
Epoch 14822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14822With loss 0.1267430099331721
epoch: 14823
Epoch 14823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14823With loss 0.1267430099331721
epoch: 14824
Epoch 14824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14824With loss 0.1267430099331721
epoch: 14825
Epoch 14825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14825With loss 0.1267430099331721
epoch: 14826
Epoch 14826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14826With loss 0.1267430099331721
epoch: 14827
Epoch 14827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14827With loss 0.1267430099331721
epoch: 14828
Epoch 14828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14828With loss 0.1267430099331721
epoch: 14829
Epoch 14829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14829With loss 0.1267430099331721
epoch: 14830
Epoch 14830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14830With loss 0.1267430099331721
epoch: 14831
Epoch 14831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14831With loss 0.1267430099331721
epoch: 14832
Epoch 14832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14832With loss 0.1267430099331721
epoch: 14833
Epoch 14833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14833With loss 0.1267430099331721
epoch: 14834
Epoch 14834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14834With loss 0.1267430099331721
epoch: 14835
Epoch 14835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14835With loss 0.1267430099331721
epoch: 14836
Epoch 14836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14836With loss 0.1267430099331721
epoch: 14837
Epoch 14837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14837With loss 0.1267430099331721
epoch: 14838
Epoch 14838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14838With loss 0.1267430099331721
epoch: 14839
Epoch 14839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14839With loss 0.1267430099331721
epoch: 14840
Epoch 14840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14840With loss 0.1267430099331721
epoch: 14841
Epoch 14841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14841With loss 0.1267430099331721
epoch: 14842
Epoch 14842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14842With loss 0.1267430099331721
epoch: 14843
Epoch 14843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14843With loss 0.1267430099331721
epoch: 14844
Epoch 14844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14844With loss 0.1267430099331721
epoch: 14845
Epoch 14845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14845With loss 0.1267430099331721
epoch: 14846
Epoch 14846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14846With loss 0.1267430099331721
epoch: 14847
Epoch 14847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14847With loss 0.1267430099331721
epoch: 14848
Epoch 14848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14848With loss 0.1267430099331721
epoch: 14849
Epoch 14849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14849With loss 0.1267430099331721
epoch: 14850
Epoch 14850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14850With loss 0.1267430099331721
epoch: 14851
Epoch 14851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14851With loss 0.1267430099331721
epoch: 14852
Epoch 14852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14852With loss 0.1267430099331721
epoch: 14853
Epoch 14853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14853With loss 0.1267430099331721
epoch: 14854
Epoch 14854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14854With loss 0.1267430099331721
epoch: 14855
Epoch 14855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14855With loss 0.1267430099331721
epoch: 14856
Epoch 14856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14856With loss 0.1267430099331721
epoch: 14857
Epoch 14857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14857With loss 0.1267430099331721
epoch: 14858
Epoch 14858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14858With loss 0.1267430099331721
epoch: 14859
Epoch 14859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14859With loss 0.1267430099331721
epoch: 14860
Epoch 14860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14860With loss 0.1267430099331721
epoch: 14861
Epoch 14861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14861With loss 0.1267430099331721
epoch: 14862
Epoch 14862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14862With loss 0.1267430099331721
epoch: 14863
Epoch 14863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14863With loss 0.1267430099331721
epoch: 14864
Epoch 14864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14864With loss 0.1267430099331721
epoch: 14865
Epoch 14865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14865With loss 0.1267430099331721
epoch: 14866
Epoch 14866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14866With loss 0.1267430099331721
epoch: 14867
Epoch 14867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14867With loss 0.1267430099331721
epoch: 14868
Epoch 14868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14868With loss 0.1267430099331721
epoch: 14869
Epoch 14869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14869With loss 0.1267430099331721
epoch: 14870
Epoch 14870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14870With loss 0.1267430099331721
epoch: 14871
Epoch 14871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14871With loss 0.1267430099331721
epoch: 14872
Epoch 14872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14872With loss 0.1267430099331721
epoch: 14873
Epoch 14873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14873With loss 0.1267430099331721
epoch: 14874
Epoch 14874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14874With loss 0.1267430099331721
epoch: 14875
Epoch 14875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14875With loss 0.1267430099331721
epoch: 14876
Epoch 14876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14876With loss 0.1267430099331721
epoch: 14877
Epoch 14877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14877With loss 0.1267430099331721
epoch: 14878
Epoch 14878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14878With loss 0.1267430099331721
epoch: 14879
Epoch 14879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14879With loss 0.1267430099331721
epoch: 14880
Epoch 14880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14880With loss 0.1267430099331721
epoch: 14881
Epoch 14881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14881With loss 0.1267430099331721
epoch: 14882
Epoch 14882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14882With loss 0.1267430099331721
epoch: 14883
Epoch 14883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14883With loss 0.1267430099331721
epoch: 14884
Epoch 14884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14884With loss 0.1267430099331721
epoch: 14885
Epoch 14885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14885With loss 0.1267430099331721
epoch: 14886
Epoch 14886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14886With loss 0.1267430099331721
epoch: 14887
Epoch 14887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14887With loss 0.1267430099331721
epoch: 14888
Epoch 14888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14888With loss 0.1267430099331721
epoch: 14889
Epoch 14889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14889With loss 0.1267430099331721
epoch: 14890
Epoch 14890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14890With loss 0.1267430099331721
epoch: 14891
Epoch 14891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14891With loss 0.1267430099331721
epoch: 14892
Epoch 14892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14892With loss 0.1267430099331721
epoch: 14893
Epoch 14893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14893With loss 0.1267430099331721
epoch: 14894
Epoch 14894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14894With loss 0.1267430099331721
epoch: 14895
Epoch 14895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14895With loss 0.1267430099331721
epoch: 14896
Epoch 14896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14896With loss 0.1267430099331721
epoch: 14897
Epoch 14897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14897With loss 0.1267430099331721
epoch: 14898
Epoch 14898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14898With loss 0.1267430099331721
epoch: 14899
Epoch 14899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14899With loss 0.1267430099331721
epoch: 14900
Epoch 14900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14900With loss 0.1267430099331721
epoch: 14901
Epoch 14901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14901With loss 0.1267430099331721
epoch: 14902
Epoch 14902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14902With loss 0.1267430099331721
epoch: 14903
Epoch 14903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14903With loss 0.1267430099331721
epoch: 14904
Epoch 14904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14904With loss 0.1267430099331721
epoch: 14905
Epoch 14905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14905With loss 0.1267430099331721
epoch: 14906
Epoch 14906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14906With loss 0.1267430099331721
epoch: 14907
Epoch 14907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14907With loss 0.1267430099331721
epoch: 14908
Epoch 14908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14908With loss 0.1267430099331721
epoch: 14909
Epoch 14909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14909With loss 0.1267430099331721
epoch: 14910
Epoch 14910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14910With loss 0.1267430099331721
epoch: 14911
Epoch 14911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14911With loss 0.1267430099331721
epoch: 14912
Epoch 14912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14912With loss 0.1267430099331721
epoch: 14913
Epoch 14913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14913With loss 0.1267430099331721
epoch: 14914
Epoch 14914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14914With loss 0.1267430099331721
epoch: 14915
Epoch 14915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14915With loss 0.1267430099331721
epoch: 14916
Epoch 14916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14916With loss 0.1267430099331721
epoch: 14917
Epoch 14917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14917With loss 0.1267430099331721
epoch: 14918
Epoch 14918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14918With loss 0.1267430099331721
epoch: 14919
Epoch 14919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14919With loss 0.1267430099331721
epoch: 14920
Epoch 14920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14920With loss 0.1267430099331721
epoch: 14921
Epoch 14921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14921With loss 0.1267430099331721
epoch: 14922
Epoch 14922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14922With loss 0.1267430099331721
epoch: 14923
Epoch 14923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14923With loss 0.1267430099331721
epoch: 14924
Epoch 14924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14924With loss 0.1267430099331721
epoch: 14925
Epoch 14925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14925With loss 0.1267430099331721
epoch: 14926
Epoch 14926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14926With loss 0.1267430099331721
epoch: 14927
Epoch 14927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14927With loss 0.1267430099331721
epoch: 14928
Epoch 14928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14928With loss 0.1267430099331721
epoch: 14929
Epoch 14929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14929With loss 0.1267430099331721
epoch: 14930
Epoch 14930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14930With loss 0.1267430099331721
epoch: 14931
Epoch 14931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14931With loss 0.1267430099331721
epoch: 14932
Epoch 14932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14932With loss 0.1267430099331721
epoch: 14933
Epoch 14933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14933With loss 0.1267430099331721
epoch: 14934
Epoch 14934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14934With loss 0.1267430099331721
epoch: 14935
Epoch 14935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14935With loss 0.1267430099331721
epoch: 14936
Epoch 14936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14936With loss 0.1267430099331721
epoch: 14937
Epoch 14937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14937With loss 0.1267430099331721
epoch: 14938
Epoch 14938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14938With loss 0.1267430099331721
epoch: 14939
Epoch 14939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14939With loss 0.1267430099331721
epoch: 14940
Epoch 14940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14940With loss 0.1267430099331721
epoch: 14941
Epoch 14941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14941With loss 0.1267430099331721
epoch: 14942
Epoch 14942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14942With loss 0.1267430099331721
epoch: 14943
Epoch 14943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14943With loss 0.1267430099331721
epoch: 14944
Epoch 14944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14944With loss 0.1267430099331721
epoch: 14945
Epoch 14945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14945With loss 0.1267430099331721
epoch: 14946
Epoch 14946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14946With loss 0.1267430099331721
epoch: 14947
Epoch 14947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14947With loss 0.1267430099331721
epoch: 14948
Epoch 14948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14948With loss 0.1267430099331721
epoch: 14949
Epoch 14949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14949With loss 0.1267430099331721
epoch: 14950
Epoch 14950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14950With loss 0.1267430099331721
epoch: 14951
Epoch 14951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14951With loss 0.1267430099331721
epoch: 14952
Epoch 14952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14952With loss 0.1267430099331721
epoch: 14953
Epoch 14953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14953With loss 0.1267430099331721
epoch: 14954
Epoch 14954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14954With loss 0.1267430099331721
epoch: 14955
Epoch 14955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14955With loss 0.1267430099331721
epoch: 14956
Epoch 14956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14956With loss 0.1267430099331721
epoch: 14957
Epoch 14957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14957With loss 0.1267430099331721
epoch: 14958
Epoch 14958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14958With loss 0.1267430099331721
epoch: 14959
Epoch 14959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14959With loss 0.1267430099331721
epoch: 14960
Epoch 14960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14960With loss 0.1267430099331721
epoch: 14961
Epoch 14961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14961With loss 0.1267430099331721
epoch: 14962
Epoch 14962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14962With loss 0.1267430099331721
epoch: 14963
Epoch 14963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14963With loss 0.1267430099331721
epoch: 14964
Epoch 14964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14964With loss 0.1267430099331721
epoch: 14965
Epoch 14965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14965With loss 0.1267430099331721
epoch: 14966
Epoch 14966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14966With loss 0.1267430099331721
epoch: 14967
Epoch 14967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14967With loss 0.1267430099331721
epoch: 14968
Epoch 14968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14968With loss 0.1267430099331721
epoch: 14969
Epoch 14969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14969With loss 0.1267430099331721
epoch: 14970
Epoch 14970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14970With loss 0.1267430099331721
epoch: 14971
Epoch 14971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14971With loss 0.1267430099331721
epoch: 14972
Epoch 14972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14972With loss 0.1267430099331721
epoch: 14973
Epoch 14973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14973With loss 0.1267430099331721
epoch: 14974
Epoch 14974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14974With loss 0.1267430099331721
epoch: 14975
Epoch 14975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14975With loss 0.1267430099331721
epoch: 14976
Epoch 14976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14976With loss 0.1267430099331721
epoch: 14977
Epoch 14977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14977With loss 0.1267430099331721
epoch: 14978
Epoch 14978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14978With loss 0.1267430099331721
epoch: 14979
Epoch 14979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14979With loss 0.1267430099331721
epoch: 14980
Epoch 14980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14980With loss 0.1267430099331721
epoch: 14981
Epoch 14981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14981With loss 0.1267430099331721
epoch: 14982
Epoch 14982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14982With loss 0.1267430099331721
epoch: 14983
Epoch 14983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14983With loss 0.1267430099331721
epoch: 14984
Epoch 14984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14984With loss 0.1267430099331721
epoch: 14985
Epoch 14985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14985With loss 0.1267430099331721
epoch: 14986
Epoch 14986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14986With loss 0.1267430099331721
epoch: 14987
Epoch 14987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14987With loss 0.1267430099331721
epoch: 14988
Epoch 14988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14988With loss 0.1267430099331721
epoch: 14989
Epoch 14989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14989With loss 0.1267430099331721
epoch: 14990
Epoch 14990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14990With loss 0.1267430099331721
epoch: 14991
Epoch 14991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14991With loss 0.1267430099331721
epoch: 14992
Epoch 14992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14992With loss 0.1267430099331721
epoch: 14993
Epoch 14993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14993With loss 0.1267430099331721
epoch: 14994
Epoch 14994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14994With loss 0.1267430099331721
epoch: 14995
Epoch 14995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14995With loss 0.1267430099331721
epoch: 14996
Epoch 14996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14996With loss 0.1267430099331721
epoch: 14997
Epoch 14997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14997With loss 0.1267430099331721
epoch: 14998
Epoch 14998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14998With loss 0.1267430099331721
epoch: 14999
Epoch 14999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 14999With loss 0.1267430099331721
epoch: 15000
Epoch 15000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15000With loss 0.1267430099331721
epoch: 15001
Epoch 15001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15001With loss 0.1267430099331721
epoch: 15002
Epoch 15002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15002With loss 0.1267430099331721
epoch: 15003
Epoch 15003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15003With loss 0.1267430099331721
epoch: 15004
Epoch 15004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15004With loss 0.1267430099331721
epoch: 15005
Epoch 15005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15005With loss 0.1267430099331721
epoch: 15006
Epoch 15006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15006With loss 0.1267430099331721
epoch: 15007
Epoch 15007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15007With loss 0.1267430099331721
epoch: 15008
Epoch 15008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15008With loss 0.1267430099331721
epoch: 15009
Epoch 15009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15009With loss 0.1267430099331721
epoch: 15010
Epoch 15010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15010With loss 0.1267430099331721
epoch: 15011
Epoch 15011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15011With loss 0.1267430099331721
epoch: 15012
Epoch 15012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15012With loss 0.1267430099331721
epoch: 15013
Epoch 15013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15013With loss 0.1267430099331721
epoch: 15014
Epoch 15014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15014With loss 0.1267430099331721
epoch: 15015
Epoch 15015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15015With loss 0.1267430099331721
epoch: 15016
Epoch 15016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15016With loss 0.1267430099331721
epoch: 15017
Epoch 15017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15017With loss 0.1267430099331721
epoch: 15018
Epoch 15018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15018With loss 0.1267430099331721
epoch: 15019
Epoch 15019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15019With loss 0.1267430099331721
epoch: 15020
Epoch 15020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15020With loss 0.1267430099331721
epoch: 15021
Epoch 15021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15021With loss 0.1267430099331721
epoch: 15022
Epoch 15022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15022With loss 0.1267430099331721
epoch: 15023
Epoch 15023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15023With loss 0.1267430099331721
epoch: 15024
Epoch 15024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15024With loss 0.1267430099331721
epoch: 15025
Epoch 15025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15025With loss 0.1267430099331721
epoch: 15026
Epoch 15026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15026With loss 0.1267430099331721
epoch: 15027
Epoch 15027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15027With loss 0.1267430099331721
epoch: 15028
Epoch 15028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15028With loss 0.1267430099331721
epoch: 15029
Epoch 15029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15029With loss 0.1267430099331721
epoch: 15030
Epoch 15030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15030With loss 0.1267430099331721
epoch: 15031
Epoch 15031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15031With loss 0.1267430099331721
epoch: 15032
Epoch 15032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15032With loss 0.1267430099331721
epoch: 15033
Epoch 15033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15033With loss 0.1267430099331721
epoch: 15034
Epoch 15034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15034With loss 0.1267430099331721
epoch: 15035
Epoch 15035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15035With loss 0.1267430099331721
epoch: 15036
Epoch 15036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15036With loss 0.1267430099331721
epoch: 15037
Epoch 15037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15037With loss 0.1267430099331721
epoch: 15038
Epoch 15038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15038With loss 0.1267430099331721
epoch: 15039
Epoch 15039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15039With loss 0.1267430099331721
epoch: 15040
Epoch 15040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15040With loss 0.1267430099331721
epoch: 15041
Epoch 15041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15041With loss 0.1267430099331721
epoch: 15042
Epoch 15042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15042With loss 0.1267430099331721
epoch: 15043
Epoch 15043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15043With loss 0.1267430099331721
epoch: 15044
Epoch 15044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15044With loss 0.1267430099331721
epoch: 15045
Epoch 15045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15045With loss 0.1267430099331721
epoch: 15046
Epoch 15046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15046With loss 0.1267430099331721
epoch: 15047
Epoch 15047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15047With loss 0.1267430099331721
epoch: 15048
Epoch 15048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15048With loss 0.1267430099331721
epoch: 15049
Epoch 15049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15049With loss 0.1267430099331721
epoch: 15050
Epoch 15050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15050With loss 0.1267430099331721
epoch: 15051
Epoch 15051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15051With loss 0.1267430099331721
epoch: 15052
Epoch 15052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15052With loss 0.1267430099331721
epoch: 15053
Epoch 15053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15053With loss 0.1267430099331721
epoch: 15054
Epoch 15054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15054With loss 0.1267430099331721
epoch: 15055
Epoch 15055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15055With loss 0.1267430099331721
epoch: 15056
Epoch 15056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15056With loss 0.1267430099331721
epoch: 15057
Epoch 15057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15057With loss 0.1267430099331721
epoch: 15058
Epoch 15058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15058With loss 0.1267430099331721
epoch: 15059
Epoch 15059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15059With loss 0.1267430099331721
epoch: 15060
Epoch 15060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15060With loss 0.1267430099331721
epoch: 15061
Epoch 15061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15061With loss 0.1267430099331721
epoch: 15062
Epoch 15062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15062With loss 0.1267430099331721
epoch: 15063
Epoch 15063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15063With loss 0.1267430099331721
epoch: 15064
Epoch 15064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15064With loss 0.1267430099331721
epoch: 15065
Epoch 15065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15065With loss 0.1267430099331721
epoch: 15066
Epoch 15066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15066With loss 0.1267430099331721
epoch: 15067
Epoch 15067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15067With loss 0.1267430099331721
epoch: 15068
Epoch 15068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15068With loss 0.1267430099331721
epoch: 15069
Epoch 15069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15069With loss 0.1267430099331721
epoch: 15070
Epoch 15070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15070With loss 0.1267430099331721
epoch: 15071
Epoch 15071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15071With loss 0.1267430099331721
epoch: 15072
Epoch 15072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15072With loss 0.1267430099331721
epoch: 15073
Epoch 15073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15073With loss 0.1267430099331721
epoch: 15074
Epoch 15074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15074With loss 0.1267430099331721
epoch: 15075
Epoch 15075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15075With loss 0.1267430099331721
epoch: 15076
Epoch 15076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15076With loss 0.1267430099331721
epoch: 15077
Epoch 15077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15077With loss 0.1267430099331721
epoch: 15078
Epoch 15078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15078With loss 0.1267430099331721
epoch: 15079
Epoch 15079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15079With loss 0.1267430099331721
epoch: 15080
Epoch 15080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15080With loss 0.1267430099331721
epoch: 15081
Epoch 15081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15081With loss 0.1267430099331721
epoch: 15082
Epoch 15082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15082With loss 0.1267430099331721
epoch: 15083
Epoch 15083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15083With loss 0.1267430099331721
epoch: 15084
Epoch 15084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15084With loss 0.1267430099331721
epoch: 15085
Epoch 15085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15085With loss 0.1267430099331721
epoch: 15086
Epoch 15086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15086With loss 0.1267430099331721
epoch: 15087
Epoch 15087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15087With loss 0.1267430099331721
epoch: 15088
Epoch 15088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15088With loss 0.1267430099331721
epoch: 15089
Epoch 15089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15089With loss 0.1267430099331721
epoch: 15090
Epoch 15090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15090With loss 0.1267430099331721
epoch: 15091
Epoch 15091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15091With loss 0.1267430099331721
epoch: 15092
Epoch 15092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15092With loss 0.1267430099331721
epoch: 15093
Epoch 15093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15093With loss 0.1267430099331721
epoch: 15094
Epoch 15094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15094With loss 0.1267430099331721
epoch: 15095
Epoch 15095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15095With loss 0.1267430099331721
epoch: 15096
Epoch 15096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15096With loss 0.1267430099331721
epoch: 15097
Epoch 15097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15097With loss 0.1267430099331721
epoch: 15098
Epoch 15098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15098With loss 0.1267430099331721
epoch: 15099
Epoch 15099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15099With loss 0.1267430099331721
epoch: 15100
Epoch 15100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15100With loss 0.1267430099331721
epoch: 15101
Epoch 15101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15101With loss 0.1267430099331721
epoch: 15102
Epoch 15102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15102With loss 0.1267430099331721
epoch: 15103
Epoch 15103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15103With loss 0.1267430099331721
epoch: 15104
Epoch 15104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15104With loss 0.1267430099331721
epoch: 15105
Epoch 15105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15105With loss 0.1267430099331721
epoch: 15106
Epoch 15106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15106With loss 0.1267430099331721
epoch: 15107
Epoch 15107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15107With loss 0.1267430099331721
epoch: 15108
Epoch 15108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15108With loss 0.1267430099331721
epoch: 15109
Epoch 15109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15109With loss 0.1267430099331721
epoch: 15110
Epoch 15110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15110With loss 0.1267430099331721
epoch: 15111
Epoch 15111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15111With loss 0.1267430099331721
epoch: 15112
Epoch 15112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15112With loss 0.1267430099331721
epoch: 15113
Epoch 15113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15113With loss 0.1267430099331721
epoch: 15114
Epoch 15114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15114With loss 0.1267430099331721
epoch: 15115
Epoch 15115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15115With loss 0.1267430099331721
epoch: 15116
Epoch 15116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15116With loss 0.1267430099331721
epoch: 15117
Epoch 15117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15117With loss 0.1267430099331721
epoch: 15118
Epoch 15118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15118With loss 0.1267430099331721
epoch: 15119
Epoch 15119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15119With loss 0.1267430099331721
epoch: 15120
Epoch 15120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15120With loss 0.1267430099331721
epoch: 15121
Epoch 15121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15121With loss 0.1267430099331721
epoch: 15122
Epoch 15122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15122With loss 0.1267430099331721
epoch: 15123
Epoch 15123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15123With loss 0.1267430099331721
epoch: 15124
Epoch 15124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15124With loss 0.1267430099331721
epoch: 15125
Epoch 15125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15125With loss 0.1267430099331721
epoch: 15126
Epoch 15126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15126With loss 0.1267430099331721
epoch: 15127
Epoch 15127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15127With loss 0.1267430099331721
epoch: 15128
Epoch 15128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15128With loss 0.1267430099331721
epoch: 15129
Epoch 15129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15129With loss 0.1267430099331721
epoch: 15130
Epoch 15130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15130With loss 0.1267430099331721
epoch: 15131
Epoch 15131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15131With loss 0.1267430099331721
epoch: 15132
Epoch 15132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15132With loss 0.1267430099331721
epoch: 15133
Epoch 15133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15133With loss 0.1267430099331721
epoch: 15134
Epoch 15134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15134With loss 0.1267430099331721
epoch: 15135
Epoch 15135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15135With loss 0.1267430099331721
epoch: 15136
Epoch 15136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15136With loss 0.1267430099331721
epoch: 15137
Epoch 15137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15137With loss 0.1267430099331721
epoch: 15138
Epoch 15138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15138With loss 0.1267430099331721
epoch: 15139
Epoch 15139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15139With loss 0.1267430099331721
epoch: 15140
Epoch 15140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15140With loss 0.1267430099331721
epoch: 15141
Epoch 15141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15141With loss 0.1267430099331721
epoch: 15142
Epoch 15142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15142With loss 0.1267430099331721
epoch: 15143
Epoch 15143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15143With loss 0.1267430099331721
epoch: 15144
Epoch 15144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15144With loss 0.1267430099331721
epoch: 15145
Epoch 15145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15145With loss 0.1267430099331721
epoch: 15146
Epoch 15146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15146With loss 0.1267430099331721
epoch: 15147
Epoch 15147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15147With loss 0.1267430099331721
epoch: 15148
Epoch 15148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15148With loss 0.1267430099331721
epoch: 15149
Epoch 15149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15149With loss 0.1267430099331721
epoch: 15150
Epoch 15150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15150With loss 0.1267430099331721
epoch: 15151
Epoch 15151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15151With loss 0.1267430099331721
epoch: 15152
Epoch 15152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15152With loss 0.1267430099331721
epoch: 15153
Epoch 15153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15153With loss 0.1267430099331721
epoch: 15154
Epoch 15154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15154With loss 0.1267430099331721
epoch: 15155
Epoch 15155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15155With loss 0.1267430099331721
epoch: 15156
Epoch 15156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15156With loss 0.1267430099331721
epoch: 15157
Epoch 15157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15157With loss 0.1267430099331721
epoch: 15158
Epoch 15158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15158With loss 0.1267430099331721
epoch: 15159
Epoch 15159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15159With loss 0.1267430099331721
epoch: 15160
Epoch 15160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15160With loss 0.1267430099331721
epoch: 15161
Epoch 15161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15161With loss 0.1267430099331721
epoch: 15162
Epoch 15162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15162With loss 0.1267430099331721
epoch: 15163
Epoch 15163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15163With loss 0.1267430099331721
epoch: 15164
Epoch 15164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15164With loss 0.1267430099331721
epoch: 15165
Epoch 15165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15165With loss 0.1267430099331721
epoch: 15166
Epoch 15166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15166With loss 0.1267430099331721
epoch: 15167
Epoch 15167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15167With loss 0.1267430099331721
epoch: 15168
Epoch 15168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15168With loss 0.1267430099331721
epoch: 15169
Epoch 15169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15169With loss 0.1267430099331721
epoch: 15170
Epoch 15170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15170With loss 0.1267430099331721
epoch: 15171
Epoch 15171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15171With loss 0.1267430099331721
epoch: 15172
Epoch 15172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15172With loss 0.1267430099331721
epoch: 15173
Epoch 15173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15173With loss 0.1267430099331721
epoch: 15174
Epoch 15174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15174With loss 0.1267430099331721
epoch: 15175
Epoch 15175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15175With loss 0.1267430099331721
epoch: 15176
Epoch 15176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15176With loss 0.1267430099331721
epoch: 15177
Epoch 15177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15177With loss 0.1267430099331721
epoch: 15178
Epoch 15178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15178With loss 0.1267430099331721
epoch: 15179
Epoch 15179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15179With loss 0.1267430099331721
epoch: 15180
Epoch 15180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15180With loss 0.1267430099331721
epoch: 15181
Epoch 15181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15181With loss 0.1267430099331721
epoch: 15182
Epoch 15182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15182With loss 0.1267430099331721
epoch: 15183
Epoch 15183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15183With loss 0.1267430099331721
epoch: 15184
Epoch 15184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15184With loss 0.1267430099331721
epoch: 15185
Epoch 15185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15185With loss 0.1267430099331721
epoch: 15186
Epoch 15186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15186With loss 0.1267430099331721
epoch: 15187
Epoch 15187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15187With loss 0.1267430099331721
epoch: 15188
Epoch 15188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15188With loss 0.1267430099331721
epoch: 15189
Epoch 15189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15189With loss 0.1267430099331721
epoch: 15190
Epoch 15190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15190With loss 0.1267430099331721
epoch: 15191
Epoch 15191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15191With loss 0.1267430099331721
epoch: 15192
Epoch 15192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15192With loss 0.1267430099331721
epoch: 15193
Epoch 15193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15193With loss 0.1267430099331721
epoch: 15194
Epoch 15194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15194With loss 0.1267430099331721
epoch: 15195
Epoch 15195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15195With loss 0.1267430099331721
epoch: 15196
Epoch 15196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15196With loss 0.1267430099331721
epoch: 15197
Epoch 15197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15197With loss 0.1267430099331721
epoch: 15198
Epoch 15198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15198With loss 0.1267430099331721
epoch: 15199
Epoch 15199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15199With loss 0.1267430099331721
epoch: 15200
Epoch 15200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15200With loss 0.1267430099331721
epoch: 15201
Epoch 15201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15201With loss 0.1267430099331721
epoch: 15202
Epoch 15202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15202With loss 0.1267430099331721
epoch: 15203
Epoch 15203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15203With loss 0.1267430099331721
epoch: 15204
Epoch 15204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15204With loss 0.1267430099331721
epoch: 15205
Epoch 15205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15205With loss 0.1267430099331721
epoch: 15206
Epoch 15206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15206With loss 0.1267430099331721
epoch: 15207
Epoch 15207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15207With loss 0.1267430099331721
epoch: 15208
Epoch 15208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15208With loss 0.1267430099331721
epoch: 15209
Epoch 15209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15209With loss 0.1267430099331721
epoch: 15210
Epoch 15210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15210With loss 0.1267430099331721
epoch: 15211
Epoch 15211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15211With loss 0.1267430099331721
epoch: 15212
Epoch 15212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15212With loss 0.1267430099331721
epoch: 15213
Epoch 15213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15213With loss 0.1267430099331721
epoch: 15214
Epoch 15214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15214With loss 0.1267430099331721
epoch: 15215
Epoch 15215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15215With loss 0.1267430099331721
epoch: 15216
Epoch 15216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15216With loss 0.1267430099331721
epoch: 15217
Epoch 15217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15217With loss 0.1267430099331721
epoch: 15218
Epoch 15218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15218With loss 0.1267430099331721
epoch: 15219
Epoch 15219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15219With loss 0.1267430099331721
epoch: 15220
Epoch 15220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15220With loss 0.1267430099331721
epoch: 15221
Epoch 15221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15221With loss 0.1267430099331721
epoch: 15222
Epoch 15222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15222With loss 0.1267430099331721
epoch: 15223
Epoch 15223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15223With loss 0.1267430099331721
epoch: 15224
Epoch 15224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15224With loss 0.1267430099331721
epoch: 15225
Epoch 15225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15225With loss 0.1267430099331721
epoch: 15226
Epoch 15226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15226With loss 0.1267430099331721
epoch: 15227
Epoch 15227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15227With loss 0.1267430099331721
epoch: 15228
Epoch 15228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15228With loss 0.1267430099331721
epoch: 15229
Epoch 15229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15229With loss 0.1267430099331721
epoch: 15230
Epoch 15230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15230With loss 0.1267430099331721
epoch: 15231
Epoch 15231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15231With loss 0.1267430099331721
epoch: 15232
Epoch 15232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15232With loss 0.1267430099331721
epoch: 15233
Epoch 15233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15233With loss 0.1267430099331721
epoch: 15234
Epoch 15234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15234With loss 0.1267430099331721
epoch: 15235
Epoch 15235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15235With loss 0.1267430099331721
epoch: 15236
Epoch 15236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15236With loss 0.1267430099331721
epoch: 15237
Epoch 15237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15237With loss 0.1267430099331721
epoch: 15238
Epoch 15238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15238With loss 0.1267430099331721
epoch: 15239
Epoch 15239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15239With loss 0.1267430099331721
epoch: 15240
Epoch 15240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15240With loss 0.1267430099331721
epoch: 15241
Epoch 15241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15241With loss 0.1267430099331721
epoch: 15242
Epoch 15242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15242With loss 0.1267430099331721
epoch: 15243
Epoch 15243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15243With loss 0.1267430099331721
epoch: 15244
Epoch 15244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15244With loss 0.1267430099331721
epoch: 15245
Epoch 15245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15245With loss 0.1267430099331721
epoch: 15246
Epoch 15246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15246With loss 0.1267430099331721
epoch: 15247
Epoch 15247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15247With loss 0.1267430099331721
epoch: 15248
Epoch 15248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15248With loss 0.1267430099331721
epoch: 15249
Epoch 15249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15249With loss 0.1267430099331721
epoch: 15250
Epoch 15250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15250With loss 0.1267430099331721
epoch: 15251
Epoch 15251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15251With loss 0.1267430099331721
epoch: 15252
Epoch 15252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15252With loss 0.1267430099331721
epoch: 15253
Epoch 15253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15253With loss 0.1267430099331721
epoch: 15254
Epoch 15254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15254With loss 0.1267430099331721
epoch: 15255
Epoch 15255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15255With loss 0.1267430099331721
epoch: 15256
Epoch 15256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15256With loss 0.1267430099331721
epoch: 15257
Epoch 15257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15257With loss 0.1267430099331721
epoch: 15258
Epoch 15258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15258With loss 0.1267430099331721
epoch: 15259
Epoch 15259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15259With loss 0.1267430099331721
epoch: 15260
Epoch 15260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15260With loss 0.1267430099331721
epoch: 15261
Epoch 15261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15261With loss 0.1267430099331721
epoch: 15262
Epoch 15262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15262With loss 0.1267430099331721
epoch: 15263
Epoch 15263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15263With loss 0.1267430099331721
epoch: 15264
Epoch 15264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15264With loss 0.1267430099331721
epoch: 15265
Epoch 15265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15265With loss 0.1267430099331721
epoch: 15266
Epoch 15266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15266With loss 0.1267430099331721
epoch: 15267
Epoch 15267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15267With loss 0.1267430099331721
epoch: 15268
Epoch 15268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15268With loss 0.1267430099331721
epoch: 15269
Epoch 15269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15269With loss 0.1267430099331721
epoch: 15270
Epoch 15270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15270With loss 0.1267430099331721
epoch: 15271
Epoch 15271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15271With loss 0.1267430099331721
epoch: 15272
Epoch 15272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15272With loss 0.1267430099331721
epoch: 15273
Epoch 15273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15273With loss 0.1267430099331721
epoch: 15274
Epoch 15274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15274With loss 0.1267430099331721
epoch: 15275
Epoch 15275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15275With loss 0.1267430099331721
epoch: 15276
Epoch 15276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15276With loss 0.1267430099331721
epoch: 15277
Epoch 15277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15277With loss 0.1267430099331721
epoch: 15278
Epoch 15278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15278With loss 0.1267430099331721
epoch: 15279
Epoch 15279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15279With loss 0.1267430099331721
epoch: 15280
Epoch 15280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15280With loss 0.1267430099331721
epoch: 15281
Epoch 15281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15281With loss 0.1267430099331721
epoch: 15282
Epoch 15282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15282With loss 0.1267430099331721
epoch: 15283
Epoch 15283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15283With loss 0.1267430099331721
epoch: 15284
Epoch 15284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15284With loss 0.1267430099331721
epoch: 15285
Epoch 15285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15285With loss 0.1267430099331721
epoch: 15286
Epoch 15286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15286With loss 0.1267430099331721
epoch: 15287
Epoch 15287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15287With loss 0.1267430099331721
epoch: 15288
Epoch 15288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15288With loss 0.1267430099331721
epoch: 15289
Epoch 15289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15289With loss 0.1267430099331721
epoch: 15290
Epoch 15290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15290With loss 0.1267430099331721
epoch: 15291
Epoch 15291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15291With loss 0.1267430099331721
epoch: 15292
Epoch 15292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15292With loss 0.1267430099331721
epoch: 15293
Epoch 15293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15293With loss 0.1267430099331721
epoch: 15294
Epoch 15294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15294With loss 0.1267430099331721
epoch: 15295
Epoch 15295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15295With loss 0.1267430099331721
epoch: 15296
Epoch 15296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15296With loss 0.1267430099331721
epoch: 15297
Epoch 15297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15297With loss 0.1267430099331721
epoch: 15298
Epoch 15298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15298With loss 0.1267430099331721
epoch: 15299
Epoch 15299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15299With loss 0.1267430099331721
epoch: 15300
Epoch 15300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15300With loss 0.1267430099331721
epoch: 15301
Epoch 15301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15301With loss 0.1267430099331721
epoch: 15302
Epoch 15302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15302With loss 0.1267430099331721
epoch: 15303
Epoch 15303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15303With loss 0.1267430099331721
epoch: 15304
Epoch 15304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15304With loss 0.1267430099331721
epoch: 15305
Epoch 15305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15305With loss 0.1267430099331721
epoch: 15306
Epoch 15306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15306With loss 0.1267430099331721
epoch: 15307
Epoch 15307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15307With loss 0.1267430099331721
epoch: 15308
Epoch 15308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15308With loss 0.1267430099331721
epoch: 15309
Epoch 15309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15309With loss 0.1267430099331721
epoch: 15310
Epoch 15310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15310With loss 0.1267430099331721
epoch: 15311
Epoch 15311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15311With loss 0.1267430099331721
epoch: 15312
Epoch 15312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15312With loss 0.1267430099331721
epoch: 15313
Epoch 15313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15313With loss 0.1267430099331721
epoch: 15314
Epoch 15314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15314With loss 0.1267430099331721
epoch: 15315
Epoch 15315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15315With loss 0.1267430099331721
epoch: 15316
Epoch 15316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15316With loss 0.1267430099331721
epoch: 15317
Epoch 15317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15317With loss 0.1267430099331721
epoch: 15318
Epoch 15318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15318With loss 0.1267430099331721
epoch: 15319
Epoch 15319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15319With loss 0.1267430099331721
epoch: 15320
Epoch 15320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15320With loss 0.1267430099331721
epoch: 15321
Epoch 15321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15321With loss 0.1267430099331721
epoch: 15322
Epoch 15322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15322With loss 0.1267430099331721
epoch: 15323
Epoch 15323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15323With loss 0.1267430099331721
epoch: 15324
Epoch 15324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15324With loss 0.1267430099331721
epoch: 15325
Epoch 15325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15325With loss 0.1267430099331721
epoch: 15326
Epoch 15326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15326With loss 0.1267430099331721
epoch: 15327
Epoch 15327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15327With loss 0.1267430099331721
epoch: 15328
Epoch 15328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15328With loss 0.1267430099331721
epoch: 15329
Epoch 15329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15329With loss 0.1267430099331721
epoch: 15330
Epoch 15330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15330With loss 0.1267430099331721
epoch: 15331
Epoch 15331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15331With loss 0.1267430099331721
epoch: 15332
Epoch 15332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15332With loss 0.1267430099331721
epoch: 15333
Epoch 15333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15333With loss 0.1267430099331721
epoch: 15334
Epoch 15334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15334With loss 0.1267430099331721
epoch: 15335
Epoch 15335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15335With loss 0.1267430099331721
epoch: 15336
Epoch 15336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15336With loss 0.1267430099331721
epoch: 15337
Epoch 15337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15337With loss 0.1267430099331721
epoch: 15338
Epoch 15338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15338With loss 0.1267430099331721
epoch: 15339
Epoch 15339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15339With loss 0.1267430099331721
epoch: 15340
Epoch 15340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15340With loss 0.1267430099331721
epoch: 15341
Epoch 15341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15341With loss 0.1267430099331721
epoch: 15342
Epoch 15342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15342With loss 0.1267430099331721
epoch: 15343
Epoch 15343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15343With loss 0.1267430099331721
epoch: 15344
Epoch 15344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15344With loss 0.1267430099331721
epoch: 15345
Epoch 15345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15345With loss 0.1267430099331721
epoch: 15346
Epoch 15346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15346With loss 0.1267430099331721
epoch: 15347
Epoch 15347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15347With loss 0.1267430099331721
epoch: 15348
Epoch 15348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15348With loss 0.1267430099331721
epoch: 15349
Epoch 15349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15349With loss 0.1267430099331721
epoch: 15350
Epoch 15350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15350With loss 0.1267430099331721
epoch: 15351
Epoch 15351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15351With loss 0.1267430099331721
epoch: 15352
Epoch 15352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15352With loss 0.1267430099331721
epoch: 15353
Epoch 15353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15353With loss 0.1267430099331721
epoch: 15354
Epoch 15354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15354With loss 0.1267430099331721
epoch: 15355
Epoch 15355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15355With loss 0.1267430099331721
epoch: 15356
Epoch 15356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15356With loss 0.1267430099331721
epoch: 15357
Epoch 15357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15357With loss 0.1267430099331721
epoch: 15358
Epoch 15358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15358With loss 0.1267430099331721
epoch: 15359
Epoch 15359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15359With loss 0.1267430099331721
epoch: 15360
Epoch 15360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15360With loss 0.1267430099331721
epoch: 15361
Epoch 15361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15361With loss 0.1267430099331721
epoch: 15362
Epoch 15362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15362With loss 0.1267430099331721
epoch: 15363
Epoch 15363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15363With loss 0.1267430099331721
epoch: 15364
Epoch 15364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15364With loss 0.1267430099331721
epoch: 15365
Epoch 15365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15365With loss 0.1267430099331721
epoch: 15366
Epoch 15366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15366With loss 0.1267430099331721
epoch: 15367
Epoch 15367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15367With loss 0.1267430099331721
epoch: 15368
Epoch 15368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15368With loss 0.1267430099331721
epoch: 15369
Epoch 15369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15369With loss 0.1267430099331721
epoch: 15370
Epoch 15370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15370With loss 0.1267430099331721
epoch: 15371
Epoch 15371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15371With loss 0.1267430099331721
epoch: 15372
Epoch 15372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15372With loss 0.1267430099331721
epoch: 15373
Epoch 15373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15373With loss 0.1267430099331721
epoch: 15374
Epoch 15374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15374With loss 0.1267430099331721
epoch: 15375
Epoch 15375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15375With loss 0.1267430099331721
epoch: 15376
Epoch 15376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15376With loss 0.1267430099331721
epoch: 15377
Epoch 15377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15377With loss 0.1267430099331721
epoch: 15378
Epoch 15378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15378With loss 0.1267430099331721
epoch: 15379
Epoch 15379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15379With loss 0.1267430099331721
epoch: 15380
Epoch 15380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15380With loss 0.1267430099331721
epoch: 15381
Epoch 15381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15381With loss 0.1267430099331721
epoch: 15382
Epoch 15382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15382With loss 0.1267430099331721
epoch: 15383
Epoch 15383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15383With loss 0.1267430099331721
epoch: 15384
Epoch 15384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15384With loss 0.1267430099331721
epoch: 15385
Epoch 15385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15385With loss 0.1267430099331721
epoch: 15386
Epoch 15386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15386With loss 0.1267430099331721
epoch: 15387
Epoch 15387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15387With loss 0.1267430099331721
epoch: 15388
Epoch 15388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15388With loss 0.1267430099331721
epoch: 15389
Epoch 15389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15389With loss 0.1267430099331721
epoch: 15390
Epoch 15390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15390With loss 0.1267430099331721
epoch: 15391
Epoch 15391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15391With loss 0.1267430099331721
epoch: 15392
Epoch 15392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15392With loss 0.1267430099331721
epoch: 15393
Epoch 15393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15393With loss 0.1267430099331721
epoch: 15394
Epoch 15394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15394With loss 0.1267430099331721
epoch: 15395
Epoch 15395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15395With loss 0.1267430099331721
epoch: 15396
Epoch 15396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15396With loss 0.1267430099331721
epoch: 15397
Epoch 15397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15397With loss 0.1267430099331721
epoch: 15398
Epoch 15398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15398With loss 0.1267430099331721
epoch: 15399
Epoch 15399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15399With loss 0.1267430099331721
epoch: 15400
Epoch 15400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15400With loss 0.1267430099331721
epoch: 15401
Epoch 15401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15401With loss 0.1267430099331721
epoch: 15402
Epoch 15402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15402With loss 0.1267430099331721
epoch: 15403
Epoch 15403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15403With loss 0.1267430099331721
epoch: 15404
Epoch 15404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15404With loss 0.1267430099331721
epoch: 15405
Epoch 15405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15405With loss 0.1267430099331721
epoch: 15406
Epoch 15406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15406With loss 0.1267430099331721
epoch: 15407
Epoch 15407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15407With loss 0.1267430099331721
epoch: 15408
Epoch 15408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15408With loss 0.1267430099331721
epoch: 15409
Epoch 15409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15409With loss 0.1267430099331721
epoch: 15410
Epoch 15410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15410With loss 0.1267430099331721
epoch: 15411
Epoch 15411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15411With loss 0.1267430099331721
epoch: 15412
Epoch 15412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15412With loss 0.1267430099331721
epoch: 15413
Epoch 15413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15413With loss 0.1267430099331721
epoch: 15414
Epoch 15414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15414With loss 0.1267430099331721
epoch: 15415
Epoch 15415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15415With loss 0.1267430099331721
epoch: 15416
Epoch 15416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15416With loss 0.1267430099331721
epoch: 15417
Epoch 15417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15417With loss 0.1267430099331721
epoch: 15418
Epoch 15418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15418With loss 0.1267430099331721
epoch: 15419
Epoch 15419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15419With loss 0.1267430099331721
epoch: 15420
Epoch 15420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15420With loss 0.1267430099331721
epoch: 15421
Epoch 15421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15421With loss 0.1267430099331721
epoch: 15422
Epoch 15422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15422With loss 0.1267430099331721
epoch: 15423
Epoch 15423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15423With loss 0.1267430099331721
epoch: 15424
Epoch 15424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15424With loss 0.1267430099331721
epoch: 15425
Epoch 15425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15425With loss 0.1267430099331721
epoch: 15426
Epoch 15426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15426With loss 0.1267430099331721
epoch: 15427
Epoch 15427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15427With loss 0.1267430099331721
epoch: 15428
Epoch 15428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15428With loss 0.1267430099331721
epoch: 15429
Epoch 15429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15429With loss 0.1267430099331721
epoch: 15430
Epoch 15430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15430With loss 0.1267430099331721
epoch: 15431
Epoch 15431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15431With loss 0.1267430099331721
epoch: 15432
Epoch 15432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15432With loss 0.1267430099331721
epoch: 15433
Epoch 15433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15433With loss 0.1267430099331721
epoch: 15434
Epoch 15434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15434With loss 0.1267430099331721
epoch: 15435
Epoch 15435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15435With loss 0.1267430099331721
epoch: 15436
Epoch 15436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15436With loss 0.1267430099331721
epoch: 15437
Epoch 15437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15437With loss 0.1267430099331721
epoch: 15438
Epoch 15438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15438With loss 0.1267430099331721
epoch: 15439
Epoch 15439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15439With loss 0.1267430099331721
epoch: 15440
Epoch 15440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15440With loss 0.1267430099331721
epoch: 15441
Epoch 15441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15441With loss 0.1267430099331721
epoch: 15442
Epoch 15442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15442With loss 0.1267430099331721
epoch: 15443
Epoch 15443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15443With loss 0.1267430099331721
epoch: 15444
Epoch 15444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15444With loss 0.1267430099331721
epoch: 15445
Epoch 15445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15445With loss 0.1267430099331721
epoch: 15446
Epoch 15446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15446With loss 0.1267430099331721
epoch: 15447
Epoch 15447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15447With loss 0.1267430099331721
epoch: 15448
Epoch 15448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15448With loss 0.1267430099331721
epoch: 15449
Epoch 15449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15449With loss 0.1267430099331721
epoch: 15450
Epoch 15450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15450With loss 0.1267430099331721
epoch: 15451
Epoch 15451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15451With loss 0.1267430099331721
epoch: 15452
Epoch 15452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15452With loss 0.1267430099331721
epoch: 15453
Epoch 15453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15453With loss 0.1267430099331721
epoch: 15454
Epoch 15454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15454With loss 0.1267430099331721
epoch: 15455
Epoch 15455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15455With loss 0.1267430099331721
epoch: 15456
Epoch 15456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15456With loss 0.1267430099331721
epoch: 15457
Epoch 15457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15457With loss 0.1267430099331721
epoch: 15458
Epoch 15458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15458With loss 0.1267430099331721
epoch: 15459
Epoch 15459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15459With loss 0.1267430099331721
epoch: 15460
Epoch 15460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15460With loss 0.1267430099331721
epoch: 15461
Epoch 15461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15461With loss 0.1267430099331721
epoch: 15462
Epoch 15462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15462With loss 0.1267430099331721
epoch: 15463
Epoch 15463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15463With loss 0.1267430099331721
epoch: 15464
Epoch 15464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15464With loss 0.1267430099331721
epoch: 15465
Epoch 15465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15465With loss 0.1267430099331721
epoch: 15466
Epoch 15466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15466With loss 0.1267430099331721
epoch: 15467
Epoch 15467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15467With loss 0.1267430099331721
epoch: 15468
Epoch 15468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15468With loss 0.1267430099331721
epoch: 15469
Epoch 15469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15469With loss 0.1267430099331721
epoch: 15470
Epoch 15470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15470With loss 0.1267430099331721
epoch: 15471
Epoch 15471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15471With loss 0.1267430099331721
epoch: 15472
Epoch 15472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15472With loss 0.1267430099331721
epoch: 15473
Epoch 15473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15473With loss 0.1267430099331721
epoch: 15474
Epoch 15474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15474With loss 0.1267430099331721
epoch: 15475
Epoch 15475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15475With loss 0.1267430099331721
epoch: 15476
Epoch 15476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15476With loss 0.1267430099331721
epoch: 15477
Epoch 15477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15477With loss 0.1267430099331721
epoch: 15478
Epoch 15478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15478With loss 0.1267430099331721
epoch: 15479
Epoch 15479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15479With loss 0.1267430099331721
epoch: 15480
Epoch 15480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15480With loss 0.1267430099331721
epoch: 15481
Epoch 15481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15481With loss 0.1267430099331721
epoch: 15482
Epoch 15482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15482With loss 0.1267430099331721
epoch: 15483
Epoch 15483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15483With loss 0.1267430099331721
epoch: 15484
Epoch 15484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15484With loss 0.1267430099331721
epoch: 15485
Epoch 15485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15485With loss 0.1267430099331721
epoch: 15486
Epoch 15486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15486With loss 0.1267430099331721
epoch: 15487
Epoch 15487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15487With loss 0.1267430099331721
epoch: 15488
Epoch 15488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15488With loss 0.1267430099331721
epoch: 15489
Epoch 15489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15489With loss 0.1267430099331721
epoch: 15490
Epoch 15490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15490With loss 0.1267430099331721
epoch: 15491
Epoch 15491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15491With loss 0.1267430099331721
epoch: 15492
Epoch 15492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15492With loss 0.1267430099331721
epoch: 15493
Epoch 15493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15493With loss 0.1267430099331721
epoch: 15494
Epoch 15494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15494With loss 0.1267430099331721
epoch: 15495
Epoch 15495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15495With loss 0.1267430099331721
epoch: 15496
Epoch 15496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15496With loss 0.1267430099331721
epoch: 15497
Epoch 15497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15497With loss 0.1267430099331721
epoch: 15498
Epoch 15498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15498With loss 0.1267430099331721
epoch: 15499
Epoch 15499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15499With loss 0.1267430099331721
epoch: 15500
Epoch 15500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15500With loss 0.1267430099331721
epoch: 15501
Epoch 15501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15501With loss 0.1267430099331721
epoch: 15502
Epoch 15502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15502With loss 0.1267430099331721
epoch: 15503
Epoch 15503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15503With loss 0.1267430099331721
epoch: 15504
Epoch 15504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15504With loss 0.1267430099331721
epoch: 15505
Epoch 15505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15505With loss 0.1267430099331721
epoch: 15506
Epoch 15506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15506With loss 0.1267430099331721
epoch: 15507
Epoch 15507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15507With loss 0.1267430099331721
epoch: 15508
Epoch 15508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15508With loss 0.1267430099331721
epoch: 15509
Epoch 15509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15509With loss 0.1267430099331721
epoch: 15510
Epoch 15510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15510With loss 0.1267430099331721
epoch: 15511
Epoch 15511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15511With loss 0.1267430099331721
epoch: 15512
Epoch 15512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15512With loss 0.1267430099331721
epoch: 15513
Epoch 15513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15513With loss 0.1267430099331721
epoch: 15514
Epoch 15514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15514With loss 0.1267430099331721
epoch: 15515
Epoch 15515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15515With loss 0.1267430099331721
epoch: 15516
Epoch 15516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15516With loss 0.1267430099331721
epoch: 15517
Epoch 15517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15517With loss 0.1267430099331721
epoch: 15518
Epoch 15518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15518With loss 0.1267430099331721
epoch: 15519
Epoch 15519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15519With loss 0.1267430099331721
epoch: 15520
Epoch 15520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15520With loss 0.1267430099331721
epoch: 15521
Epoch 15521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15521With loss 0.1267430099331721
epoch: 15522
Epoch 15522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15522With loss 0.1267430099331721
epoch: 15523
Epoch 15523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15523With loss 0.1267430099331721
epoch: 15524
Epoch 15524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15524With loss 0.1267430099331721
epoch: 15525
Epoch 15525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15525With loss 0.1267430099331721
epoch: 15526
Epoch 15526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15526With loss 0.1267430099331721
epoch: 15527
Epoch 15527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15527With loss 0.1267430099331721
epoch: 15528
Epoch 15528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15528With loss 0.1267430099331721
epoch: 15529
Epoch 15529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15529With loss 0.1267430099331721
epoch: 15530
Epoch 15530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15530With loss 0.1267430099331721
epoch: 15531
Epoch 15531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15531With loss 0.1267430099331721
epoch: 15532
Epoch 15532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15532With loss 0.1267430099331721
epoch: 15533
Epoch 15533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15533With loss 0.1267430099331721
epoch: 15534
Epoch 15534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15534With loss 0.1267430099331721
epoch: 15535
Epoch 15535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15535With loss 0.1267430099331721
epoch: 15536
Epoch 15536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15536With loss 0.1267430099331721
epoch: 15537
Epoch 15537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15537With loss 0.1267430099331721
epoch: 15538
Epoch 15538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15538With loss 0.1267430099331721
epoch: 15539
Epoch 15539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15539With loss 0.1267430099331721
epoch: 15540
Epoch 15540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15540With loss 0.1267430099331721
epoch: 15541
Epoch 15541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15541With loss 0.1267430099331721
epoch: 15542
Epoch 15542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15542With loss 0.1267430099331721
epoch: 15543
Epoch 15543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15543With loss 0.1267430099331721
epoch: 15544
Epoch 15544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15544With loss 0.1267430099331721
epoch: 15545
Epoch 15545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15545With loss 0.1267430099331721
epoch: 15546
Epoch 15546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15546With loss 0.1267430099331721
epoch: 15547
Epoch 15547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15547With loss 0.1267430099331721
epoch: 15548
Epoch 15548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15548With loss 0.1267430099331721
epoch: 15549
Epoch 15549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15549With loss 0.1267430099331721
epoch: 15550
Epoch 15550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15550With loss 0.1267430099331721
epoch: 15551
Epoch 15551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15551With loss 0.1267430099331721
epoch: 15552
Epoch 15552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15552With loss 0.1267430099331721
epoch: 15553
Epoch 15553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15553With loss 0.1267430099331721
epoch: 15554
Epoch 15554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15554With loss 0.1267430099331721
epoch: 15555
Epoch 15555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15555With loss 0.1267430099331721
epoch: 15556
Epoch 15556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15556With loss 0.1267430099331721
epoch: 15557
Epoch 15557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15557With loss 0.1267430099331721
epoch: 15558
Epoch 15558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15558With loss 0.1267430099331721
epoch: 15559
Epoch 15559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15559With loss 0.1267430099331721
epoch: 15560
Epoch 15560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15560With loss 0.1267430099331721
epoch: 15561
Epoch 15561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15561With loss 0.1267430099331721
epoch: 15562
Epoch 15562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15562With loss 0.1267430099331721
epoch: 15563
Epoch 15563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15563With loss 0.1267430099331721
epoch: 15564
Epoch 15564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15564With loss 0.1267430099331721
epoch: 15565
Epoch 15565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15565With loss 0.1267430099331721
epoch: 15566
Epoch 15566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15566With loss 0.1267430099331721
epoch: 15567
Epoch 15567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15567With loss 0.1267430099331721
epoch: 15568
Epoch 15568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15568With loss 0.1267430099331721
epoch: 15569
Epoch 15569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15569With loss 0.1267430099331721
epoch: 15570
Epoch 15570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15570With loss 0.1267430099331721
epoch: 15571
Epoch 15571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15571With loss 0.1267430099331721
epoch: 15572
Epoch 15572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15572With loss 0.1267430099331721
epoch: 15573
Epoch 15573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15573With loss 0.1267430099331721
epoch: 15574
Epoch 15574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15574With loss 0.1267430099331721
epoch: 15575
Epoch 15575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15575With loss 0.1267430099331721
epoch: 15576
Epoch 15576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15576With loss 0.1267430099331721
epoch: 15577
Epoch 15577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15577With loss 0.1267430099331721
epoch: 15578
Epoch 15578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15578With loss 0.1267430099331721
epoch: 15579
Epoch 15579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15579With loss 0.1267430099331721
epoch: 15580
Epoch 15580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15580With loss 0.1267430099331721
epoch: 15581
Epoch 15581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15581With loss 0.1267430099331721
epoch: 15582
Epoch 15582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15582With loss 0.1267430099331721
epoch: 15583
Epoch 15583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15583With loss 0.1267430099331721
epoch: 15584
Epoch 15584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15584With loss 0.1267430099331721
epoch: 15585
Epoch 15585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15585With loss 0.1267430099331721
epoch: 15586
Epoch 15586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15586With loss 0.1267430099331721
epoch: 15587
Epoch 15587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15587With loss 0.1267430099331721
epoch: 15588
Epoch 15588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15588With loss 0.1267430099331721
epoch: 15589
Epoch 15589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15589With loss 0.1267430099331721
epoch: 15590
Epoch 15590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15590With loss 0.1267430099331721
epoch: 15591
Epoch 15591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15591With loss 0.1267430099331721
epoch: 15592
Epoch 15592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15592With loss 0.1267430099331721
epoch: 15593
Epoch 15593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15593With loss 0.1267430099331721
epoch: 15594
Epoch 15594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15594With loss 0.1267430099331721
epoch: 15595
Epoch 15595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15595With loss 0.1267430099331721
epoch: 15596
Epoch 15596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15596With loss 0.1267430099331721
epoch: 15597
Epoch 15597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15597With loss 0.1267430099331721
epoch: 15598
Epoch 15598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15598With loss 0.1267430099331721
epoch: 15599
Epoch 15599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15599With loss 0.1267430099331721
epoch: 15600
Epoch 15600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15600With loss 0.1267430099331721
epoch: 15601
Epoch 15601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15601With loss 0.1267430099331721
epoch: 15602
Epoch 15602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15602With loss 0.1267430099331721
epoch: 15603
Epoch 15603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15603With loss 0.1267430099331721
epoch: 15604
Epoch 15604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15604With loss 0.1267430099331721
epoch: 15605
Epoch 15605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15605With loss 0.1267430099331721
epoch: 15606
Epoch 15606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15606With loss 0.1267430099331721
epoch: 15607
Epoch 15607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15607With loss 0.1267430099331721
epoch: 15608
Epoch 15608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15608With loss 0.1267430099331721
epoch: 15609
Epoch 15609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15609With loss 0.1267430099331721
epoch: 15610
Epoch 15610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15610With loss 0.1267430099331721
epoch: 15611
Epoch 15611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15611With loss 0.1267430099331721
epoch: 15612
Epoch 15612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15612With loss 0.1267430099331721
epoch: 15613
Epoch 15613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15613With loss 0.1267430099331721
epoch: 15614
Epoch 15614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15614With loss 0.1267430099331721
epoch: 15615
Epoch 15615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15615With loss 0.1267430099331721
epoch: 15616
Epoch 15616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15616With loss 0.1267430099331721
epoch: 15617
Epoch 15617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15617With loss 0.1267430099331721
epoch: 15618
Epoch 15618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15618With loss 0.1267430099331721
epoch: 15619
Epoch 15619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15619With loss 0.1267430099331721
epoch: 15620
Epoch 15620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15620With loss 0.1267430099331721
epoch: 15621
Epoch 15621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15621With loss 0.1267430099331721
epoch: 15622
Epoch 15622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15622With loss 0.1267430099331721
epoch: 15623
Epoch 15623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15623With loss 0.1267430099331721
epoch: 15624
Epoch 15624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15624With loss 0.1267430099331721
epoch: 15625
Epoch 15625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15625With loss 0.1267430099331721
epoch: 15626
Epoch 15626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15626With loss 0.1267430099331721
epoch: 15627
Epoch 15627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15627With loss 0.1267430099331721
epoch: 15628
Epoch 15628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15628With loss 0.1267430099331721
epoch: 15629
Epoch 15629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15629With loss 0.1267430099331721
epoch: 15630
Epoch 15630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15630With loss 0.1267430099331721
epoch: 15631
Epoch 15631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15631With loss 0.1267430099331721
epoch: 15632
Epoch 15632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15632With loss 0.1267430099331721
epoch: 15633
Epoch 15633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15633With loss 0.1267430099331721
epoch: 15634
Epoch 15634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15634With loss 0.1267430099331721
epoch: 15635
Epoch 15635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15635With loss 0.1267430099331721
epoch: 15636
Epoch 15636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15636With loss 0.1267430099331721
epoch: 15637
Epoch 15637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15637With loss 0.1267430099331721
epoch: 15638
Epoch 15638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15638With loss 0.1267430099331721
epoch: 15639
Epoch 15639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15639With loss 0.1267430099331721
epoch: 15640
Epoch 15640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15640With loss 0.1267430099331721
epoch: 15641
Epoch 15641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15641With loss 0.1267430099331721
epoch: 15642
Epoch 15642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15642With loss 0.1267430099331721
epoch: 15643
Epoch 15643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15643With loss 0.1267430099331721
epoch: 15644
Epoch 15644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15644With loss 0.1267430099331721
epoch: 15645
Epoch 15645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15645With loss 0.1267430099331721
epoch: 15646
Epoch 15646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15646With loss 0.1267430099331721
epoch: 15647
Epoch 15647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15647With loss 0.1267430099331721
epoch: 15648
Epoch 15648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15648With loss 0.1267430099331721
epoch: 15649
Epoch 15649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15649With loss 0.1267430099331721
epoch: 15650
Epoch 15650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15650With loss 0.1267430099331721
epoch: 15651
Epoch 15651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15651With loss 0.1267430099331721
epoch: 15652
Epoch 15652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15652With loss 0.1267430099331721
epoch: 15653
Epoch 15653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15653With loss 0.1267430099331721
epoch: 15654
Epoch 15654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15654With loss 0.1267430099331721
epoch: 15655
Epoch 15655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15655With loss 0.1267430099331721
epoch: 15656
Epoch 15656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15656With loss 0.1267430099331721
epoch: 15657
Epoch 15657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15657With loss 0.1267430099331721
epoch: 15658
Epoch 15658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15658With loss 0.1267430099331721
epoch: 15659
Epoch 15659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15659With loss 0.1267430099331721
epoch: 15660
Epoch 15660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15660With loss 0.1267430099331721
epoch: 15661
Epoch 15661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15661With loss 0.1267430099331721
epoch: 15662
Epoch 15662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15662With loss 0.1267430099331721
epoch: 15663
Epoch 15663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15663With loss 0.1267430099331721
epoch: 15664
Epoch 15664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15664With loss 0.1267430099331721
epoch: 15665
Epoch 15665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15665With loss 0.1267430099331721
epoch: 15666
Epoch 15666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15666With loss 0.1267430099331721
epoch: 15667
Epoch 15667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15667With loss 0.1267430099331721
epoch: 15668
Epoch 15668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15668With loss 0.1267430099331721
epoch: 15669
Epoch 15669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15669With loss 0.1267430099331721
epoch: 15670
Epoch 15670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15670With loss 0.1267430099331721
epoch: 15671
Epoch 15671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15671With loss 0.1267430099331721
epoch: 15672
Epoch 15672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15672With loss 0.1267430099331721
epoch: 15673
Epoch 15673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15673With loss 0.1267430099331721
epoch: 15674
Epoch 15674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15674With loss 0.1267430099331721
epoch: 15675
Epoch 15675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15675With loss 0.1267430099331721
epoch: 15676
Epoch 15676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15676With loss 0.1267430099331721
epoch: 15677
Epoch 15677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15677With loss 0.1267430099331721
epoch: 15678
Epoch 15678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15678With loss 0.1267430099331721
epoch: 15679
Epoch 15679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15679With loss 0.1267430099331721
epoch: 15680
Epoch 15680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15680With loss 0.1267430099331721
epoch: 15681
Epoch 15681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15681With loss 0.1267430099331721
epoch: 15682
Epoch 15682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15682With loss 0.1267430099331721
epoch: 15683
Epoch 15683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15683With loss 0.1267430099331721
epoch: 15684
Epoch 15684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15684With loss 0.1267430099331721
epoch: 15685
Epoch 15685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15685With loss 0.1267430099331721
epoch: 15686
Epoch 15686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15686With loss 0.1267430099331721
epoch: 15687
Epoch 15687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15687With loss 0.1267430099331721
epoch: 15688
Epoch 15688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15688With loss 0.1267430099331721
epoch: 15689
Epoch 15689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15689With loss 0.1267430099331721
epoch: 15690
Epoch 15690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15690With loss 0.1267430099331721
epoch: 15691
Epoch 15691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15691With loss 0.1267430099331721
epoch: 15692
Epoch 15692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15692With loss 0.1267430099331721
epoch: 15693
Epoch 15693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15693With loss 0.1267430099331721
epoch: 15694
Epoch 15694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15694With loss 0.1267430099331721
epoch: 15695
Epoch 15695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15695With loss 0.1267430099331721
epoch: 15696
Epoch 15696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15696With loss 0.1267430099331721
epoch: 15697
Epoch 15697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15697With loss 0.1267430099331721
epoch: 15698
Epoch 15698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15698With loss 0.1267430099331721
epoch: 15699
Epoch 15699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15699With loss 0.1267430099331721
epoch: 15700
Epoch 15700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15700With loss 0.1267430099331721
epoch: 15701
Epoch 15701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15701With loss 0.1267430099331721
epoch: 15702
Epoch 15702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15702With loss 0.1267430099331721
epoch: 15703
Epoch 15703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15703With loss 0.1267430099331721
epoch: 15704
Epoch 15704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15704With loss 0.1267430099331721
epoch: 15705
Epoch 15705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15705With loss 0.1267430099331721
epoch: 15706
Epoch 15706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15706With loss 0.1267430099331721
epoch: 15707
Epoch 15707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15707With loss 0.1267430099331721
epoch: 15708
Epoch 15708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15708With loss 0.1267430099331721
epoch: 15709
Epoch 15709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15709With loss 0.1267430099331721
epoch: 15710
Epoch 15710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15710With loss 0.1267430099331721
epoch: 15711
Epoch 15711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15711With loss 0.1267430099331721
epoch: 15712
Epoch 15712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15712With loss 0.1267430099331721
epoch: 15713
Epoch 15713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15713With loss 0.1267430099331721
epoch: 15714
Epoch 15714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15714With loss 0.1267430099331721
epoch: 15715
Epoch 15715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15715With loss 0.1267430099331721
epoch: 15716
Epoch 15716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15716With loss 0.1267430099331721
epoch: 15717
Epoch 15717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15717With loss 0.1267430099331721
epoch: 15718
Epoch 15718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15718With loss 0.1267430099331721
epoch: 15719
Epoch 15719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15719With loss 0.1267430099331721
epoch: 15720
Epoch 15720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15720With loss 0.1267430099331721
epoch: 15721
Epoch 15721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15721With loss 0.1267430099331721
epoch: 15722
Epoch 15722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15722With loss 0.1267430099331721
epoch: 15723
Epoch 15723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15723With loss 0.1267430099331721
epoch: 15724
Epoch 15724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15724With loss 0.1267430099331721
epoch: 15725
Epoch 15725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15725With loss 0.1267430099331721
epoch: 15726
Epoch 15726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15726With loss 0.1267430099331721
epoch: 15727
Epoch 15727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15727With loss 0.1267430099331721
epoch: 15728
Epoch 15728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15728With loss 0.1267430099331721
epoch: 15729
Epoch 15729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15729With loss 0.1267430099331721
epoch: 15730
Epoch 15730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15730With loss 0.1267430099331721
epoch: 15731
Epoch 15731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15731With loss 0.1267430099331721
epoch: 15732
Epoch 15732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15732With loss 0.1267430099331721
epoch: 15733
Epoch 15733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15733With loss 0.1267430099331721
epoch: 15734
Epoch 15734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15734With loss 0.1267430099331721
epoch: 15735
Epoch 15735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15735With loss 0.1267430099331721
epoch: 15736
Epoch 15736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15736With loss 0.1267430099331721
epoch: 15737
Epoch 15737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15737With loss 0.1267430099331721
epoch: 15738
Epoch 15738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15738With loss 0.1267430099331721
epoch: 15739
Epoch 15739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15739With loss 0.1267430099331721
epoch: 15740
Epoch 15740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15740With loss 0.1267430099331721
epoch: 15741
Epoch 15741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15741With loss 0.1267430099331721
epoch: 15742
Epoch 15742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15742With loss 0.1267430099331721
epoch: 15743
Epoch 15743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15743With loss 0.1267430099331721
epoch: 15744
Epoch 15744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15744With loss 0.1267430099331721
epoch: 15745
Epoch 15745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15745With loss 0.1267430099331721
epoch: 15746
Epoch 15746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15746With loss 0.1267430099331721
epoch: 15747
Epoch 15747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15747With loss 0.1267430099331721
epoch: 15748
Epoch 15748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15748With loss 0.1267430099331721
epoch: 15749
Epoch 15749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15749With loss 0.1267430099331721
epoch: 15750
Epoch 15750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15750With loss 0.1267430099331721
epoch: 15751
Epoch 15751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15751With loss 0.1267430099331721
epoch: 15752
Epoch 15752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15752With loss 0.1267430099331721
epoch: 15753
Epoch 15753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15753With loss 0.1267430099331721
epoch: 15754
Epoch 15754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15754With loss 0.1267430099331721
epoch: 15755
Epoch 15755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15755With loss 0.1267430099331721
epoch: 15756
Epoch 15756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15756With loss 0.1267430099331721
epoch: 15757
Epoch 15757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15757With loss 0.1267430099331721
epoch: 15758
Epoch 15758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15758With loss 0.1267430099331721
epoch: 15759
Epoch 15759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15759With loss 0.1267430099331721
epoch: 15760
Epoch 15760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15760With loss 0.1267430099331721
epoch: 15761
Epoch 15761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15761With loss 0.1267430099331721
epoch: 15762
Epoch 15762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15762With loss 0.1267430099331721
epoch: 15763
Epoch 15763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15763With loss 0.1267430099331721
epoch: 15764
Epoch 15764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15764With loss 0.1267430099331721
epoch: 15765
Epoch 15765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15765With loss 0.1267430099331721
epoch: 15766
Epoch 15766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15766With loss 0.1267430099331721
epoch: 15767
Epoch 15767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15767With loss 0.1267430099331721
epoch: 15768
Epoch 15768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15768With loss 0.1267430099331721
epoch: 15769
Epoch 15769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15769With loss 0.1267430099331721
epoch: 15770
Epoch 15770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15770With loss 0.1267430099331721
epoch: 15771
Epoch 15771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15771With loss 0.1267430099331721
epoch: 15772
Epoch 15772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15772With loss 0.1267430099331721
epoch: 15773
Epoch 15773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15773With loss 0.1267430099331721
epoch: 15774
Epoch 15774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15774With loss 0.1267430099331721
epoch: 15775
Epoch 15775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15775With loss 0.1267430099331721
epoch: 15776
Epoch 15776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15776With loss 0.1267430099331721
epoch: 15777
Epoch 15777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15777With loss 0.1267430099331721
epoch: 15778
Epoch 15778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15778With loss 0.1267430099331721
epoch: 15779
Epoch 15779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15779With loss 0.1267430099331721
epoch: 15780
Epoch 15780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15780With loss 0.1267430099331721
epoch: 15781
Epoch 15781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15781With loss 0.1267430099331721
epoch: 15782
Epoch 15782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15782With loss 0.1267430099331721
epoch: 15783
Epoch 15783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15783With loss 0.1267430099331721
epoch: 15784
Epoch 15784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15784With loss 0.1267430099331721
epoch: 15785
Epoch 15785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15785With loss 0.1267430099331721
epoch: 15786
Epoch 15786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15786With loss 0.1267430099331721
epoch: 15787
Epoch 15787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15787With loss 0.1267430099331721
epoch: 15788
Epoch 15788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15788With loss 0.1267430099331721
epoch: 15789
Epoch 15789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15789With loss 0.1267430099331721
epoch: 15790
Epoch 15790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15790With loss 0.1267430099331721
epoch: 15791
Epoch 15791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15791With loss 0.1267430099331721
epoch: 15792
Epoch 15792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15792With loss 0.1267430099331721
epoch: 15793
Epoch 15793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15793With loss 0.1267430099331721
epoch: 15794
Epoch 15794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15794With loss 0.1267430099331721
epoch: 15795
Epoch 15795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15795With loss 0.1267430099331721
epoch: 15796
Epoch 15796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15796With loss 0.1267430099331721
epoch: 15797
Epoch 15797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15797With loss 0.1267430099331721
epoch: 15798
Epoch 15798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15798With loss 0.1267430099331721
epoch: 15799
Epoch 15799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15799With loss 0.1267430099331721
epoch: 15800
Epoch 15800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15800With loss 0.1267430099331721
epoch: 15801
Epoch 15801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15801With loss 0.1267430099331721
epoch: 15802
Epoch 15802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15802With loss 0.1267430099331721
epoch: 15803
Epoch 15803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15803With loss 0.1267430099331721
epoch: 15804
Epoch 15804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15804With loss 0.1267430099331721
epoch: 15805
Epoch 15805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15805With loss 0.1267430099331721
epoch: 15806
Epoch 15806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15806With loss 0.1267430099331721
epoch: 15807
Epoch 15807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15807With loss 0.1267430099331721
epoch: 15808
Epoch 15808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15808With loss 0.1267430099331721
epoch: 15809
Epoch 15809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15809With loss 0.1267430099331721
epoch: 15810
Epoch 15810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15810With loss 0.1267430099331721
epoch: 15811
Epoch 15811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15811With loss 0.1267430099331721
epoch: 15812
Epoch 15812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15812With loss 0.1267430099331721
epoch: 15813
Epoch 15813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15813With loss 0.1267430099331721
epoch: 15814
Epoch 15814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15814With loss 0.1267430099331721
epoch: 15815
Epoch 15815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15815With loss 0.1267430099331721
epoch: 15816
Epoch 15816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15816With loss 0.1267430099331721
epoch: 15817
Epoch 15817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15817With loss 0.1267430099331721
epoch: 15818
Epoch 15818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15818With loss 0.1267430099331721
epoch: 15819
Epoch 15819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15819With loss 0.1267430099331721
epoch: 15820
Epoch 15820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15820With loss 0.1267430099331721
epoch: 15821
Epoch 15821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15821With loss 0.1267430099331721
epoch: 15822
Epoch 15822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15822With loss 0.1267430099331721
epoch: 15823
Epoch 15823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15823With loss 0.1267430099331721
epoch: 15824
Epoch 15824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15824With loss 0.1267430099331721
epoch: 15825
Epoch 15825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15825With loss 0.1267430099331721
epoch: 15826
Epoch 15826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15826With loss 0.1267430099331721
epoch: 15827
Epoch 15827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15827With loss 0.1267430099331721
epoch: 15828
Epoch 15828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15828With loss 0.1267430099331721
epoch: 15829
Epoch 15829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15829With loss 0.1267430099331721
epoch: 15830
Epoch 15830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15830With loss 0.1267430099331721
epoch: 15831
Epoch 15831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15831With loss 0.1267430099331721
epoch: 15832
Epoch 15832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15832With loss 0.1267430099331721
epoch: 15833
Epoch 15833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15833With loss 0.1267430099331721
epoch: 15834
Epoch 15834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15834With loss 0.1267430099331721
epoch: 15835
Epoch 15835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15835With loss 0.1267430099331721
epoch: 15836
Epoch 15836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15836With loss 0.1267430099331721
epoch: 15837
Epoch 15837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15837With loss 0.1267430099331721
epoch: 15838
Epoch 15838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15838With loss 0.1267430099331721
epoch: 15839
Epoch 15839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15839With loss 0.1267430099331721
epoch: 15840
Epoch 15840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15840With loss 0.1267430099331721
epoch: 15841
Epoch 15841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15841With loss 0.1267430099331721
epoch: 15842
Epoch 15842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15842With loss 0.1267430099331721
epoch: 15843
Epoch 15843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15843With loss 0.1267430099331721
epoch: 15844
Epoch 15844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15844With loss 0.1267430099331721
epoch: 15845
Epoch 15845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15845With loss 0.1267430099331721
epoch: 15846
Epoch 15846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15846With loss 0.1267430099331721
epoch: 15847
Epoch 15847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15847With loss 0.1267430099331721
epoch: 15848
Epoch 15848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15848With loss 0.1267430099331721
epoch: 15849
Epoch 15849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15849With loss 0.1267430099331721
epoch: 15850
Epoch 15850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15850With loss 0.1267430099331721
epoch: 15851
Epoch 15851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15851With loss 0.1267430099331721
epoch: 15852
Epoch 15852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15852With loss 0.1267430099331721
epoch: 15853
Epoch 15853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15853With loss 0.1267430099331721
epoch: 15854
Epoch 15854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15854With loss 0.1267430099331721
epoch: 15855
Epoch 15855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15855With loss 0.1267430099331721
epoch: 15856
Epoch 15856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15856With loss 0.1267430099331721
epoch: 15857
Epoch 15857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15857With loss 0.1267430099331721
epoch: 15858
Epoch 15858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15858With loss 0.1267430099331721
epoch: 15859
Epoch 15859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15859With loss 0.1267430099331721
epoch: 15860
Epoch 15860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15860With loss 0.1267430099331721
epoch: 15861
Epoch 15861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15861With loss 0.1267430099331721
epoch: 15862
Epoch 15862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15862With loss 0.1267430099331721
epoch: 15863
Epoch 15863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15863With loss 0.1267430099331721
epoch: 15864
Epoch 15864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15864With loss 0.1267430099331721
epoch: 15865
Epoch 15865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15865With loss 0.1267430099331721
epoch: 15866
Epoch 15866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15866With loss 0.1267430099331721
epoch: 15867
Epoch 15867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15867With loss 0.1267430099331721
epoch: 15868
Epoch 15868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15868With loss 0.1267430099331721
epoch: 15869
Epoch 15869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15869With loss 0.1267430099331721
epoch: 15870
Epoch 15870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15870With loss 0.1267430099331721
epoch: 15871
Epoch 15871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15871With loss 0.1267430099331721
epoch: 15872
Epoch 15872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15872With loss 0.1267430099331721
epoch: 15873
Epoch 15873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15873With loss 0.1267430099331721
epoch: 15874
Epoch 15874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15874With loss 0.1267430099331721
epoch: 15875
Epoch 15875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15875With loss 0.1267430099331721
epoch: 15876
Epoch 15876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15876With loss 0.1267430099331721
epoch: 15877
Epoch 15877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15877With loss 0.1267430099331721
epoch: 15878
Epoch 15878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15878With loss 0.1267430099331721
epoch: 15879
Epoch 15879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15879With loss 0.1267430099331721
epoch: 15880
Epoch 15880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15880With loss 0.1267430099331721
epoch: 15881
Epoch 15881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15881With loss 0.1267430099331721
epoch: 15882
Epoch 15882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15882With loss 0.1267430099331721
epoch: 15883
Epoch 15883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15883With loss 0.1267430099331721
epoch: 15884
Epoch 15884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15884With loss 0.1267430099331721
epoch: 15885
Epoch 15885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15885With loss 0.1267430099331721
epoch: 15886
Epoch 15886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15886With loss 0.1267430099331721
epoch: 15887
Epoch 15887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15887With loss 0.1267430099331721
epoch: 15888
Epoch 15888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15888With loss 0.1267430099331721
epoch: 15889
Epoch 15889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15889With loss 0.1267430099331721
epoch: 15890
Epoch 15890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15890With loss 0.1267430099331721
epoch: 15891
Epoch 15891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15891With loss 0.1267430099331721
epoch: 15892
Epoch 15892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15892With loss 0.1267430099331721
epoch: 15893
Epoch 15893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15893With loss 0.1267430099331721
epoch: 15894
Epoch 15894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15894With loss 0.1267430099331721
epoch: 15895
Epoch 15895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15895With loss 0.1267430099331721
epoch: 15896
Epoch 15896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15896With loss 0.1267430099331721
epoch: 15897
Epoch 15897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15897With loss 0.1267430099331721
epoch: 15898
Epoch 15898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15898With loss 0.1267430099331721
epoch: 15899
Epoch 15899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15899With loss 0.1267430099331721
epoch: 15900
Epoch 15900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15900With loss 0.1267430099331721
epoch: 15901
Epoch 15901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15901With loss 0.1267430099331721
epoch: 15902
Epoch 15902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15902With loss 0.1267430099331721
epoch: 15903
Epoch 15903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15903With loss 0.1267430099331721
epoch: 15904
Epoch 15904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15904With loss 0.1267430099331721
epoch: 15905
Epoch 15905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15905With loss 0.1267430099331721
epoch: 15906
Epoch 15906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15906With loss 0.1267430099331721
epoch: 15907
Epoch 15907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15907With loss 0.1267430099331721
epoch: 15908
Epoch 15908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15908With loss 0.1267430099331721
epoch: 15909
Epoch 15909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15909With loss 0.1267430099331721
epoch: 15910
Epoch 15910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15910With loss 0.1267430099331721
epoch: 15911
Epoch 15911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15911With loss 0.1267430099331721
epoch: 15912
Epoch 15912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15912With loss 0.1267430099331721
epoch: 15913
Epoch 15913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15913With loss 0.1267430099331721
epoch: 15914
Epoch 15914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15914With loss 0.1267430099331721
epoch: 15915
Epoch 15915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15915With loss 0.1267430099331721
epoch: 15916
Epoch 15916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15916With loss 0.1267430099331721
epoch: 15917
Epoch 15917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15917With loss 0.1267430099331721
epoch: 15918
Epoch 15918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15918With loss 0.1267430099331721
epoch: 15919
Epoch 15919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15919With loss 0.1267430099331721
epoch: 15920
Epoch 15920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15920With loss 0.1267430099331721
epoch: 15921
Epoch 15921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15921With loss 0.1267430099331721
epoch: 15922
Epoch 15922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15922With loss 0.1267430099331721
epoch: 15923
Epoch 15923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15923With loss 0.1267430099331721
epoch: 15924
Epoch 15924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15924With loss 0.1267430099331721
epoch: 15925
Epoch 15925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15925With loss 0.1267430099331721
epoch: 15926
Epoch 15926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15926With loss 0.1267430099331721
epoch: 15927
Epoch 15927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15927With loss 0.1267430099331721
epoch: 15928
Epoch 15928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15928With loss 0.1267430099331721
epoch: 15929
Epoch 15929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15929With loss 0.1267430099331721
epoch: 15930
Epoch 15930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15930With loss 0.1267430099331721
epoch: 15931
Epoch 15931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15931With loss 0.1267430099331721
epoch: 15932
Epoch 15932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15932With loss 0.1267430099331721
epoch: 15933
Epoch 15933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15933With loss 0.1267430099331721
epoch: 15934
Epoch 15934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15934With loss 0.1267430099331721
epoch: 15935
Epoch 15935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15935With loss 0.1267430099331721
epoch: 15936
Epoch 15936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15936With loss 0.1267430099331721
epoch: 15937
Epoch 15937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15937With loss 0.1267430099331721
epoch: 15938
Epoch 15938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15938With loss 0.1267430099331721
epoch: 15939
Epoch 15939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15939With loss 0.1267430099331721
epoch: 15940
Epoch 15940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15940With loss 0.1267430099331721
epoch: 15941
Epoch 15941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15941With loss 0.1267430099331721
epoch: 15942
Epoch 15942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15942With loss 0.1267430099331721
epoch: 15943
Epoch 15943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15943With loss 0.1267430099331721
epoch: 15944
Epoch 15944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15944With loss 0.1267430099331721
epoch: 15945
Epoch 15945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15945With loss 0.1267430099331721
epoch: 15946
Epoch 15946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15946With loss 0.1267430099331721
epoch: 15947
Epoch 15947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15947With loss 0.1267430099331721
epoch: 15948
Epoch 15948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15948With loss 0.1267430099331721
epoch: 15949
Epoch 15949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15949With loss 0.1267430099331721
epoch: 15950
Epoch 15950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15950With loss 0.1267430099331721
epoch: 15951
Epoch 15951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15951With loss 0.1267430099331721
epoch: 15952
Epoch 15952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15952With loss 0.1267430099331721
epoch: 15953
Epoch 15953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15953With loss 0.1267430099331721
epoch: 15954
Epoch 15954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15954With loss 0.1267430099331721
epoch: 15955
Epoch 15955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15955With loss 0.1267430099331721
epoch: 15956
Epoch 15956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15956With loss 0.1267430099331721
epoch: 15957
Epoch 15957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15957With loss 0.1267430099331721
epoch: 15958
Epoch 15958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15958With loss 0.1267430099331721
epoch: 15959
Epoch 15959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15959With loss 0.1267430099331721
epoch: 15960
Epoch 15960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15960With loss 0.1267430099331721
epoch: 15961
Epoch 15961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15961With loss 0.1267430099331721
epoch: 15962
Epoch 15962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15962With loss 0.1267430099331721
epoch: 15963
Epoch 15963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15963With loss 0.1267430099331721
epoch: 15964
Epoch 15964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15964With loss 0.1267430099331721
epoch: 15965
Epoch 15965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15965With loss 0.1267430099331721
epoch: 15966
Epoch 15966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15966With loss 0.1267430099331721
epoch: 15967
Epoch 15967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15967With loss 0.1267430099331721
epoch: 15968
Epoch 15968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15968With loss 0.1267430099331721
epoch: 15969
Epoch 15969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15969With loss 0.1267430099331721
epoch: 15970
Epoch 15970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15970With loss 0.1267430099331721
epoch: 15971
Epoch 15971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15971With loss 0.1267430099331721
epoch: 15972
Epoch 15972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15972With loss 0.1267430099331721
epoch: 15973
Epoch 15973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15973With loss 0.1267430099331721
epoch: 15974
Epoch 15974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15974With loss 0.1267430099331721
epoch: 15975
Epoch 15975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15975With loss 0.1267430099331721
epoch: 15976
Epoch 15976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15976With loss 0.1267430099331721
epoch: 15977
Epoch 15977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15977With loss 0.1267430099331721
epoch: 15978
Epoch 15978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15978With loss 0.1267430099331721
epoch: 15979
Epoch 15979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15979With loss 0.1267430099331721
epoch: 15980
Epoch 15980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15980With loss 0.1267430099331721
epoch: 15981
Epoch 15981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15981With loss 0.1267430099331721
epoch: 15982
Epoch 15982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15982With loss 0.1267430099331721
epoch: 15983
Epoch 15983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15983With loss 0.1267430099331721
epoch: 15984
Epoch 15984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15984With loss 0.1267430099331721
epoch: 15985
Epoch 15985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15985With loss 0.1267430099331721
epoch: 15986
Epoch 15986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15986With loss 0.1267430099331721
epoch: 15987
Epoch 15987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15987With loss 0.1267430099331721
epoch: 15988
Epoch 15988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15988With loss 0.1267430099331721
epoch: 15989
Epoch 15989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15989With loss 0.1267430099331721
epoch: 15990
Epoch 15990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15990With loss 0.1267430099331721
epoch: 15991
Epoch 15991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15991With loss 0.1267430099331721
epoch: 15992
Epoch 15992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15992With loss 0.1267430099331721
epoch: 15993
Epoch 15993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15993With loss 0.1267430099331721
epoch: 15994
Epoch 15994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15994With loss 0.1267430099331721
epoch: 15995
Epoch 15995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15995With loss 0.1267430099331721
epoch: 15996
Epoch 15996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15996With loss 0.1267430099331721
epoch: 15997
Epoch 15997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15997With loss 0.1267430099331721
epoch: 15998
Epoch 15998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15998With loss 0.1267430099331721
epoch: 15999
Epoch 15999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 15999With loss 0.1267430099331721
epoch: 16000
Epoch 16000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16000With loss 0.1267430099331721
epoch: 16001
Epoch 16001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16001With loss 0.1267430099331721
epoch: 16002
Epoch 16002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16002With loss 0.1267430099331721
epoch: 16003
Epoch 16003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16003With loss 0.1267430099331721
epoch: 16004
Epoch 16004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16004With loss 0.1267430099331721
epoch: 16005
Epoch 16005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16005With loss 0.1267430099331721
epoch: 16006
Epoch 16006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16006With loss 0.1267430099331721
epoch: 16007
Epoch 16007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16007With loss 0.1267430099331721
epoch: 16008
Epoch 16008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16008With loss 0.1267430099331721
epoch: 16009
Epoch 16009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16009With loss 0.1267430099331721
epoch: 16010
Epoch 16010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16010With loss 0.1267430099331721
epoch: 16011
Epoch 16011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16011With loss 0.1267430099331721
epoch: 16012
Epoch 16012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16012With loss 0.1267430099331721
epoch: 16013
Epoch 16013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16013With loss 0.1267430099331721
epoch: 16014
Epoch 16014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16014With loss 0.1267430099331721
epoch: 16015
Epoch 16015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16015With loss 0.1267430099331721
epoch: 16016
Epoch 16016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16016With loss 0.1267430099331721
epoch: 16017
Epoch 16017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16017With loss 0.1267430099331721
epoch: 16018
Epoch 16018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16018With loss 0.1267430099331721
epoch: 16019
Epoch 16019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16019With loss 0.1267430099331721
epoch: 16020
Epoch 16020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16020With loss 0.1267430099331721
epoch: 16021
Epoch 16021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16021With loss 0.1267430099331721
epoch: 16022
Epoch 16022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16022With loss 0.1267430099331721
epoch: 16023
Epoch 16023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16023With loss 0.1267430099331721
epoch: 16024
Epoch 16024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16024With loss 0.1267430099331721
epoch: 16025
Epoch 16025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16025With loss 0.1267430099331721
epoch: 16026
Epoch 16026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16026With loss 0.1267430099331721
epoch: 16027
Epoch 16027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16027With loss 0.1267430099331721
epoch: 16028
Epoch 16028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16028With loss 0.1267430099331721
epoch: 16029
Epoch 16029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16029With loss 0.1267430099331721
epoch: 16030
Epoch 16030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16030With loss 0.1267430099331721
epoch: 16031
Epoch 16031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16031With loss 0.1267430099331721
epoch: 16032
Epoch 16032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16032With loss 0.1267430099331721
epoch: 16033
Epoch 16033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16033With loss 0.1267430099331721
epoch: 16034
Epoch 16034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16034With loss 0.1267430099331721
epoch: 16035
Epoch 16035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16035With loss 0.1267430099331721
epoch: 16036
Epoch 16036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16036With loss 0.1267430099331721
epoch: 16037
Epoch 16037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16037With loss 0.1267430099331721
epoch: 16038
Epoch 16038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16038With loss 0.1267430099331721
epoch: 16039
Epoch 16039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16039With loss 0.1267430099331721
epoch: 16040
Epoch 16040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16040With loss 0.1267430099331721
epoch: 16041
Epoch 16041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16041With loss 0.1267430099331721
epoch: 16042
Epoch 16042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16042With loss 0.1267430099331721
epoch: 16043
Epoch 16043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16043With loss 0.1267430099331721
epoch: 16044
Epoch 16044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16044With loss 0.1267430099331721
epoch: 16045
Epoch 16045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16045With loss 0.1267430099331721
epoch: 16046
Epoch 16046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16046With loss 0.1267430099331721
epoch: 16047
Epoch 16047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16047With loss 0.1267430099331721
epoch: 16048
Epoch 16048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16048With loss 0.1267430099331721
epoch: 16049
Epoch 16049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16049With loss 0.1267430099331721
epoch: 16050
Epoch 16050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16050With loss 0.1267430099331721
epoch: 16051
Epoch 16051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16051With loss 0.1267430099331721
epoch: 16052
Epoch 16052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16052With loss 0.1267430099331721
epoch: 16053
Epoch 16053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16053With loss 0.1267430099331721
epoch: 16054
Epoch 16054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16054With loss 0.1267430099331721
epoch: 16055
Epoch 16055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16055With loss 0.1267430099331721
epoch: 16056
Epoch 16056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16056With loss 0.1267430099331721
epoch: 16057
Epoch 16057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16057With loss 0.1267430099331721
epoch: 16058
Epoch 16058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16058With loss 0.1267430099331721
epoch: 16059
Epoch 16059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16059With loss 0.1267430099331721
epoch: 16060
Epoch 16060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16060With loss 0.1267430099331721
epoch: 16061
Epoch 16061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16061With loss 0.1267430099331721
epoch: 16062
Epoch 16062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16062With loss 0.1267430099331721
epoch: 16063
Epoch 16063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16063With loss 0.1267430099331721
epoch: 16064
Epoch 16064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16064With loss 0.1267430099331721
epoch: 16065
Epoch 16065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16065With loss 0.1267430099331721
epoch: 16066
Epoch 16066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16066With loss 0.1267430099331721
epoch: 16067
Epoch 16067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16067With loss 0.1267430099331721
epoch: 16068
Epoch 16068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16068With loss 0.1267430099331721
epoch: 16069
Epoch 16069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16069With loss 0.1267430099331721
epoch: 16070
Epoch 16070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16070With loss 0.1267430099331721
epoch: 16071
Epoch 16071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16071With loss 0.1267430099331721
epoch: 16072
Epoch 16072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16072With loss 0.1267430099331721
epoch: 16073
Epoch 16073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16073With loss 0.1267430099331721
epoch: 16074
Epoch 16074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16074With loss 0.1267430099331721
epoch: 16075
Epoch 16075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16075With loss 0.1267430099331721
epoch: 16076
Epoch 16076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16076With loss 0.1267430099331721
epoch: 16077
Epoch 16077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16077With loss 0.1267430099331721
epoch: 16078
Epoch 16078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16078With loss 0.1267430099331721
epoch: 16079
Epoch 16079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16079With loss 0.1267430099331721
epoch: 16080
Epoch 16080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16080With loss 0.1267430099331721
epoch: 16081
Epoch 16081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16081With loss 0.1267430099331721
epoch: 16082
Epoch 16082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16082With loss 0.1267430099331721
epoch: 16083
Epoch 16083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16083With loss 0.1267430099331721
epoch: 16084
Epoch 16084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16084With loss 0.1267430099331721
epoch: 16085
Epoch 16085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16085With loss 0.1267430099331721
epoch: 16086
Epoch 16086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16086With loss 0.1267430099331721
epoch: 16087
Epoch 16087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16087With loss 0.1267430099331721
epoch: 16088
Epoch 16088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16088With loss 0.1267430099331721
epoch: 16089
Epoch 16089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16089With loss 0.1267430099331721
epoch: 16090
Epoch 16090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16090With loss 0.1267430099331721
epoch: 16091
Epoch 16091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16091With loss 0.1267430099331721
epoch: 16092
Epoch 16092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16092With loss 0.1267430099331721
epoch: 16093
Epoch 16093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16093With loss 0.1267430099331721
epoch: 16094
Epoch 16094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16094With loss 0.1267430099331721
epoch: 16095
Epoch 16095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16095With loss 0.1267430099331721
epoch: 16096
Epoch 16096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16096With loss 0.1267430099331721
epoch: 16097
Epoch 16097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16097With loss 0.1267430099331721
epoch: 16098
Epoch 16098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16098With loss 0.1267430099331721
epoch: 16099
Epoch 16099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16099With loss 0.1267430099331721
epoch: 16100
Epoch 16100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16100With loss 0.1267430099331721
epoch: 16101
Epoch 16101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16101With loss 0.1267430099331721
epoch: 16102
Epoch 16102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16102With loss 0.1267430099331721
epoch: 16103
Epoch 16103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16103With loss 0.1267430099331721
epoch: 16104
Epoch 16104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16104With loss 0.1267430099331721
epoch: 16105
Epoch 16105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16105With loss 0.1267430099331721
epoch: 16106
Epoch 16106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16106With loss 0.1267430099331721
epoch: 16107
Epoch 16107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16107With loss 0.1267430099331721
epoch: 16108
Epoch 16108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16108With loss 0.1267430099331721
epoch: 16109
Epoch 16109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16109With loss 0.1267430099331721
epoch: 16110
Epoch 16110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16110With loss 0.1267430099331721
epoch: 16111
Epoch 16111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16111With loss 0.1267430099331721
epoch: 16112
Epoch 16112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16112With loss 0.1267430099331721
epoch: 16113
Epoch 16113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16113With loss 0.1267430099331721
epoch: 16114
Epoch 16114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16114With loss 0.1267430099331721
epoch: 16115
Epoch 16115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16115With loss 0.1267430099331721
epoch: 16116
Epoch 16116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16116With loss 0.1267430099331721
epoch: 16117
Epoch 16117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16117With loss 0.1267430099331721
epoch: 16118
Epoch 16118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16118With loss 0.1267430099331721
epoch: 16119
Epoch 16119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16119With loss 0.1267430099331721
epoch: 16120
Epoch 16120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16120With loss 0.1267430099331721
epoch: 16121
Epoch 16121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16121With loss 0.1267430099331721
epoch: 16122
Epoch 16122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16122With loss 0.1267430099331721
epoch: 16123
Epoch 16123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16123With loss 0.1267430099331721
epoch: 16124
Epoch 16124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16124With loss 0.1267430099331721
epoch: 16125
Epoch 16125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16125With loss 0.1267430099331721
epoch: 16126
Epoch 16126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16126With loss 0.1267430099331721
epoch: 16127
Epoch 16127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16127With loss 0.1267430099331721
epoch: 16128
Epoch 16128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16128With loss 0.1267430099331721
epoch: 16129
Epoch 16129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16129With loss 0.1267430099331721
epoch: 16130
Epoch 16130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16130With loss 0.1267430099331721
epoch: 16131
Epoch 16131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16131With loss 0.1267430099331721
epoch: 16132
Epoch 16132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16132With loss 0.1267430099331721
epoch: 16133
Epoch 16133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16133With loss 0.1267430099331721
epoch: 16134
Epoch 16134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16134With loss 0.1267430099331721
epoch: 16135
Epoch 16135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16135With loss 0.1267430099331721
epoch: 16136
Epoch 16136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16136With loss 0.1267430099331721
epoch: 16137
Epoch 16137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16137With loss 0.1267430099331721
epoch: 16138
Epoch 16138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16138With loss 0.1267430099331721
epoch: 16139
Epoch 16139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16139With loss 0.1267430099331721
epoch: 16140
Epoch 16140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16140With loss 0.1267430099331721
epoch: 16141
Epoch 16141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16141With loss 0.1267430099331721
epoch: 16142
Epoch 16142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16142With loss 0.1267430099331721
epoch: 16143
Epoch 16143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16143With loss 0.1267430099331721
epoch: 16144
Epoch 16144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16144With loss 0.1267430099331721
epoch: 16145
Epoch 16145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16145With loss 0.1267430099331721
epoch: 16146
Epoch 16146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16146With loss 0.1267430099331721
epoch: 16147
Epoch 16147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16147With loss 0.1267430099331721
epoch: 16148
Epoch 16148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16148With loss 0.1267430099331721
epoch: 16149
Epoch 16149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16149With loss 0.1267430099331721
epoch: 16150
Epoch 16150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16150With loss 0.1267430099331721
epoch: 16151
Epoch 16151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16151With loss 0.1267430099331721
epoch: 16152
Epoch 16152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16152With loss 0.1267430099331721
epoch: 16153
Epoch 16153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16153With loss 0.1267430099331721
epoch: 16154
Epoch 16154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16154With loss 0.1267430099331721
epoch: 16155
Epoch 16155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16155With loss 0.1267430099331721
epoch: 16156
Epoch 16156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16156With loss 0.1267430099331721
epoch: 16157
Epoch 16157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16157With loss 0.1267430099331721
epoch: 16158
Epoch 16158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16158With loss 0.1267430099331721
epoch: 16159
Epoch 16159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16159With loss 0.1267430099331721
epoch: 16160
Epoch 16160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16160With loss 0.1267430099331721
epoch: 16161
Epoch 16161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16161With loss 0.1267430099331721
epoch: 16162
Epoch 16162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16162With loss 0.1267430099331721
epoch: 16163
Epoch 16163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16163With loss 0.1267430099331721
epoch: 16164
Epoch 16164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16164With loss 0.1267430099331721
epoch: 16165
Epoch 16165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16165With loss 0.1267430099331721
epoch: 16166
Epoch 16166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16166With loss 0.1267430099331721
epoch: 16167
Epoch 16167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16167With loss 0.1267430099331721
epoch: 16168
Epoch 16168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16168With loss 0.1267430099331721
epoch: 16169
Epoch 16169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16169With loss 0.1267430099331721
epoch: 16170
Epoch 16170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16170With loss 0.1267430099331721
epoch: 16171
Epoch 16171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16171With loss 0.1267430099331721
epoch: 16172
Epoch 16172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16172With loss 0.1267430099331721
epoch: 16173
Epoch 16173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16173With loss 0.1267430099331721
epoch: 16174
Epoch 16174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16174With loss 0.1267430099331721
epoch: 16175
Epoch 16175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16175With loss 0.1267430099331721
epoch: 16176
Epoch 16176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16176With loss 0.1267430099331721
epoch: 16177
Epoch 16177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16177With loss 0.1267430099331721
epoch: 16178
Epoch 16178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16178With loss 0.1267430099331721
epoch: 16179
Epoch 16179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16179With loss 0.1267430099331721
epoch: 16180
Epoch 16180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16180With loss 0.1267430099331721
epoch: 16181
Epoch 16181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16181With loss 0.1267430099331721
epoch: 16182
Epoch 16182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16182With loss 0.1267430099331721
epoch: 16183
Epoch 16183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16183With loss 0.1267430099331721
epoch: 16184
Epoch 16184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16184With loss 0.1267430099331721
epoch: 16185
Epoch 16185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16185With loss 0.1267430099331721
epoch: 16186
Epoch 16186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16186With loss 0.1267430099331721
epoch: 16187
Epoch 16187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16187With loss 0.1267430099331721
epoch: 16188
Epoch 16188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16188With loss 0.1267430099331721
epoch: 16189
Epoch 16189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16189With loss 0.1267430099331721
epoch: 16190
Epoch 16190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16190With loss 0.1267430099331721
epoch: 16191
Epoch 16191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16191With loss 0.1267430099331721
epoch: 16192
Epoch 16192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16192With loss 0.1267430099331721
epoch: 16193
Epoch 16193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16193With loss 0.1267430099331721
epoch: 16194
Epoch 16194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16194With loss 0.1267430099331721
epoch: 16195
Epoch 16195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16195With loss 0.1267430099331721
epoch: 16196
Epoch 16196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16196With loss 0.1267430099331721
epoch: 16197
Epoch 16197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16197With loss 0.1267430099331721
epoch: 16198
Epoch 16198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16198With loss 0.1267430099331721
epoch: 16199
Epoch 16199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16199With loss 0.1267430099331721
epoch: 16200
Epoch 16200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16200With loss 0.1267430099331721
epoch: 16201
Epoch 16201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16201With loss 0.1267430099331721
epoch: 16202
Epoch 16202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16202With loss 0.1267430099331721
epoch: 16203
Epoch 16203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16203With loss 0.1267430099331721
epoch: 16204
Epoch 16204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16204With loss 0.1267430099331721
epoch: 16205
Epoch 16205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16205With loss 0.1267430099331721
epoch: 16206
Epoch 16206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16206With loss 0.1267430099331721
epoch: 16207
Epoch 16207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16207With loss 0.1267430099331721
epoch: 16208
Epoch 16208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16208With loss 0.1267430099331721
epoch: 16209
Epoch 16209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16209With loss 0.1267430099331721
epoch: 16210
Epoch 16210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16210With loss 0.1267430099331721
epoch: 16211
Epoch 16211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16211With loss 0.1267430099331721
epoch: 16212
Epoch 16212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16212With loss 0.1267430099331721
epoch: 16213
Epoch 16213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16213With loss 0.1267430099331721
epoch: 16214
Epoch 16214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16214With loss 0.1267430099331721
epoch: 16215
Epoch 16215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16215With loss 0.1267430099331721
epoch: 16216
Epoch 16216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16216With loss 0.1267430099331721
epoch: 16217
Epoch 16217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16217With loss 0.1267430099331721
epoch: 16218
Epoch 16218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16218With loss 0.1267430099331721
epoch: 16219
Epoch 16219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16219With loss 0.1267430099331721
epoch: 16220
Epoch 16220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16220With loss 0.1267430099331721
epoch: 16221
Epoch 16221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16221With loss 0.1267430099331721
epoch: 16222
Epoch 16222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16222With loss 0.1267430099331721
epoch: 16223
Epoch 16223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16223With loss 0.1267430099331721
epoch: 16224
Epoch 16224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16224With loss 0.1267430099331721
epoch: 16225
Epoch 16225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16225With loss 0.1267430099331721
epoch: 16226
Epoch 16226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16226With loss 0.1267430099331721
epoch: 16227
Epoch 16227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16227With loss 0.1267430099331721
epoch: 16228
Epoch 16228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16228With loss 0.1267430099331721
epoch: 16229
Epoch 16229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16229With loss 0.1267430099331721
epoch: 16230
Epoch 16230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16230With loss 0.1267430099331721
epoch: 16231
Epoch 16231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16231With loss 0.1267430099331721
epoch: 16232
Epoch 16232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16232With loss 0.1267430099331721
epoch: 16233
Epoch 16233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16233With loss 0.1267430099331721
epoch: 16234
Epoch 16234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16234With loss 0.1267430099331721
epoch: 16235
Epoch 16235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16235With loss 0.1267430099331721
epoch: 16236
Epoch 16236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16236With loss 0.1267430099331721
epoch: 16237
Epoch 16237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16237With loss 0.1267430099331721
epoch: 16238
Epoch 16238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16238With loss 0.1267430099331721
epoch: 16239
Epoch 16239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16239With loss 0.1267430099331721
epoch: 16240
Epoch 16240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16240With loss 0.1267430099331721
epoch: 16241
Epoch 16241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16241With loss 0.1267430099331721
epoch: 16242
Epoch 16242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16242With loss 0.1267430099331721
epoch: 16243
Epoch 16243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16243With loss 0.1267430099331721
epoch: 16244
Epoch 16244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16244With loss 0.1267430099331721
epoch: 16245
Epoch 16245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16245With loss 0.1267430099331721
epoch: 16246
Epoch 16246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16246With loss 0.1267430099331721
epoch: 16247
Epoch 16247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16247With loss 0.1267430099331721
epoch: 16248
Epoch 16248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16248With loss 0.1267430099331721
epoch: 16249
Epoch 16249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16249With loss 0.1267430099331721
epoch: 16250
Epoch 16250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16250With loss 0.1267430099331721
epoch: 16251
Epoch 16251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16251With loss 0.1267430099331721
epoch: 16252
Epoch 16252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16252With loss 0.1267430099331721
epoch: 16253
Epoch 16253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16253With loss 0.1267430099331721
epoch: 16254
Epoch 16254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16254With loss 0.1267430099331721
epoch: 16255
Epoch 16255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16255With loss 0.1267430099331721
epoch: 16256
Epoch 16256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16256With loss 0.1267430099331721
epoch: 16257
Epoch 16257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16257With loss 0.1267430099331721
epoch: 16258
Epoch 16258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16258With loss 0.1267430099331721
epoch: 16259
Epoch 16259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16259With loss 0.1267430099331721
epoch: 16260
Epoch 16260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16260With loss 0.1267430099331721
epoch: 16261
Epoch 16261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16261With loss 0.1267430099331721
epoch: 16262
Epoch 16262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16262With loss 0.1267430099331721
epoch: 16263
Epoch 16263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16263With loss 0.1267430099331721
epoch: 16264
Epoch 16264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16264With loss 0.1267430099331721
epoch: 16265
Epoch 16265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16265With loss 0.1267430099331721
epoch: 16266
Epoch 16266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16266With loss 0.1267430099331721
epoch: 16267
Epoch 16267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16267With loss 0.1267430099331721
epoch: 16268
Epoch 16268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16268With loss 0.1267430099331721
epoch: 16269
Epoch 16269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16269With loss 0.1267430099331721
epoch: 16270
Epoch 16270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16270With loss 0.1267430099331721
epoch: 16271
Epoch 16271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16271With loss 0.1267430099331721
epoch: 16272
Epoch 16272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16272With loss 0.1267430099331721
epoch: 16273
Epoch 16273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16273With loss 0.1267430099331721
epoch: 16274
Epoch 16274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16274With loss 0.1267430099331721
epoch: 16275
Epoch 16275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16275With loss 0.1267430099331721
epoch: 16276
Epoch 16276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16276With loss 0.1267430099331721
epoch: 16277
Epoch 16277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16277With loss 0.1267430099331721
epoch: 16278
Epoch 16278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16278With loss 0.1267430099331721
epoch: 16279
Epoch 16279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16279With loss 0.1267430099331721
epoch: 16280
Epoch 16280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16280With loss 0.1267430099331721
epoch: 16281
Epoch 16281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16281With loss 0.1267430099331721
epoch: 16282
Epoch 16282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16282With loss 0.1267430099331721
epoch: 16283
Epoch 16283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16283With loss 0.1267430099331721
epoch: 16284
Epoch 16284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16284With loss 0.1267430099331721
epoch: 16285
Epoch 16285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16285With loss 0.1267430099331721
epoch: 16286
Epoch 16286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16286With loss 0.1267430099331721
epoch: 16287
Epoch 16287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16287With loss 0.1267430099331721
epoch: 16288
Epoch 16288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16288With loss 0.1267430099331721
epoch: 16289
Epoch 16289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16289With loss 0.1267430099331721
epoch: 16290
Epoch 16290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16290With loss 0.1267430099331721
epoch: 16291
Epoch 16291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16291With loss 0.1267430099331721
epoch: 16292
Epoch 16292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16292With loss 0.1267430099331721
epoch: 16293
Epoch 16293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16293With loss 0.1267430099331721
epoch: 16294
Epoch 16294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16294With loss 0.1267430099331721
epoch: 16295
Epoch 16295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16295With loss 0.1267430099331721
epoch: 16296
Epoch 16296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16296With loss 0.1267430099331721
epoch: 16297
Epoch 16297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16297With loss 0.1267430099331721
epoch: 16298
Epoch 16298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16298With loss 0.1267430099331721
epoch: 16299
Epoch 16299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16299With loss 0.1267430099331721
epoch: 16300
Epoch 16300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16300With loss 0.1267430099331721
epoch: 16301
Epoch 16301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16301With loss 0.1267430099331721
epoch: 16302
Epoch 16302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16302With loss 0.1267430099331721
epoch: 16303
Epoch 16303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16303With loss 0.1267430099331721
epoch: 16304
Epoch 16304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16304With loss 0.1267430099331721
epoch: 16305
Epoch 16305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16305With loss 0.1267430099331721
epoch: 16306
Epoch 16306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16306With loss 0.1267430099331721
epoch: 16307
Epoch 16307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16307With loss 0.1267430099331721
epoch: 16308
Epoch 16308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16308With loss 0.1267430099331721
epoch: 16309
Epoch 16309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16309With loss 0.1267430099331721
epoch: 16310
Epoch 16310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16310With loss 0.1267430099331721
epoch: 16311
Epoch 16311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16311With loss 0.1267430099331721
epoch: 16312
Epoch 16312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16312With loss 0.1267430099331721
epoch: 16313
Epoch 16313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16313With loss 0.1267430099331721
epoch: 16314
Epoch 16314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16314With loss 0.1267430099331721
epoch: 16315
Epoch 16315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16315With loss 0.1267430099331721
epoch: 16316
Epoch 16316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16316With loss 0.1267430099331721
epoch: 16317
Epoch 16317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16317With loss 0.1267430099331721
epoch: 16318
Epoch 16318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16318With loss 0.1267430099331721
epoch: 16319
Epoch 16319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16319With loss 0.1267430099331721
epoch: 16320
Epoch 16320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16320With loss 0.1267430099331721
epoch: 16321
Epoch 16321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16321With loss 0.1267430099331721
epoch: 16322
Epoch 16322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16322With loss 0.1267430099331721
epoch: 16323
Epoch 16323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16323With loss 0.1267430099331721
epoch: 16324
Epoch 16324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16324With loss 0.1267430099331721
epoch: 16325
Epoch 16325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16325With loss 0.1267430099331721
epoch: 16326
Epoch 16326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16326With loss 0.1267430099331721
epoch: 16327
Epoch 16327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16327With loss 0.1267430099331721
epoch: 16328
Epoch 16328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16328With loss 0.1267430099331721
epoch: 16329
Epoch 16329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16329With loss 0.1267430099331721
epoch: 16330
Epoch 16330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16330With loss 0.1267430099331721
epoch: 16331
Epoch 16331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16331With loss 0.1267430099331721
epoch: 16332
Epoch 16332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16332With loss 0.1267430099331721
epoch: 16333
Epoch 16333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16333With loss 0.1267430099331721
epoch: 16334
Epoch 16334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16334With loss 0.1267430099331721
epoch: 16335
Epoch 16335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16335With loss 0.1267430099331721
epoch: 16336
Epoch 16336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16336With loss 0.1267430099331721
epoch: 16337
Epoch 16337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16337With loss 0.1267430099331721
epoch: 16338
Epoch 16338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16338With loss 0.1267430099331721
epoch: 16339
Epoch 16339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16339With loss 0.1267430099331721
epoch: 16340
Epoch 16340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16340With loss 0.1267430099331721
epoch: 16341
Epoch 16341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16341With loss 0.1267430099331721
epoch: 16342
Epoch 16342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16342With loss 0.1267430099331721
epoch: 16343
Epoch 16343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16343With loss 0.1267430099331721
epoch: 16344
Epoch 16344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16344With loss 0.1267430099331721
epoch: 16345
Epoch 16345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16345With loss 0.1267430099331721
epoch: 16346
Epoch 16346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16346With loss 0.1267430099331721
epoch: 16347
Epoch 16347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16347With loss 0.1267430099331721
epoch: 16348
Epoch 16348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16348With loss 0.1267430099331721
epoch: 16349
Epoch 16349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16349With loss 0.1267430099331721
epoch: 16350
Epoch 16350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16350With loss 0.1267430099331721
epoch: 16351
Epoch 16351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16351With loss 0.1267430099331721
epoch: 16352
Epoch 16352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16352With loss 0.1267430099331721
epoch: 16353
Epoch 16353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16353With loss 0.1267430099331721
epoch: 16354
Epoch 16354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16354With loss 0.1267430099331721
epoch: 16355
Epoch 16355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16355With loss 0.1267430099331721
epoch: 16356
Epoch 16356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16356With loss 0.1267430099331721
epoch: 16357
Epoch 16357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16357With loss 0.1267430099331721
epoch: 16358
Epoch 16358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16358With loss 0.1267430099331721
epoch: 16359
Epoch 16359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16359With loss 0.1267430099331721
epoch: 16360
Epoch 16360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16360With loss 0.1267430099331721
epoch: 16361
Epoch 16361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16361With loss 0.1267430099331721
epoch: 16362
Epoch 16362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16362With loss 0.1267430099331721
epoch: 16363
Epoch 16363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16363With loss 0.1267430099331721
epoch: 16364
Epoch 16364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16364With loss 0.1267430099331721
epoch: 16365
Epoch 16365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16365With loss 0.1267430099331721
epoch: 16366
Epoch 16366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16366With loss 0.1267430099331721
epoch: 16367
Epoch 16367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16367With loss 0.1267430099331721
epoch: 16368
Epoch 16368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16368With loss 0.1267430099331721
epoch: 16369
Epoch 16369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16369With loss 0.1267430099331721
epoch: 16370
Epoch 16370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16370With loss 0.1267430099331721
epoch: 16371
Epoch 16371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16371With loss 0.1267430099331721
epoch: 16372
Epoch 16372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16372With loss 0.1267430099331721
epoch: 16373
Epoch 16373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16373With loss 0.1267430099331721
epoch: 16374
Epoch 16374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16374With loss 0.1267430099331721
epoch: 16375
Epoch 16375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16375With loss 0.1267430099331721
epoch: 16376
Epoch 16376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16376With loss 0.1267430099331721
epoch: 16377
Epoch 16377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16377With loss 0.1267430099331721
epoch: 16378
Epoch 16378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16378With loss 0.1267430099331721
epoch: 16379
Epoch 16379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16379With loss 0.1267430099331721
epoch: 16380
Epoch 16380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16380With loss 0.1267430099331721
epoch: 16381
Epoch 16381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16381With loss 0.1267430099331721
epoch: 16382
Epoch 16382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16382With loss 0.1267430099331721
epoch: 16383
Epoch 16383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16383With loss 0.1267430099331721
epoch: 16384
Epoch 16384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16384With loss 0.1267430099331721
epoch: 16385
Epoch 16385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16385With loss 0.1267430099331721
epoch: 16386
Epoch 16386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16386With loss 0.1267430099331721
epoch: 16387
Epoch 16387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16387With loss 0.1267430099331721
epoch: 16388
Epoch 16388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16388With loss 0.1267430099331721
epoch: 16389
Epoch 16389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16389With loss 0.1267430099331721
epoch: 16390
Epoch 16390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16390With loss 0.1267430099331721
epoch: 16391
Epoch 16391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16391With loss 0.1267430099331721
epoch: 16392
Epoch 16392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16392With loss 0.1267430099331721
epoch: 16393
Epoch 16393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16393With loss 0.1267430099331721
epoch: 16394
Epoch 16394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16394With loss 0.1267430099331721
epoch: 16395
Epoch 16395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16395With loss 0.1267430099331721
epoch: 16396
Epoch 16396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16396With loss 0.1267430099331721
epoch: 16397
Epoch 16397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16397With loss 0.1267430099331721
epoch: 16398
Epoch 16398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16398With loss 0.1267430099331721
epoch: 16399
Epoch 16399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16399With loss 0.1267430099331721
epoch: 16400
Epoch 16400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16400With loss 0.1267430099331721
epoch: 16401
Epoch 16401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16401With loss 0.1267430099331721
epoch: 16402
Epoch 16402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16402With loss 0.1267430099331721
epoch: 16403
Epoch 16403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16403With loss 0.1267430099331721
epoch: 16404
Epoch 16404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16404With loss 0.1267430099331721
epoch: 16405
Epoch 16405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16405With loss 0.1267430099331721
epoch: 16406
Epoch 16406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16406With loss 0.1267430099331721
epoch: 16407
Epoch 16407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16407With loss 0.1267430099331721
epoch: 16408
Epoch 16408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16408With loss 0.1267430099331721
epoch: 16409
Epoch 16409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16409With loss 0.1267430099331721
epoch: 16410
Epoch 16410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16410With loss 0.1267430099331721
epoch: 16411
Epoch 16411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16411With loss 0.1267430099331721
epoch: 16412
Epoch 16412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16412With loss 0.1267430099331721
epoch: 16413
Epoch 16413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16413With loss 0.1267430099331721
epoch: 16414
Epoch 16414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16414With loss 0.1267430099331721
epoch: 16415
Epoch 16415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16415With loss 0.1267430099331721
epoch: 16416
Epoch 16416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16416With loss 0.1267430099331721
epoch: 16417
Epoch 16417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16417With loss 0.1267430099331721
epoch: 16418
Epoch 16418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16418With loss 0.1267430099331721
epoch: 16419
Epoch 16419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16419With loss 0.1267430099331721
epoch: 16420
Epoch 16420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16420With loss 0.1267430099331721
epoch: 16421
Epoch 16421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16421With loss 0.1267430099331721
epoch: 16422
Epoch 16422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16422With loss 0.1267430099331721
epoch: 16423
Epoch 16423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16423With loss 0.1267430099331721
epoch: 16424
Epoch 16424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16424With loss 0.1267430099331721
epoch: 16425
Epoch 16425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16425With loss 0.1267430099331721
epoch: 16426
Epoch 16426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16426With loss 0.1267430099331721
epoch: 16427
Epoch 16427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16427With loss 0.1267430099331721
epoch: 16428
Epoch 16428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16428With loss 0.1267430099331721
epoch: 16429
Epoch 16429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16429With loss 0.1267430099331721
epoch: 16430
Epoch 16430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16430With loss 0.1267430099331721
epoch: 16431
Epoch 16431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16431With loss 0.1267430099331721
epoch: 16432
Epoch 16432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16432With loss 0.1267430099331721
epoch: 16433
Epoch 16433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16433With loss 0.1267430099331721
epoch: 16434
Epoch 16434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16434With loss 0.1267430099331721
epoch: 16435
Epoch 16435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16435With loss 0.1267430099331721
epoch: 16436
Epoch 16436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16436With loss 0.1267430099331721
epoch: 16437
Epoch 16437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16437With loss 0.1267430099331721
epoch: 16438
Epoch 16438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16438With loss 0.1267430099331721
epoch: 16439
Epoch 16439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16439With loss 0.1267430099331721
epoch: 16440
Epoch 16440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16440With loss 0.1267430099331721
epoch: 16441
Epoch 16441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16441With loss 0.1267430099331721
epoch: 16442
Epoch 16442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16442With loss 0.1267430099331721
epoch: 16443
Epoch 16443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16443With loss 0.1267430099331721
epoch: 16444
Epoch 16444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16444With loss 0.1267430099331721
epoch: 16445
Epoch 16445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16445With loss 0.1267430099331721
epoch: 16446
Epoch 16446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16446With loss 0.1267430099331721
epoch: 16447
Epoch 16447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16447With loss 0.1267430099331721
epoch: 16448
Epoch 16448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16448With loss 0.1267430099331721
epoch: 16449
Epoch 16449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16449With loss 0.1267430099331721
epoch: 16450
Epoch 16450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16450With loss 0.1267430099331721
epoch: 16451
Epoch 16451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16451With loss 0.1267430099331721
epoch: 16452
Epoch 16452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16452With loss 0.1267430099331721
epoch: 16453
Epoch 16453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16453With loss 0.1267430099331721
epoch: 16454
Epoch 16454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16454With loss 0.1267430099331721
epoch: 16455
Epoch 16455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16455With loss 0.1267430099331721
epoch: 16456
Epoch 16456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16456With loss 0.1267430099331721
epoch: 16457
Epoch 16457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16457With loss 0.1267430099331721
epoch: 16458
Epoch 16458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16458With loss 0.1267430099331721
epoch: 16459
Epoch 16459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16459With loss 0.1267430099331721
epoch: 16460
Epoch 16460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16460With loss 0.1267430099331721
epoch: 16461
Epoch 16461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16461With loss 0.1267430099331721
epoch: 16462
Epoch 16462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16462With loss 0.1267430099331721
epoch: 16463
Epoch 16463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16463With loss 0.1267430099331721
epoch: 16464
Epoch 16464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16464With loss 0.1267430099331721
epoch: 16465
Epoch 16465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16465With loss 0.1267430099331721
epoch: 16466
Epoch 16466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16466With loss 0.1267430099331721
epoch: 16467
Epoch 16467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16467With loss 0.1267430099331721
epoch: 16468
Epoch 16468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16468With loss 0.1267430099331721
epoch: 16469
Epoch 16469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16469With loss 0.1267430099331721
epoch: 16470
Epoch 16470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16470With loss 0.1267430099331721
epoch: 16471
Epoch 16471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16471With loss 0.1267430099331721
epoch: 16472
Epoch 16472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16472With loss 0.1267430099331721
epoch: 16473
Epoch 16473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16473With loss 0.1267430099331721
epoch: 16474
Epoch 16474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16474With loss 0.1267430099331721
epoch: 16475
Epoch 16475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16475With loss 0.1267430099331721
epoch: 16476
Epoch 16476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16476With loss 0.1267430099331721
epoch: 16477
Epoch 16477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16477With loss 0.1267430099331721
epoch: 16478
Epoch 16478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16478With loss 0.1267430099331721
epoch: 16479
Epoch 16479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16479With loss 0.1267430099331721
epoch: 16480
Epoch 16480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16480With loss 0.1267430099331721
epoch: 16481
Epoch 16481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16481With loss 0.1267430099331721
epoch: 16482
Epoch 16482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16482With loss 0.1267430099331721
epoch: 16483
Epoch 16483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16483With loss 0.1267430099331721
epoch: 16484
Epoch 16484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16484With loss 0.1267430099331721
epoch: 16485
Epoch 16485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16485With loss 0.1267430099331721
epoch: 16486
Epoch 16486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16486With loss 0.1267430099331721
epoch: 16487
Epoch 16487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16487With loss 0.1267430099331721
epoch: 16488
Epoch 16488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16488With loss 0.1267430099331721
epoch: 16489
Epoch 16489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16489With loss 0.1267430099331721
epoch: 16490
Epoch 16490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16490With loss 0.1267430099331721
epoch: 16491
Epoch 16491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16491With loss 0.1267430099331721
epoch: 16492
Epoch 16492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16492With loss 0.1267430099331721
epoch: 16493
Epoch 16493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16493With loss 0.1267430099331721
epoch: 16494
Epoch 16494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16494With loss 0.1267430099331721
epoch: 16495
Epoch 16495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16495With loss 0.1267430099331721
epoch: 16496
Epoch 16496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16496With loss 0.1267430099331721
epoch: 16497
Epoch 16497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16497With loss 0.1267430099331721
epoch: 16498
Epoch 16498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16498With loss 0.1267430099331721
epoch: 16499
Epoch 16499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16499With loss 0.1267430099331721
epoch: 16500
Epoch 16500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16500With loss 0.1267430099331721
epoch: 16501
Epoch 16501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16501With loss 0.1267430099331721
epoch: 16502
Epoch 16502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16502With loss 0.1267430099331721
epoch: 16503
Epoch 16503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16503With loss 0.1267430099331721
epoch: 16504
Epoch 16504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16504With loss 0.1267430099331721
epoch: 16505
Epoch 16505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16505With loss 0.1267430099331721
epoch: 16506
Epoch 16506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16506With loss 0.1267430099331721
epoch: 16507
Epoch 16507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16507With loss 0.1267430099331721
epoch: 16508
Epoch 16508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16508With loss 0.1267430099331721
epoch: 16509
Epoch 16509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16509With loss 0.1267430099331721
epoch: 16510
Epoch 16510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16510With loss 0.1267430099331721
epoch: 16511
Epoch 16511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16511With loss 0.1267430099331721
epoch: 16512
Epoch 16512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16512With loss 0.1267430099331721
epoch: 16513
Epoch 16513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16513With loss 0.1267430099331721
epoch: 16514
Epoch 16514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16514With loss 0.1267430099331721
epoch: 16515
Epoch 16515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16515With loss 0.1267430099331721
epoch: 16516
Epoch 16516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16516With loss 0.1267430099331721
epoch: 16517
Epoch 16517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16517With loss 0.1267430099331721
epoch: 16518
Epoch 16518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16518With loss 0.1267430099331721
epoch: 16519
Epoch 16519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16519With loss 0.1267430099331721
epoch: 16520
Epoch 16520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16520With loss 0.1267430099331721
epoch: 16521
Epoch 16521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16521With loss 0.1267430099331721
epoch: 16522
Epoch 16522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16522With loss 0.1267430099331721
epoch: 16523
Epoch 16523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16523With loss 0.1267430099331721
epoch: 16524
Epoch 16524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16524With loss 0.1267430099331721
epoch: 16525
Epoch 16525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16525With loss 0.1267430099331721
epoch: 16526
Epoch 16526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16526With loss 0.1267430099331721
epoch: 16527
Epoch 16527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16527With loss 0.1267430099331721
epoch: 16528
Epoch 16528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16528With loss 0.1267430099331721
epoch: 16529
Epoch 16529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16529With loss 0.1267430099331721
epoch: 16530
Epoch 16530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16530With loss 0.1267430099331721
epoch: 16531
Epoch 16531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16531With loss 0.1267430099331721
epoch: 16532
Epoch 16532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16532With loss 0.1267430099331721
epoch: 16533
Epoch 16533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16533With loss 0.1267430099331721
epoch: 16534
Epoch 16534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16534With loss 0.1267430099331721
epoch: 16535
Epoch 16535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16535With loss 0.1267430099331721
epoch: 16536
Epoch 16536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16536With loss 0.1267430099331721
epoch: 16537
Epoch 16537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16537With loss 0.1267430099331721
epoch: 16538
Epoch 16538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16538With loss 0.1267430099331721
epoch: 16539
Epoch 16539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16539With loss 0.1267430099331721
epoch: 16540
Epoch 16540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16540With loss 0.1267430099331721
epoch: 16541
Epoch 16541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16541With loss 0.1267430099331721
epoch: 16542
Epoch 16542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16542With loss 0.1267430099331721
epoch: 16543
Epoch 16543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16543With loss 0.1267430099331721
epoch: 16544
Epoch 16544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16544With loss 0.1267430099331721
epoch: 16545
Epoch 16545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16545With loss 0.1267430099331721
epoch: 16546
Epoch 16546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16546With loss 0.1267430099331721
epoch: 16547
Epoch 16547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16547With loss 0.1267430099331721
epoch: 16548
Epoch 16548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16548With loss 0.1267430099331721
epoch: 16549
Epoch 16549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16549With loss 0.1267430099331721
epoch: 16550
Epoch 16550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16550With loss 0.1267430099331721
epoch: 16551
Epoch 16551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16551With loss 0.1267430099331721
epoch: 16552
Epoch 16552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16552With loss 0.1267430099331721
epoch: 16553
Epoch 16553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16553With loss 0.1267430099331721
epoch: 16554
Epoch 16554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16554With loss 0.1267430099331721
epoch: 16555
Epoch 16555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16555With loss 0.1267430099331721
epoch: 16556
Epoch 16556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16556With loss 0.1267430099331721
epoch: 16557
Epoch 16557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16557With loss 0.1267430099331721
epoch: 16558
Epoch 16558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16558With loss 0.1267430099331721
epoch: 16559
Epoch 16559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16559With loss 0.1267430099331721
epoch: 16560
Epoch 16560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16560With loss 0.1267430099331721
epoch: 16561
Epoch 16561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16561With loss 0.1267430099331721
epoch: 16562
Epoch 16562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16562With loss 0.1267430099331721
epoch: 16563
Epoch 16563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16563With loss 0.1267430099331721
epoch: 16564
Epoch 16564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16564With loss 0.1267430099331721
epoch: 16565
Epoch 16565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16565With loss 0.1267430099331721
epoch: 16566
Epoch 16566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16566With loss 0.1267430099331721
epoch: 16567
Epoch 16567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16567With loss 0.1267430099331721
epoch: 16568
Epoch 16568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16568With loss 0.1267430099331721
epoch: 16569
Epoch 16569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16569With loss 0.1267430099331721
epoch: 16570
Epoch 16570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16570With loss 0.1267430099331721
epoch: 16571
Epoch 16571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16571With loss 0.1267430099331721
epoch: 16572
Epoch 16572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16572With loss 0.1267430099331721
epoch: 16573
Epoch 16573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16573With loss 0.1267430099331721
epoch: 16574
Epoch 16574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16574With loss 0.1267430099331721
epoch: 16575
Epoch 16575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16575With loss 0.1267430099331721
epoch: 16576
Epoch 16576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16576With loss 0.1267430099331721
epoch: 16577
Epoch 16577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16577With loss 0.1267430099331721
epoch: 16578
Epoch 16578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16578With loss 0.1267430099331721
epoch: 16579
Epoch 16579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16579With loss 0.1267430099331721
epoch: 16580
Epoch 16580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16580With loss 0.1267430099331721
epoch: 16581
Epoch 16581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16581With loss 0.1267430099331721
epoch: 16582
Epoch 16582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16582With loss 0.1267430099331721
epoch: 16583
Epoch 16583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16583With loss 0.1267430099331721
epoch: 16584
Epoch 16584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16584With loss 0.1267430099331721
epoch: 16585
Epoch 16585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16585With loss 0.1267430099331721
epoch: 16586
Epoch 16586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16586With loss 0.1267430099331721
epoch: 16587
Epoch 16587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16587With loss 0.1267430099331721
epoch: 16588
Epoch 16588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16588With loss 0.1267430099331721
epoch: 16589
Epoch 16589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16589With loss 0.1267430099331721
epoch: 16590
Epoch 16590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16590With loss 0.1267430099331721
epoch: 16591
Epoch 16591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16591With loss 0.1267430099331721
epoch: 16592
Epoch 16592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16592With loss 0.1267430099331721
epoch: 16593
Epoch 16593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16593With loss 0.1267430099331721
epoch: 16594
Epoch 16594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16594With loss 0.1267430099331721
epoch: 16595
Epoch 16595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16595With loss 0.1267430099331721
epoch: 16596
Epoch 16596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16596With loss 0.1267430099331721
epoch: 16597
Epoch 16597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16597With loss 0.1267430099331721
epoch: 16598
Epoch 16598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16598With loss 0.1267430099331721
epoch: 16599
Epoch 16599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16599With loss 0.1267430099331721
epoch: 16600
Epoch 16600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16600With loss 0.1267430099331721
epoch: 16601
Epoch 16601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16601With loss 0.1267430099331721
epoch: 16602
Epoch 16602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16602With loss 0.1267430099331721
epoch: 16603
Epoch 16603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16603With loss 0.1267430099331721
epoch: 16604
Epoch 16604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16604With loss 0.1267430099331721
epoch: 16605
Epoch 16605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16605With loss 0.1267430099331721
epoch: 16606
Epoch 16606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16606With loss 0.1267430099331721
epoch: 16607
Epoch 16607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16607With loss 0.1267430099331721
epoch: 16608
Epoch 16608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16608With loss 0.1267430099331721
epoch: 16609
Epoch 16609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16609With loss 0.1267430099331721
epoch: 16610
Epoch 16610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16610With loss 0.1267430099331721
epoch: 16611
Epoch 16611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16611With loss 0.1267430099331721
epoch: 16612
Epoch 16612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16612With loss 0.1267430099331721
epoch: 16613
Epoch 16613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16613With loss 0.1267430099331721
epoch: 16614
Epoch 16614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16614With loss 0.1267430099331721
epoch: 16615
Epoch 16615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16615With loss 0.1267430099331721
epoch: 16616
Epoch 16616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16616With loss 0.1267430099331721
epoch: 16617
Epoch 16617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16617With loss 0.1267430099331721
epoch: 16618
Epoch 16618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16618With loss 0.1267430099331721
epoch: 16619
Epoch 16619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16619With loss 0.1267430099331721
epoch: 16620
Epoch 16620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16620With loss 0.1267430099331721
epoch: 16621
Epoch 16621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16621With loss 0.1267430099331721
epoch: 16622
Epoch 16622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16622With loss 0.1267430099331721
epoch: 16623
Epoch 16623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16623With loss 0.1267430099331721
epoch: 16624
Epoch 16624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16624With loss 0.1267430099331721
epoch: 16625
Epoch 16625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16625With loss 0.1267430099331721
epoch: 16626
Epoch 16626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16626With loss 0.1267430099331721
epoch: 16627
Epoch 16627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16627With loss 0.1267430099331721
epoch: 16628
Epoch 16628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16628With loss 0.1267430099331721
epoch: 16629
Epoch 16629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16629With loss 0.1267430099331721
epoch: 16630
Epoch 16630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16630With loss 0.1267430099331721
epoch: 16631
Epoch 16631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16631With loss 0.1267430099331721
epoch: 16632
Epoch 16632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16632With loss 0.1267430099331721
epoch: 16633
Epoch 16633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16633With loss 0.1267430099331721
epoch: 16634
Epoch 16634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16634With loss 0.1267430099331721
epoch: 16635
Epoch 16635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16635With loss 0.1267430099331721
epoch: 16636
Epoch 16636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16636With loss 0.1267430099331721
epoch: 16637
Epoch 16637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16637With loss 0.1267430099331721
epoch: 16638
Epoch 16638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16638With loss 0.1267430099331721
epoch: 16639
Epoch 16639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16639With loss 0.1267430099331721
epoch: 16640
Epoch 16640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16640With loss 0.1267430099331721
epoch: 16641
Epoch 16641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16641With loss 0.1267430099331721
epoch: 16642
Epoch 16642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16642With loss 0.1267430099331721
epoch: 16643
Epoch 16643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16643With loss 0.1267430099331721
epoch: 16644
Epoch 16644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16644With loss 0.1267430099331721
epoch: 16645
Epoch 16645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16645With loss 0.1267430099331721
epoch: 16646
Epoch 16646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16646With loss 0.1267430099331721
epoch: 16647
Epoch 16647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16647With loss 0.1267430099331721
epoch: 16648
Epoch 16648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16648With loss 0.1267430099331721
epoch: 16649
Epoch 16649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16649With loss 0.1267430099331721
epoch: 16650
Epoch 16650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16650With loss 0.1267430099331721
epoch: 16651
Epoch 16651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16651With loss 0.1267430099331721
epoch: 16652
Epoch 16652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16652With loss 0.1267430099331721
epoch: 16653
Epoch 16653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16653With loss 0.1267430099331721
epoch: 16654
Epoch 16654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16654With loss 0.1267430099331721
epoch: 16655
Epoch 16655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16655With loss 0.1267430099331721
epoch: 16656
Epoch 16656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16656With loss 0.1267430099331721
epoch: 16657
Epoch 16657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16657With loss 0.1267430099331721
epoch: 16658
Epoch 16658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16658With loss 0.1267430099331721
epoch: 16659
Epoch 16659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16659With loss 0.1267430099331721
epoch: 16660
Epoch 16660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16660With loss 0.1267430099331721
epoch: 16661
Epoch 16661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16661With loss 0.1267430099331721
epoch: 16662
Epoch 16662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16662With loss 0.1267430099331721
epoch: 16663
Epoch 16663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16663With loss 0.1267430099331721
epoch: 16664
Epoch 16664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16664With loss 0.1267430099331721
epoch: 16665
Epoch 16665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16665With loss 0.1267430099331721
epoch: 16666
Epoch 16666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16666With loss 0.1267430099331721
epoch: 16667
Epoch 16667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16667With loss 0.1267430099331721
epoch: 16668
Epoch 16668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16668With loss 0.1267430099331721
epoch: 16669
Epoch 16669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16669With loss 0.1267430099331721
epoch: 16670
Epoch 16670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16670With loss 0.1267430099331721
epoch: 16671
Epoch 16671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16671With loss 0.1267430099331721
epoch: 16672
Epoch 16672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16672With loss 0.1267430099331721
epoch: 16673
Epoch 16673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16673With loss 0.1267430099331721
epoch: 16674
Epoch 16674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16674With loss 0.1267430099331721
epoch: 16675
Epoch 16675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16675With loss 0.1267430099331721
epoch: 16676
Epoch 16676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16676With loss 0.1267430099331721
epoch: 16677
Epoch 16677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16677With loss 0.1267430099331721
epoch: 16678
Epoch 16678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16678With loss 0.1267430099331721
epoch: 16679
Epoch 16679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16679With loss 0.1267430099331721
epoch: 16680
Epoch 16680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16680With loss 0.1267430099331721
epoch: 16681
Epoch 16681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16681With loss 0.1267430099331721
epoch: 16682
Epoch 16682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16682With loss 0.1267430099331721
epoch: 16683
Epoch 16683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16683With loss 0.1267430099331721
epoch: 16684
Epoch 16684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16684With loss 0.1267430099331721
epoch: 16685
Epoch 16685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16685With loss 0.1267430099331721
epoch: 16686
Epoch 16686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16686With loss 0.1267430099331721
epoch: 16687
Epoch 16687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16687With loss 0.1267430099331721
epoch: 16688
Epoch 16688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16688With loss 0.1267430099331721
epoch: 16689
Epoch 16689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16689With loss 0.1267430099331721
epoch: 16690
Epoch 16690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16690With loss 0.1267430099331721
epoch: 16691
Epoch 16691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16691With loss 0.1267430099331721
epoch: 16692
Epoch 16692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16692With loss 0.1267430099331721
epoch: 16693
Epoch 16693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16693With loss 0.1267430099331721
epoch: 16694
Epoch 16694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16694With loss 0.1267430099331721
epoch: 16695
Epoch 16695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16695With loss 0.1267430099331721
epoch: 16696
Epoch 16696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16696With loss 0.1267430099331721
epoch: 16697
Epoch 16697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16697With loss 0.1267430099331721
epoch: 16698
Epoch 16698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16698With loss 0.1267430099331721
epoch: 16699
Epoch 16699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16699With loss 0.1267430099331721
epoch: 16700
Epoch 16700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16700With loss 0.1267430099331721
epoch: 16701
Epoch 16701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16701With loss 0.1267430099331721
epoch: 16702
Epoch 16702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16702With loss 0.1267430099331721
epoch: 16703
Epoch 16703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16703With loss 0.1267430099331721
epoch: 16704
Epoch 16704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16704With loss 0.1267430099331721
epoch: 16705
Epoch 16705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16705With loss 0.1267430099331721
epoch: 16706
Epoch 16706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16706With loss 0.1267430099331721
epoch: 16707
Epoch 16707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16707With loss 0.1267430099331721
epoch: 16708
Epoch 16708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16708With loss 0.1267430099331721
epoch: 16709
Epoch 16709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16709With loss 0.1267430099331721
epoch: 16710
Epoch 16710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16710With loss 0.1267430099331721
epoch: 16711
Epoch 16711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16711With loss 0.1267430099331721
epoch: 16712
Epoch 16712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16712With loss 0.1267430099331721
epoch: 16713
Epoch 16713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16713With loss 0.1267430099331721
epoch: 16714
Epoch 16714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16714With loss 0.1267430099331721
epoch: 16715
Epoch 16715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16715With loss 0.1267430099331721
epoch: 16716
Epoch 16716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16716With loss 0.1267430099331721
epoch: 16717
Epoch 16717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16717With loss 0.1267430099331721
epoch: 16718
Epoch 16718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16718With loss 0.1267430099331721
epoch: 16719
Epoch 16719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16719With loss 0.1267430099331721
epoch: 16720
Epoch 16720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16720With loss 0.1267430099331721
epoch: 16721
Epoch 16721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16721With loss 0.1267430099331721
epoch: 16722
Epoch 16722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16722With loss 0.1267430099331721
epoch: 16723
Epoch 16723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16723With loss 0.1267430099331721
epoch: 16724
Epoch 16724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16724With loss 0.1267430099331721
epoch: 16725
Epoch 16725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16725With loss 0.1267430099331721
epoch: 16726
Epoch 16726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16726With loss 0.1267430099331721
epoch: 16727
Epoch 16727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16727With loss 0.1267430099331721
epoch: 16728
Epoch 16728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16728With loss 0.1267430099331721
epoch: 16729
Epoch 16729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16729With loss 0.1267430099331721
epoch: 16730
Epoch 16730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16730With loss 0.1267430099331721
epoch: 16731
Epoch 16731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16731With loss 0.1267430099331721
epoch: 16732
Epoch 16732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16732With loss 0.1267430099331721
epoch: 16733
Epoch 16733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16733With loss 0.1267430099331721
epoch: 16734
Epoch 16734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16734With loss 0.1267430099331721
epoch: 16735
Epoch 16735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16735With loss 0.1267430099331721
epoch: 16736
Epoch 16736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16736With loss 0.1267430099331721
epoch: 16737
Epoch 16737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16737With loss 0.1267430099331721
epoch: 16738
Epoch 16738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16738With loss 0.1267430099331721
epoch: 16739
Epoch 16739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16739With loss 0.1267430099331721
epoch: 16740
Epoch 16740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16740With loss 0.1267430099331721
epoch: 16741
Epoch 16741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16741With loss 0.1267430099331721
epoch: 16742
Epoch 16742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16742With loss 0.1267430099331721
epoch: 16743
Epoch 16743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16743With loss 0.1267430099331721
epoch: 16744
Epoch 16744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16744With loss 0.1267430099331721
epoch: 16745
Epoch 16745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16745With loss 0.1267430099331721
epoch: 16746
Epoch 16746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16746With loss 0.1267430099331721
epoch: 16747
Epoch 16747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16747With loss 0.1267430099331721
epoch: 16748
Epoch 16748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16748With loss 0.1267430099331721
epoch: 16749
Epoch 16749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16749With loss 0.1267430099331721
epoch: 16750
Epoch 16750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16750With loss 0.1267430099331721
epoch: 16751
Epoch 16751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16751With loss 0.1267430099331721
epoch: 16752
Epoch 16752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16752With loss 0.1267430099331721
epoch: 16753
Epoch 16753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16753With loss 0.1267430099331721
epoch: 16754
Epoch 16754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16754With loss 0.1267430099331721
epoch: 16755
Epoch 16755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16755With loss 0.1267430099331721
epoch: 16756
Epoch 16756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16756With loss 0.1267430099331721
epoch: 16757
Epoch 16757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16757With loss 0.1267430099331721
epoch: 16758
Epoch 16758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16758With loss 0.1267430099331721
epoch: 16759
Epoch 16759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16759With loss 0.1267430099331721
epoch: 16760
Epoch 16760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16760With loss 0.1267430099331721
epoch: 16761
Epoch 16761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16761With loss 0.1267430099331721
epoch: 16762
Epoch 16762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16762With loss 0.1267430099331721
epoch: 16763
Epoch 16763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16763With loss 0.1267430099331721
epoch: 16764
Epoch 16764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16764With loss 0.1267430099331721
epoch: 16765
Epoch 16765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16765With loss 0.1267430099331721
epoch: 16766
Epoch 16766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16766With loss 0.1267430099331721
epoch: 16767
Epoch 16767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16767With loss 0.1267430099331721
epoch: 16768
Epoch 16768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16768With loss 0.1267430099331721
epoch: 16769
Epoch 16769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16769With loss 0.1267430099331721
epoch: 16770
Epoch 16770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16770With loss 0.1267430099331721
epoch: 16771
Epoch 16771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16771With loss 0.1267430099331721
epoch: 16772
Epoch 16772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16772With loss 0.1267430099331721
epoch: 16773
Epoch 16773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16773With loss 0.1267430099331721
epoch: 16774
Epoch 16774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16774With loss 0.1267430099331721
epoch: 16775
Epoch 16775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16775With loss 0.1267430099331721
epoch: 16776
Epoch 16776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16776With loss 0.1267430099331721
epoch: 16777
Epoch 16777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16777With loss 0.1267430099331721
epoch: 16778
Epoch 16778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16778With loss 0.1267430099331721
epoch: 16779
Epoch 16779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16779With loss 0.1267430099331721
epoch: 16780
Epoch 16780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16780With loss 0.1267430099331721
epoch: 16781
Epoch 16781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16781With loss 0.1267430099331721
epoch: 16782
Epoch 16782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16782With loss 0.1267430099331721
epoch: 16783
Epoch 16783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16783With loss 0.1267430099331721
epoch: 16784
Epoch 16784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16784With loss 0.1267430099331721
epoch: 16785
Epoch 16785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16785With loss 0.1267430099331721
epoch: 16786
Epoch 16786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16786With loss 0.1267430099331721
epoch: 16787
Epoch 16787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16787With loss 0.1267430099331721
epoch: 16788
Epoch 16788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16788With loss 0.1267430099331721
epoch: 16789
Epoch 16789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16789With loss 0.1267430099331721
epoch: 16790
Epoch 16790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16790With loss 0.1267430099331721
epoch: 16791
Epoch 16791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16791With loss 0.1267430099331721
epoch: 16792
Epoch 16792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16792With loss 0.1267430099331721
epoch: 16793
Epoch 16793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16793With loss 0.1267430099331721
epoch: 16794
Epoch 16794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16794With loss 0.1267430099331721
epoch: 16795
Epoch 16795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16795With loss 0.1267430099331721
epoch: 16796
Epoch 16796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16796With loss 0.1267430099331721
epoch: 16797
Epoch 16797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16797With loss 0.1267430099331721
epoch: 16798
Epoch 16798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16798With loss 0.1267430099331721
epoch: 16799
Epoch 16799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16799With loss 0.1267430099331721
epoch: 16800
Epoch 16800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16800With loss 0.1267430099331721
epoch: 16801
Epoch 16801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16801With loss 0.1267430099331721
epoch: 16802
Epoch 16802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16802With loss 0.1267430099331721
epoch: 16803
Epoch 16803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16803With loss 0.1267430099331721
epoch: 16804
Epoch 16804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16804With loss 0.1267430099331721
epoch: 16805
Epoch 16805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16805With loss 0.1267430099331721
epoch: 16806
Epoch 16806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16806With loss 0.1267430099331721
epoch: 16807
Epoch 16807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16807With loss 0.1267430099331721
epoch: 16808
Epoch 16808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16808With loss 0.1267430099331721
epoch: 16809
Epoch 16809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16809With loss 0.1267430099331721
epoch: 16810
Epoch 16810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16810With loss 0.1267430099331721
epoch: 16811
Epoch 16811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16811With loss 0.1267430099331721
epoch: 16812
Epoch 16812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16812With loss 0.1267430099331721
epoch: 16813
Epoch 16813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16813With loss 0.1267430099331721
epoch: 16814
Epoch 16814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16814With loss 0.1267430099331721
epoch: 16815
Epoch 16815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16815With loss 0.1267430099331721
epoch: 16816
Epoch 16816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16816With loss 0.1267430099331721
epoch: 16817
Epoch 16817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16817With loss 0.1267430099331721
epoch: 16818
Epoch 16818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16818With loss 0.1267430099331721
epoch: 16819
Epoch 16819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16819With loss 0.1267430099331721
epoch: 16820
Epoch 16820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16820With loss 0.1267430099331721
epoch: 16821
Epoch 16821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16821With loss 0.1267430099331721
epoch: 16822
Epoch 16822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16822With loss 0.1267430099331721
epoch: 16823
Epoch 16823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16823With loss 0.1267430099331721
epoch: 16824
Epoch 16824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16824With loss 0.1267430099331721
epoch: 16825
Epoch 16825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16825With loss 0.1267430099331721
epoch: 16826
Epoch 16826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16826With loss 0.1267430099331721
epoch: 16827
Epoch 16827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16827With loss 0.1267430099331721
epoch: 16828
Epoch 16828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16828With loss 0.1267430099331721
epoch: 16829
Epoch 16829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16829With loss 0.1267430099331721
epoch: 16830
Epoch 16830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16830With loss 0.1267430099331721
epoch: 16831
Epoch 16831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16831With loss 0.1267430099331721
epoch: 16832
Epoch 16832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16832With loss 0.1267430099331721
epoch: 16833
Epoch 16833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16833With loss 0.1267430099331721
epoch: 16834
Epoch 16834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16834With loss 0.1267430099331721
epoch: 16835
Epoch 16835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16835With loss 0.1267430099331721
epoch: 16836
Epoch 16836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16836With loss 0.1267430099331721
epoch: 16837
Epoch 16837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16837With loss 0.1267430099331721
epoch: 16838
Epoch 16838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16838With loss 0.1267430099331721
epoch: 16839
Epoch 16839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16839With loss 0.1267430099331721
epoch: 16840
Epoch 16840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16840With loss 0.1267430099331721
epoch: 16841
Epoch 16841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16841With loss 0.1267430099331721
epoch: 16842
Epoch 16842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16842With loss 0.1267430099331721
epoch: 16843
Epoch 16843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16843With loss 0.1267430099331721
epoch: 16844
Epoch 16844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16844With loss 0.1267430099331721
epoch: 16845
Epoch 16845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16845With loss 0.1267430099331721
epoch: 16846
Epoch 16846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16846With loss 0.1267430099331721
epoch: 16847
Epoch 16847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16847With loss 0.1267430099331721
epoch: 16848
Epoch 16848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16848With loss 0.1267430099331721
epoch: 16849
Epoch 16849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16849With loss 0.1267430099331721
epoch: 16850
Epoch 16850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16850With loss 0.1267430099331721
epoch: 16851
Epoch 16851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16851With loss 0.1267430099331721
epoch: 16852
Epoch 16852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16852With loss 0.1267430099331721
epoch: 16853
Epoch 16853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16853With loss 0.1267430099331721
epoch: 16854
Epoch 16854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16854With loss 0.1267430099331721
epoch: 16855
Epoch 16855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16855With loss 0.1267430099331721
epoch: 16856
Epoch 16856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16856With loss 0.1267430099331721
epoch: 16857
Epoch 16857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16857With loss 0.1267430099331721
epoch: 16858
Epoch 16858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16858With loss 0.1267430099331721
epoch: 16859
Epoch 16859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16859With loss 0.1267430099331721
epoch: 16860
Epoch 16860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16860With loss 0.1267430099331721
epoch: 16861
Epoch 16861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16861With loss 0.1267430099331721
epoch: 16862
Epoch 16862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16862With loss 0.1267430099331721
epoch: 16863
Epoch 16863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16863With loss 0.1267430099331721
epoch: 16864
Epoch 16864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16864With loss 0.1267430099331721
epoch: 16865
Epoch 16865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16865With loss 0.1267430099331721
epoch: 16866
Epoch 16866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16866With loss 0.1267430099331721
epoch: 16867
Epoch 16867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16867With loss 0.1267430099331721
epoch: 16868
Epoch 16868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16868With loss 0.1267430099331721
epoch: 16869
Epoch 16869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16869With loss 0.1267430099331721
epoch: 16870
Epoch 16870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16870With loss 0.1267430099331721
epoch: 16871
Epoch 16871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16871With loss 0.1267430099331721
epoch: 16872
Epoch 16872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16872With loss 0.1267430099331721
epoch: 16873
Epoch 16873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16873With loss 0.1267430099331721
epoch: 16874
Epoch 16874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16874With loss 0.1267430099331721
epoch: 16875
Epoch 16875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16875With loss 0.1267430099331721
epoch: 16876
Epoch 16876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16876With loss 0.1267430099331721
epoch: 16877
Epoch 16877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16877With loss 0.1267430099331721
epoch: 16878
Epoch 16878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16878With loss 0.1267430099331721
epoch: 16879
Epoch 16879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16879With loss 0.1267430099331721
epoch: 16880
Epoch 16880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16880With loss 0.1267430099331721
epoch: 16881
Epoch 16881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16881With loss 0.1267430099331721
epoch: 16882
Epoch 16882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16882With loss 0.1267430099331721
epoch: 16883
Epoch 16883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16883With loss 0.1267430099331721
epoch: 16884
Epoch 16884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16884With loss 0.1267430099331721
epoch: 16885
Epoch 16885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16885With loss 0.1267430099331721
epoch: 16886
Epoch 16886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16886With loss 0.1267430099331721
epoch: 16887
Epoch 16887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16887With loss 0.1267430099331721
epoch: 16888
Epoch 16888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16888With loss 0.1267430099331721
epoch: 16889
Epoch 16889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16889With loss 0.1267430099331721
epoch: 16890
Epoch 16890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16890With loss 0.1267430099331721
epoch: 16891
Epoch 16891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16891With loss 0.1267430099331721
epoch: 16892
Epoch 16892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16892With loss 0.1267430099331721
epoch: 16893
Epoch 16893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16893With loss 0.1267430099331721
epoch: 16894
Epoch 16894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16894With loss 0.1267430099331721
epoch: 16895
Epoch 16895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16895With loss 0.1267430099331721
epoch: 16896
Epoch 16896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16896With loss 0.1267430099331721
epoch: 16897
Epoch 16897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16897With loss 0.1267430099331721
epoch: 16898
Epoch 16898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16898With loss 0.1267430099331721
epoch: 16899
Epoch 16899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16899With loss 0.1267430099331721
epoch: 16900
Epoch 16900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16900With loss 0.1267430099331721
epoch: 16901
Epoch 16901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16901With loss 0.1267430099331721
epoch: 16902
Epoch 16902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16902With loss 0.1267430099331721
epoch: 16903
Epoch 16903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16903With loss 0.1267430099331721
epoch: 16904
Epoch 16904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16904With loss 0.1267430099331721
epoch: 16905
Epoch 16905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16905With loss 0.1267430099331721
epoch: 16906
Epoch 16906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16906With loss 0.1267430099331721
epoch: 16907
Epoch 16907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16907With loss 0.1267430099331721
epoch: 16908
Epoch 16908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16908With loss 0.1267430099331721
epoch: 16909
Epoch 16909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16909With loss 0.1267430099331721
epoch: 16910
Epoch 16910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16910With loss 0.1267430099331721
epoch: 16911
Epoch 16911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16911With loss 0.1267430099331721
epoch: 16912
Epoch 16912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16912With loss 0.1267430099331721
epoch: 16913
Epoch 16913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16913With loss 0.1267430099331721
epoch: 16914
Epoch 16914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16914With loss 0.1267430099331721
epoch: 16915
Epoch 16915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16915With loss 0.1267430099331721
epoch: 16916
Epoch 16916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16916With loss 0.1267430099331721
epoch: 16917
Epoch 16917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16917With loss 0.1267430099331721
epoch: 16918
Epoch 16918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16918With loss 0.1267430099331721
epoch: 16919
Epoch 16919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16919With loss 0.1267430099331721
epoch: 16920
Epoch 16920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16920With loss 0.1267430099331721
epoch: 16921
Epoch 16921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16921With loss 0.1267430099331721
epoch: 16922
Epoch 16922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16922With loss 0.1267430099331721
epoch: 16923
Epoch 16923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16923With loss 0.1267430099331721
epoch: 16924
Epoch 16924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16924With loss 0.1267430099331721
epoch: 16925
Epoch 16925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16925With loss 0.1267430099331721
epoch: 16926
Epoch 16926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16926With loss 0.1267430099331721
epoch: 16927
Epoch 16927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16927With loss 0.1267430099331721
epoch: 16928
Epoch 16928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16928With loss 0.1267430099331721
epoch: 16929
Epoch 16929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16929With loss 0.1267430099331721
epoch: 16930
Epoch 16930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16930With loss 0.1267430099331721
epoch: 16931
Epoch 16931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16931With loss 0.1267430099331721
epoch: 16932
Epoch 16932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16932With loss 0.1267430099331721
epoch: 16933
Epoch 16933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16933With loss 0.1267430099331721
epoch: 16934
Epoch 16934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16934With loss 0.1267430099331721
epoch: 16935
Epoch 16935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16935With loss 0.1267430099331721
epoch: 16936
Epoch 16936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16936With loss 0.1267430099331721
epoch: 16937
Epoch 16937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16937With loss 0.1267430099331721
epoch: 16938
Epoch 16938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16938With loss 0.1267430099331721
epoch: 16939
Epoch 16939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16939With loss 0.1267430099331721
epoch: 16940
Epoch 16940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16940With loss 0.1267430099331721
epoch: 16941
Epoch 16941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16941With loss 0.1267430099331721
epoch: 16942
Epoch 16942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16942With loss 0.1267430099331721
epoch: 16943
Epoch 16943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16943With loss 0.1267430099331721
epoch: 16944
Epoch 16944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16944With loss 0.1267430099331721
epoch: 16945
Epoch 16945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16945With loss 0.1267430099331721
epoch: 16946
Epoch 16946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16946With loss 0.1267430099331721
epoch: 16947
Epoch 16947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16947With loss 0.1267430099331721
epoch: 16948
Epoch 16948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16948With loss 0.1267430099331721
epoch: 16949
Epoch 16949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16949With loss 0.1267430099331721
epoch: 16950
Epoch 16950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16950With loss 0.1267430099331721
epoch: 16951
Epoch 16951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16951With loss 0.1267430099331721
epoch: 16952
Epoch 16952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16952With loss 0.1267430099331721
epoch: 16953
Epoch 16953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16953With loss 0.1267430099331721
epoch: 16954
Epoch 16954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16954With loss 0.1267430099331721
epoch: 16955
Epoch 16955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16955With loss 0.1267430099331721
epoch: 16956
Epoch 16956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16956With loss 0.1267430099331721
epoch: 16957
Epoch 16957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16957With loss 0.1267430099331721
epoch: 16958
Epoch 16958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16958With loss 0.1267430099331721
epoch: 16959
Epoch 16959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16959With loss 0.1267430099331721
epoch: 16960
Epoch 16960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16960With loss 0.1267430099331721
epoch: 16961
Epoch 16961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16961With loss 0.1267430099331721
epoch: 16962
Epoch 16962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16962With loss 0.1267430099331721
epoch: 16963
Epoch 16963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16963With loss 0.1267430099331721
epoch: 16964
Epoch 16964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16964With loss 0.1267430099331721
epoch: 16965
Epoch 16965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16965With loss 0.1267430099331721
epoch: 16966
Epoch 16966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16966With loss 0.1267430099331721
epoch: 16967
Epoch 16967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16967With loss 0.1267430099331721
epoch: 16968
Epoch 16968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16968With loss 0.1267430099331721
epoch: 16969
Epoch 16969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16969With loss 0.1267430099331721
epoch: 16970
Epoch 16970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16970With loss 0.1267430099331721
epoch: 16971
Epoch 16971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16971With loss 0.1267430099331721
epoch: 16972
Epoch 16972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16972With loss 0.1267430099331721
epoch: 16973
Epoch 16973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16973With loss 0.1267430099331721
epoch: 16974
Epoch 16974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16974With loss 0.1267430099331721
epoch: 16975
Epoch 16975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16975With loss 0.1267430099331721
epoch: 16976
Epoch 16976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16976With loss 0.1267430099331721
epoch: 16977
Epoch 16977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16977With loss 0.1267430099331721
epoch: 16978
Epoch 16978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16978With loss 0.1267430099331721
epoch: 16979
Epoch 16979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16979With loss 0.1267430099331721
epoch: 16980
Epoch 16980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16980With loss 0.1267430099331721
epoch: 16981
Epoch 16981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16981With loss 0.1267430099331721
epoch: 16982
Epoch 16982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16982With loss 0.1267430099331721
epoch: 16983
Epoch 16983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16983With loss 0.1267430099331721
epoch: 16984
Epoch 16984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16984With loss 0.1267430099331721
epoch: 16985
Epoch 16985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16985With loss 0.1267430099331721
epoch: 16986
Epoch 16986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16986With loss 0.1267430099331721
epoch: 16987
Epoch 16987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16987With loss 0.1267430099331721
epoch: 16988
Epoch 16988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16988With loss 0.1267430099331721
epoch: 16989
Epoch 16989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16989With loss 0.1267430099331721
epoch: 16990
Epoch 16990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16990With loss 0.1267430099331721
epoch: 16991
Epoch 16991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16991With loss 0.1267430099331721
epoch: 16992
Epoch 16992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16992With loss 0.1267430099331721
epoch: 16993
Epoch 16993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16993With loss 0.1267430099331721
epoch: 16994
Epoch 16994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16994With loss 0.1267430099331721
epoch: 16995
Epoch 16995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16995With loss 0.1267430099331721
epoch: 16996
Epoch 16996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16996With loss 0.1267430099331721
epoch: 16997
Epoch 16997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16997With loss 0.1267430099331721
epoch: 16998
Epoch 16998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16998With loss 0.1267430099331721
epoch: 16999
Epoch 16999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 16999With loss 0.1267430099331721
epoch: 17000
Epoch 17000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17000With loss 0.1267430099331721
epoch: 17001
Epoch 17001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17001With loss 0.1267430099331721
epoch: 17002
Epoch 17002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17002With loss 0.1267430099331721
epoch: 17003
Epoch 17003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17003With loss 0.1267430099331721
epoch: 17004
Epoch 17004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17004With loss 0.1267430099331721
epoch: 17005
Epoch 17005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17005With loss 0.1267430099331721
epoch: 17006
Epoch 17006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17006With loss 0.1267430099331721
epoch: 17007
Epoch 17007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17007With loss 0.1267430099331721
epoch: 17008
Epoch 17008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17008With loss 0.1267430099331721
epoch: 17009
Epoch 17009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17009With loss 0.1267430099331721
epoch: 17010
Epoch 17010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17010With loss 0.1267430099331721
epoch: 17011
Epoch 17011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17011With loss 0.1267430099331721
epoch: 17012
Epoch 17012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17012With loss 0.1267430099331721
epoch: 17013
Epoch 17013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17013With loss 0.1267430099331721
epoch: 17014
Epoch 17014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17014With loss 0.1267430099331721
epoch: 17015
Epoch 17015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17015With loss 0.1267430099331721
epoch: 17016
Epoch 17016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17016With loss 0.1267430099331721
epoch: 17017
Epoch 17017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17017With loss 0.1267430099331721
epoch: 17018
Epoch 17018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17018With loss 0.1267430099331721
epoch: 17019
Epoch 17019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17019With loss 0.1267430099331721
epoch: 17020
Epoch 17020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17020With loss 0.1267430099331721
epoch: 17021
Epoch 17021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17021With loss 0.1267430099331721
epoch: 17022
Epoch 17022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17022With loss 0.1267430099331721
epoch: 17023
Epoch 17023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17023With loss 0.1267430099331721
epoch: 17024
Epoch 17024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17024With loss 0.1267430099331721
epoch: 17025
Epoch 17025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17025With loss 0.1267430099331721
epoch: 17026
Epoch 17026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17026With loss 0.1267430099331721
epoch: 17027
Epoch 17027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17027With loss 0.1267430099331721
epoch: 17028
Epoch 17028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17028With loss 0.1267430099331721
epoch: 17029
Epoch 17029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17029With loss 0.1267430099331721
epoch: 17030
Epoch 17030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17030With loss 0.1267430099331721
epoch: 17031
Epoch 17031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17031With loss 0.1267430099331721
epoch: 17032
Epoch 17032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17032With loss 0.1267430099331721
epoch: 17033
Epoch 17033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17033With loss 0.1267430099331721
epoch: 17034
Epoch 17034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17034With loss 0.1267430099331721
epoch: 17035
Epoch 17035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17035With loss 0.1267430099331721
epoch: 17036
Epoch 17036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17036With loss 0.1267430099331721
epoch: 17037
Epoch 17037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17037With loss 0.1267430099331721
epoch: 17038
Epoch 17038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17038With loss 0.1267430099331721
epoch: 17039
Epoch 17039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17039With loss 0.1267430099331721
epoch: 17040
Epoch 17040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17040With loss 0.1267430099331721
epoch: 17041
Epoch 17041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17041With loss 0.1267430099331721
epoch: 17042
Epoch 17042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17042With loss 0.1267430099331721
epoch: 17043
Epoch 17043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17043With loss 0.1267430099331721
epoch: 17044
Epoch 17044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17044With loss 0.1267430099331721
epoch: 17045
Epoch 17045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17045With loss 0.1267430099331721
epoch: 17046
Epoch 17046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17046With loss 0.1267430099331721
epoch: 17047
Epoch 17047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17047With loss 0.1267430099331721
epoch: 17048
Epoch 17048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17048With loss 0.1267430099331721
epoch: 17049
Epoch 17049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17049With loss 0.1267430099331721
epoch: 17050
Epoch 17050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17050With loss 0.1267430099331721
epoch: 17051
Epoch 17051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17051With loss 0.1267430099331721
epoch: 17052
Epoch 17052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17052With loss 0.1267430099331721
epoch: 17053
Epoch 17053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17053With loss 0.1267430099331721
epoch: 17054
Epoch 17054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17054With loss 0.1267430099331721
epoch: 17055
Epoch 17055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17055With loss 0.1267430099331721
epoch: 17056
Epoch 17056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17056With loss 0.1267430099331721
epoch: 17057
Epoch 17057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17057With loss 0.1267430099331721
epoch: 17058
Epoch 17058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17058With loss 0.1267430099331721
epoch: 17059
Epoch 17059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17059With loss 0.1267430099331721
epoch: 17060
Epoch 17060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17060With loss 0.1267430099331721
epoch: 17061
Epoch 17061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17061With loss 0.1267430099331721
epoch: 17062
Epoch 17062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17062With loss 0.1267430099331721
epoch: 17063
Epoch 17063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17063With loss 0.1267430099331721
epoch: 17064
Epoch 17064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17064With loss 0.1267430099331721
epoch: 17065
Epoch 17065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17065With loss 0.1267430099331721
epoch: 17066
Epoch 17066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17066With loss 0.1267430099331721
epoch: 17067
Epoch 17067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17067With loss 0.1267430099331721
epoch: 17068
Epoch 17068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17068With loss 0.1267430099331721
epoch: 17069
Epoch 17069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17069With loss 0.1267430099331721
epoch: 17070
Epoch 17070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17070With loss 0.1267430099331721
epoch: 17071
Epoch 17071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17071With loss 0.1267430099331721
epoch: 17072
Epoch 17072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17072With loss 0.1267430099331721
epoch: 17073
Epoch 17073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17073With loss 0.1267430099331721
epoch: 17074
Epoch 17074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17074With loss 0.1267430099331721
epoch: 17075
Epoch 17075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17075With loss 0.1267430099331721
epoch: 17076
Epoch 17076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17076With loss 0.1267430099331721
epoch: 17077
Epoch 17077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17077With loss 0.1267430099331721
epoch: 17078
Epoch 17078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17078With loss 0.1267430099331721
epoch: 17079
Epoch 17079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17079With loss 0.1267430099331721
epoch: 17080
Epoch 17080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17080With loss 0.1267430099331721
epoch: 17081
Epoch 17081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17081With loss 0.1267430099331721
epoch: 17082
Epoch 17082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17082With loss 0.1267430099331721
epoch: 17083
Epoch 17083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17083With loss 0.1267430099331721
epoch: 17084
Epoch 17084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17084With loss 0.1267430099331721
epoch: 17085
Epoch 17085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17085With loss 0.1267430099331721
epoch: 17086
Epoch 17086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17086With loss 0.1267430099331721
epoch: 17087
Epoch 17087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17087With loss 0.1267430099331721
epoch: 17088
Epoch 17088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17088With loss 0.1267430099331721
epoch: 17089
Epoch 17089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17089With loss 0.1267430099331721
epoch: 17090
Epoch 17090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17090With loss 0.1267430099331721
epoch: 17091
Epoch 17091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17091With loss 0.1267430099331721
epoch: 17092
Epoch 17092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17092With loss 0.1267430099331721
epoch: 17093
Epoch 17093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17093With loss 0.1267430099331721
epoch: 17094
Epoch 17094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17094With loss 0.1267430099331721
epoch: 17095
Epoch 17095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17095With loss 0.1267430099331721
epoch: 17096
Epoch 17096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17096With loss 0.1267430099331721
epoch: 17097
Epoch 17097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17097With loss 0.1267430099331721
epoch: 17098
Epoch 17098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17098With loss 0.1267430099331721
epoch: 17099
Epoch 17099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17099With loss 0.1267430099331721
epoch: 17100
Epoch 17100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17100With loss 0.1267430099331721
epoch: 17101
Epoch 17101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17101With loss 0.1267430099331721
epoch: 17102
Epoch 17102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17102With loss 0.1267430099331721
epoch: 17103
Epoch 17103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17103With loss 0.1267430099331721
epoch: 17104
Epoch 17104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17104With loss 0.1267430099331721
epoch: 17105
Epoch 17105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17105With loss 0.1267430099331721
epoch: 17106
Epoch 17106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17106With loss 0.1267430099331721
epoch: 17107
Epoch 17107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17107With loss 0.1267430099331721
epoch: 17108
Epoch 17108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17108With loss 0.1267430099331721
epoch: 17109
Epoch 17109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17109With loss 0.1267430099331721
epoch: 17110
Epoch 17110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17110With loss 0.1267430099331721
epoch: 17111
Epoch 17111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17111With loss 0.1267430099331721
epoch: 17112
Epoch 17112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17112With loss 0.1267430099331721
epoch: 17113
Epoch 17113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17113With loss 0.1267430099331721
epoch: 17114
Epoch 17114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17114With loss 0.1267430099331721
epoch: 17115
Epoch 17115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17115With loss 0.1267430099331721
epoch: 17116
Epoch 17116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17116With loss 0.1267430099331721
epoch: 17117
Epoch 17117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17117With loss 0.1267430099331721
epoch: 17118
Epoch 17118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17118With loss 0.1267430099331721
epoch: 17119
Epoch 17119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17119With loss 0.1267430099331721
epoch: 17120
Epoch 17120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17120With loss 0.1267430099331721
epoch: 17121
Epoch 17121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17121With loss 0.1267430099331721
epoch: 17122
Epoch 17122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17122With loss 0.1267430099331721
epoch: 17123
Epoch 17123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17123With loss 0.1267430099331721
epoch: 17124
Epoch 17124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17124With loss 0.1267430099331721
epoch: 17125
Epoch 17125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17125With loss 0.1267430099331721
epoch: 17126
Epoch 17126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17126With loss 0.1267430099331721
epoch: 17127
Epoch 17127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17127With loss 0.1267430099331721
epoch: 17128
Epoch 17128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17128With loss 0.1267430099331721
epoch: 17129
Epoch 17129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17129With loss 0.1267430099331721
epoch: 17130
Epoch 17130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17130With loss 0.1267430099331721
epoch: 17131
Epoch 17131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17131With loss 0.1267430099331721
epoch: 17132
Epoch 17132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17132With loss 0.1267430099331721
epoch: 17133
Epoch 17133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17133With loss 0.1267430099331721
epoch: 17134
Epoch 17134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17134With loss 0.1267430099331721
epoch: 17135
Epoch 17135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17135With loss 0.1267430099331721
epoch: 17136
Epoch 17136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17136With loss 0.1267430099331721
epoch: 17137
Epoch 17137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17137With loss 0.1267430099331721
epoch: 17138
Epoch 17138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17138With loss 0.1267430099331721
epoch: 17139
Epoch 17139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17139With loss 0.1267430099331721
epoch: 17140
Epoch 17140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17140With loss 0.1267430099331721
epoch: 17141
Epoch 17141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17141With loss 0.1267430099331721
epoch: 17142
Epoch 17142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17142With loss 0.1267430099331721
epoch: 17143
Epoch 17143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17143With loss 0.1267430099331721
epoch: 17144
Epoch 17144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17144With loss 0.1267430099331721
epoch: 17145
Epoch 17145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17145With loss 0.1267430099331721
epoch: 17146
Epoch 17146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17146With loss 0.1267430099331721
epoch: 17147
Epoch 17147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17147With loss 0.1267430099331721
epoch: 17148
Epoch 17148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17148With loss 0.1267430099331721
epoch: 17149
Epoch 17149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17149With loss 0.1267430099331721
epoch: 17150
Epoch 17150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17150With loss 0.1267430099331721
epoch: 17151
Epoch 17151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17151With loss 0.1267430099331721
epoch: 17152
Epoch 17152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17152With loss 0.1267430099331721
epoch: 17153
Epoch 17153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17153With loss 0.1267430099331721
epoch: 17154
Epoch 17154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17154With loss 0.1267430099331721
epoch: 17155
Epoch 17155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17155With loss 0.1267430099331721
epoch: 17156
Epoch 17156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17156With loss 0.1267430099331721
epoch: 17157
Epoch 17157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17157With loss 0.1267430099331721
epoch: 17158
Epoch 17158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17158With loss 0.1267430099331721
epoch: 17159
Epoch 17159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17159With loss 0.1267430099331721
epoch: 17160
Epoch 17160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17160With loss 0.1267430099331721
epoch: 17161
Epoch 17161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17161With loss 0.1267430099331721
epoch: 17162
Epoch 17162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17162With loss 0.1267430099331721
epoch: 17163
Epoch 17163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17163With loss 0.1267430099331721
epoch: 17164
Epoch 17164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17164With loss 0.1267430099331721
epoch: 17165
Epoch 17165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17165With loss 0.1267430099331721
epoch: 17166
Epoch 17166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17166With loss 0.1267430099331721
epoch: 17167
Epoch 17167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17167With loss 0.1267430099331721
epoch: 17168
Epoch 17168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17168With loss 0.1267430099331721
epoch: 17169
Epoch 17169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17169With loss 0.1267430099331721
epoch: 17170
Epoch 17170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17170With loss 0.1267430099331721
epoch: 17171
Epoch 17171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17171With loss 0.1267430099331721
epoch: 17172
Epoch 17172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17172With loss 0.1267430099331721
epoch: 17173
Epoch 17173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17173With loss 0.1267430099331721
epoch: 17174
Epoch 17174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17174With loss 0.1267430099331721
epoch: 17175
Epoch 17175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17175With loss 0.1267430099331721
epoch: 17176
Epoch 17176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17176With loss 0.1267430099331721
epoch: 17177
Epoch 17177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17177With loss 0.1267430099331721
epoch: 17178
Epoch 17178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17178With loss 0.1267430099331721
epoch: 17179
Epoch 17179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17179With loss 0.1267430099331721
epoch: 17180
Epoch 17180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17180With loss 0.1267430099331721
epoch: 17181
Epoch 17181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17181With loss 0.1267430099331721
epoch: 17182
Epoch 17182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17182With loss 0.1267430099331721
epoch: 17183
Epoch 17183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17183With loss 0.1267430099331721
epoch: 17184
Epoch 17184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17184With loss 0.1267430099331721
epoch: 17185
Epoch 17185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17185With loss 0.1267430099331721
epoch: 17186
Epoch 17186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17186With loss 0.1267430099331721
epoch: 17187
Epoch 17187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17187With loss 0.1267430099331721
epoch: 17188
Epoch 17188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17188With loss 0.1267430099331721
epoch: 17189
Epoch 17189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17189With loss 0.1267430099331721
epoch: 17190
Epoch 17190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17190With loss 0.1267430099331721
epoch: 17191
Epoch 17191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17191With loss 0.1267430099331721
epoch: 17192
Epoch 17192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17192With loss 0.1267430099331721
epoch: 17193
Epoch 17193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17193With loss 0.1267430099331721
epoch: 17194
Epoch 17194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17194With loss 0.1267430099331721
epoch: 17195
Epoch 17195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17195With loss 0.1267430099331721
epoch: 17196
Epoch 17196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17196With loss 0.1267430099331721
epoch: 17197
Epoch 17197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17197With loss 0.1267430099331721
epoch: 17198
Epoch 17198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17198With loss 0.1267430099331721
epoch: 17199
Epoch 17199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17199With loss 0.1267430099331721
epoch: 17200
Epoch 17200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17200With loss 0.1267430099331721
epoch: 17201
Epoch 17201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17201With loss 0.1267430099331721
epoch: 17202
Epoch 17202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17202With loss 0.1267430099331721
epoch: 17203
Epoch 17203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17203With loss 0.1267430099331721
epoch: 17204
Epoch 17204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17204With loss 0.1267430099331721
epoch: 17205
Epoch 17205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17205With loss 0.1267430099331721
epoch: 17206
Epoch 17206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17206With loss 0.1267430099331721
epoch: 17207
Epoch 17207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17207With loss 0.1267430099331721
epoch: 17208
Epoch 17208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17208With loss 0.1267430099331721
epoch: 17209
Epoch 17209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17209With loss 0.1267430099331721
epoch: 17210
Epoch 17210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17210With loss 0.1267430099331721
epoch: 17211
Epoch 17211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17211With loss 0.1267430099331721
epoch: 17212
Epoch 17212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17212With loss 0.1267430099331721
epoch: 17213
Epoch 17213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17213With loss 0.1267430099331721
epoch: 17214
Epoch 17214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17214With loss 0.1267430099331721
epoch: 17215
Epoch 17215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17215With loss 0.1267430099331721
epoch: 17216
Epoch 17216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17216With loss 0.1267430099331721
epoch: 17217
Epoch 17217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17217With loss 0.1267430099331721
epoch: 17218
Epoch 17218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17218With loss 0.1267430099331721
epoch: 17219
Epoch 17219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17219With loss 0.1267430099331721
epoch: 17220
Epoch 17220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17220With loss 0.1267430099331721
epoch: 17221
Epoch 17221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17221With loss 0.1267430099331721
epoch: 17222
Epoch 17222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17222With loss 0.1267430099331721
epoch: 17223
Epoch 17223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17223With loss 0.1267430099331721
epoch: 17224
Epoch 17224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17224With loss 0.1267430099331721
epoch: 17225
Epoch 17225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17225With loss 0.1267430099331721
epoch: 17226
Epoch 17226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17226With loss 0.1267430099331721
epoch: 17227
Epoch 17227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17227With loss 0.1267430099331721
epoch: 17228
Epoch 17228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17228With loss 0.1267430099331721
epoch: 17229
Epoch 17229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17229With loss 0.1267430099331721
epoch: 17230
Epoch 17230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17230With loss 0.1267430099331721
epoch: 17231
Epoch 17231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17231With loss 0.1267430099331721
epoch: 17232
Epoch 17232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17232With loss 0.1267430099331721
epoch: 17233
Epoch 17233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17233With loss 0.1267430099331721
epoch: 17234
Epoch 17234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17234With loss 0.1267430099331721
epoch: 17235
Epoch 17235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17235With loss 0.1267430099331721
epoch: 17236
Epoch 17236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17236With loss 0.1267430099331721
epoch: 17237
Epoch 17237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17237With loss 0.1267430099331721
epoch: 17238
Epoch 17238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17238With loss 0.1267430099331721
epoch: 17239
Epoch 17239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17239With loss 0.1267430099331721
epoch: 17240
Epoch 17240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17240With loss 0.1267430099331721
epoch: 17241
Epoch 17241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17241With loss 0.1267430099331721
epoch: 17242
Epoch 17242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17242With loss 0.1267430099331721
epoch: 17243
Epoch 17243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17243With loss 0.1267430099331721
epoch: 17244
Epoch 17244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17244With loss 0.1267430099331721
epoch: 17245
Epoch 17245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17245With loss 0.1267430099331721
epoch: 17246
Epoch 17246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17246With loss 0.1267430099331721
epoch: 17247
Epoch 17247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17247With loss 0.1267430099331721
epoch: 17248
Epoch 17248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17248With loss 0.1267430099331721
epoch: 17249
Epoch 17249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17249With loss 0.1267430099331721
epoch: 17250
Epoch 17250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17250With loss 0.1267430099331721
epoch: 17251
Epoch 17251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17251With loss 0.1267430099331721
epoch: 17252
Epoch 17252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17252With loss 0.1267430099331721
epoch: 17253
Epoch 17253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17253With loss 0.1267430099331721
epoch: 17254
Epoch 17254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17254With loss 0.1267430099331721
epoch: 17255
Epoch 17255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17255With loss 0.1267430099331721
epoch: 17256
Epoch 17256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17256With loss 0.1267430099331721
epoch: 17257
Epoch 17257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17257With loss 0.1267430099331721
epoch: 17258
Epoch 17258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17258With loss 0.1267430099331721
epoch: 17259
Epoch 17259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17259With loss 0.1267430099331721
epoch: 17260
Epoch 17260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17260With loss 0.1267430099331721
epoch: 17261
Epoch 17261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17261With loss 0.1267430099331721
epoch: 17262
Epoch 17262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17262With loss 0.1267430099331721
epoch: 17263
Epoch 17263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17263With loss 0.1267430099331721
epoch: 17264
Epoch 17264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17264With loss 0.1267430099331721
epoch: 17265
Epoch 17265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17265With loss 0.1267430099331721
epoch: 17266
Epoch 17266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17266With loss 0.1267430099331721
epoch: 17267
Epoch 17267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17267With loss 0.1267430099331721
epoch: 17268
Epoch 17268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17268With loss 0.1267430099331721
epoch: 17269
Epoch 17269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17269With loss 0.1267430099331721
epoch: 17270
Epoch 17270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17270With loss 0.1267430099331721
epoch: 17271
Epoch 17271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17271With loss 0.1267430099331721
epoch: 17272
Epoch 17272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17272With loss 0.1267430099331721
epoch: 17273
Epoch 17273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17273With loss 0.1267430099331721
epoch: 17274
Epoch 17274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17274With loss 0.1267430099331721
epoch: 17275
Epoch 17275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17275With loss 0.1267430099331721
epoch: 17276
Epoch 17276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17276With loss 0.1267430099331721
epoch: 17277
Epoch 17277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17277With loss 0.1267430099331721
epoch: 17278
Epoch 17278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17278With loss 0.1267430099331721
epoch: 17279
Epoch 17279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17279With loss 0.1267430099331721
epoch: 17280
Epoch 17280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17280With loss 0.1267430099331721
epoch: 17281
Epoch 17281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17281With loss 0.1267430099331721
epoch: 17282
Epoch 17282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17282With loss 0.1267430099331721
epoch: 17283
Epoch 17283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17283With loss 0.1267430099331721
epoch: 17284
Epoch 17284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17284With loss 0.1267430099331721
epoch: 17285
Epoch 17285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17285With loss 0.1267430099331721
epoch: 17286
Epoch 17286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17286With loss 0.1267430099331721
epoch: 17287
Epoch 17287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17287With loss 0.1267430099331721
epoch: 17288
Epoch 17288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17288With loss 0.1267430099331721
epoch: 17289
Epoch 17289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17289With loss 0.1267430099331721
epoch: 17290
Epoch 17290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17290With loss 0.1267430099331721
epoch: 17291
Epoch 17291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17291With loss 0.1267430099331721
epoch: 17292
Epoch 17292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17292With loss 0.1267430099331721
epoch: 17293
Epoch 17293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17293With loss 0.1267430099331721
epoch: 17294
Epoch 17294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17294With loss 0.1267430099331721
epoch: 17295
Epoch 17295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17295With loss 0.1267430099331721
epoch: 17296
Epoch 17296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17296With loss 0.1267430099331721
epoch: 17297
Epoch 17297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17297With loss 0.1267430099331721
epoch: 17298
Epoch 17298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17298With loss 0.1267430099331721
epoch: 17299
Epoch 17299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17299With loss 0.1267430099331721
epoch: 17300
Epoch 17300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17300With loss 0.1267430099331721
epoch: 17301
Epoch 17301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17301With loss 0.1267430099331721
epoch: 17302
Epoch 17302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17302With loss 0.1267430099331721
epoch: 17303
Epoch 17303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17303With loss 0.1267430099331721
epoch: 17304
Epoch 17304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17304With loss 0.1267430099331721
epoch: 17305
Epoch 17305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17305With loss 0.1267430099331721
epoch: 17306
Epoch 17306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17306With loss 0.1267430099331721
epoch: 17307
Epoch 17307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17307With loss 0.1267430099331721
epoch: 17308
Epoch 17308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17308With loss 0.1267430099331721
epoch: 17309
Epoch 17309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17309With loss 0.1267430099331721
epoch: 17310
Epoch 17310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17310With loss 0.1267430099331721
epoch: 17311
Epoch 17311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17311With loss 0.1267430099331721
epoch: 17312
Epoch 17312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17312With loss 0.1267430099331721
epoch: 17313
Epoch 17313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17313With loss 0.1267430099331721
epoch: 17314
Epoch 17314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17314With loss 0.1267430099331721
epoch: 17315
Epoch 17315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17315With loss 0.1267430099331721
epoch: 17316
Epoch 17316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17316With loss 0.1267430099331721
epoch: 17317
Epoch 17317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17317With loss 0.1267430099331721
epoch: 17318
Epoch 17318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17318With loss 0.1267430099331721
epoch: 17319
Epoch 17319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17319With loss 0.1267430099331721
epoch: 17320
Epoch 17320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17320With loss 0.1267430099331721
epoch: 17321
Epoch 17321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17321With loss 0.1267430099331721
epoch: 17322
Epoch 17322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17322With loss 0.1267430099331721
epoch: 17323
Epoch 17323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17323With loss 0.1267430099331721
epoch: 17324
Epoch 17324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17324With loss 0.1267430099331721
epoch: 17325
Epoch 17325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17325With loss 0.1267430099331721
epoch: 17326
Epoch 17326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17326With loss 0.1267430099331721
epoch: 17327
Epoch 17327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17327With loss 0.1267430099331721
epoch: 17328
Epoch 17328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17328With loss 0.1267430099331721
epoch: 17329
Epoch 17329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17329With loss 0.1267430099331721
epoch: 17330
Epoch 17330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17330With loss 0.1267430099331721
epoch: 17331
Epoch 17331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17331With loss 0.1267430099331721
epoch: 17332
Epoch 17332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17332With loss 0.1267430099331721
epoch: 17333
Epoch 17333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17333With loss 0.1267430099331721
epoch: 17334
Epoch 17334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17334With loss 0.1267430099331721
epoch: 17335
Epoch 17335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17335With loss 0.1267430099331721
epoch: 17336
Epoch 17336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17336With loss 0.1267430099331721
epoch: 17337
Epoch 17337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17337With loss 0.1267430099331721
epoch: 17338
Epoch 17338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17338With loss 0.1267430099331721
epoch: 17339
Epoch 17339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17339With loss 0.1267430099331721
epoch: 17340
Epoch 17340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17340With loss 0.1267430099331721
epoch: 17341
Epoch 17341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17341With loss 0.1267430099331721
epoch: 17342
Epoch 17342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17342With loss 0.1267430099331721
epoch: 17343
Epoch 17343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17343With loss 0.1267430099331721
epoch: 17344
Epoch 17344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17344With loss 0.1267430099331721
epoch: 17345
Epoch 17345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17345With loss 0.1267430099331721
epoch: 17346
Epoch 17346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17346With loss 0.1267430099331721
epoch: 17347
Epoch 17347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17347With loss 0.1267430099331721
epoch: 17348
Epoch 17348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17348With loss 0.1267430099331721
epoch: 17349
Epoch 17349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17349With loss 0.1267430099331721
epoch: 17350
Epoch 17350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17350With loss 0.1267430099331721
epoch: 17351
Epoch 17351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17351With loss 0.1267430099331721
epoch: 17352
Epoch 17352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17352With loss 0.1267430099331721
epoch: 17353
Epoch 17353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17353With loss 0.1267430099331721
epoch: 17354
Epoch 17354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17354With loss 0.1267430099331721
epoch: 17355
Epoch 17355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17355With loss 0.1267430099331721
epoch: 17356
Epoch 17356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17356With loss 0.1267430099331721
epoch: 17357
Epoch 17357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17357With loss 0.1267430099331721
epoch: 17358
Epoch 17358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17358With loss 0.1267430099331721
epoch: 17359
Epoch 17359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17359With loss 0.1267430099331721
epoch: 17360
Epoch 17360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17360With loss 0.1267430099331721
epoch: 17361
Epoch 17361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17361With loss 0.1267430099331721
epoch: 17362
Epoch 17362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17362With loss 0.1267430099331721
epoch: 17363
Epoch 17363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17363With loss 0.1267430099331721
epoch: 17364
Epoch 17364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17364With loss 0.1267430099331721
epoch: 17365
Epoch 17365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17365With loss 0.1267430099331721
epoch: 17366
Epoch 17366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17366With loss 0.1267430099331721
epoch: 17367
Epoch 17367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17367With loss 0.1267430099331721
epoch: 17368
Epoch 17368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17368With loss 0.1267430099331721
epoch: 17369
Epoch 17369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17369With loss 0.1267430099331721
epoch: 17370
Epoch 17370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17370With loss 0.1267430099331721
epoch: 17371
Epoch 17371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17371With loss 0.1267430099331721
epoch: 17372
Epoch 17372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17372With loss 0.1267430099331721
epoch: 17373
Epoch 17373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17373With loss 0.1267430099331721
epoch: 17374
Epoch 17374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17374With loss 0.1267430099331721
epoch: 17375
Epoch 17375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17375With loss 0.1267430099331721
epoch: 17376
Epoch 17376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17376With loss 0.1267430099331721
epoch: 17377
Epoch 17377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17377With loss 0.1267430099331721
epoch: 17378
Epoch 17378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17378With loss 0.1267430099331721
epoch: 17379
Epoch 17379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17379With loss 0.1267430099331721
epoch: 17380
Epoch 17380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17380With loss 0.1267430099331721
epoch: 17381
Epoch 17381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17381With loss 0.1267430099331721
epoch: 17382
Epoch 17382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17382With loss 0.1267430099331721
epoch: 17383
Epoch 17383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17383With loss 0.1267430099331721
epoch: 17384
Epoch 17384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17384With loss 0.1267430099331721
epoch: 17385
Epoch 17385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17385With loss 0.1267430099331721
epoch: 17386
Epoch 17386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17386With loss 0.1267430099331721
epoch: 17387
Epoch 17387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17387With loss 0.1267430099331721
epoch: 17388
Epoch 17388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17388With loss 0.1267430099331721
epoch: 17389
Epoch 17389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17389With loss 0.1267430099331721
epoch: 17390
Epoch 17390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17390With loss 0.1267430099331721
epoch: 17391
Epoch 17391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17391With loss 0.1267430099331721
epoch: 17392
Epoch 17392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17392With loss 0.1267430099331721
epoch: 17393
Epoch 17393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17393With loss 0.1267430099331721
epoch: 17394
Epoch 17394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17394With loss 0.1267430099331721
epoch: 17395
Epoch 17395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17395With loss 0.1267430099331721
epoch: 17396
Epoch 17396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17396With loss 0.1267430099331721
epoch: 17397
Epoch 17397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17397With loss 0.1267430099331721
epoch: 17398
Epoch 17398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17398With loss 0.1267430099331721
epoch: 17399
Epoch 17399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17399With loss 0.1267430099331721
epoch: 17400
Epoch 17400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17400With loss 0.1267430099331721
epoch: 17401
Epoch 17401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17401With loss 0.1267430099331721
epoch: 17402
Epoch 17402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17402With loss 0.1267430099331721
epoch: 17403
Epoch 17403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17403With loss 0.1267430099331721
epoch: 17404
Epoch 17404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17404With loss 0.1267430099331721
epoch: 17405
Epoch 17405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17405With loss 0.1267430099331721
epoch: 17406
Epoch 17406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17406With loss 0.1267430099331721
epoch: 17407
Epoch 17407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17407With loss 0.1267430099331721
epoch: 17408
Epoch 17408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17408With loss 0.1267430099331721
epoch: 17409
Epoch 17409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17409With loss 0.1267430099331721
epoch: 17410
Epoch 17410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17410With loss 0.1267430099331721
epoch: 17411
Epoch 17411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17411With loss 0.1267430099331721
epoch: 17412
Epoch 17412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17412With loss 0.1267430099331721
epoch: 17413
Epoch 17413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17413With loss 0.1267430099331721
epoch: 17414
Epoch 17414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17414With loss 0.1267430099331721
epoch: 17415
Epoch 17415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17415With loss 0.1267430099331721
epoch: 17416
Epoch 17416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17416With loss 0.1267430099331721
epoch: 17417
Epoch 17417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17417With loss 0.1267430099331721
epoch: 17418
Epoch 17418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17418With loss 0.1267430099331721
epoch: 17419
Epoch 17419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17419With loss 0.1267430099331721
epoch: 17420
Epoch 17420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17420With loss 0.1267430099331721
epoch: 17421
Epoch 17421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17421With loss 0.1267430099331721
epoch: 17422
Epoch 17422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17422With loss 0.1267430099331721
epoch: 17423
Epoch 17423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17423With loss 0.1267430099331721
epoch: 17424
Epoch 17424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17424With loss 0.1267430099331721
epoch: 17425
Epoch 17425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17425With loss 0.1267430099331721
epoch: 17426
Epoch 17426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17426With loss 0.1267430099331721
epoch: 17427
Epoch 17427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17427With loss 0.1267430099331721
epoch: 17428
Epoch 17428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17428With loss 0.1267430099331721
epoch: 17429
Epoch 17429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17429With loss 0.1267430099331721
epoch: 17430
Epoch 17430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17430With loss 0.1267430099331721
epoch: 17431
Epoch 17431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17431With loss 0.1267430099331721
epoch: 17432
Epoch 17432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17432With loss 0.1267430099331721
epoch: 17433
Epoch 17433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17433With loss 0.1267430099331721
epoch: 17434
Epoch 17434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17434With loss 0.1267430099331721
epoch: 17435
Epoch 17435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17435With loss 0.1267430099331721
epoch: 17436
Epoch 17436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17436With loss 0.1267430099331721
epoch: 17437
Epoch 17437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17437With loss 0.1267430099331721
epoch: 17438
Epoch 17438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17438With loss 0.1267430099331721
epoch: 17439
Epoch 17439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17439With loss 0.1267430099331721
epoch: 17440
Epoch 17440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17440With loss 0.1267430099331721
epoch: 17441
Epoch 17441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17441With loss 0.1267430099331721
epoch: 17442
Epoch 17442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17442With loss 0.1267430099331721
epoch: 17443
Epoch 17443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17443With loss 0.1267430099331721
epoch: 17444
Epoch 17444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17444With loss 0.1267430099331721
epoch: 17445
Epoch 17445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17445With loss 0.1267430099331721
epoch: 17446
Epoch 17446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17446With loss 0.1267430099331721
epoch: 17447
Epoch 17447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17447With loss 0.1267430099331721
epoch: 17448
Epoch 17448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17448With loss 0.1267430099331721
epoch: 17449
Epoch 17449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17449With loss 0.1267430099331721
epoch: 17450
Epoch 17450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17450With loss 0.1267430099331721
epoch: 17451
Epoch 17451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17451With loss 0.1267430099331721
epoch: 17452
Epoch 17452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17452With loss 0.1267430099331721
epoch: 17453
Epoch 17453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17453With loss 0.1267430099331721
epoch: 17454
Epoch 17454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17454With loss 0.1267430099331721
epoch: 17455
Epoch 17455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17455With loss 0.1267430099331721
epoch: 17456
Epoch 17456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17456With loss 0.1267430099331721
epoch: 17457
Epoch 17457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17457With loss 0.1267430099331721
epoch: 17458
Epoch 17458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17458With loss 0.1267430099331721
epoch: 17459
Epoch 17459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17459With loss 0.1267430099331721
epoch: 17460
Epoch 17460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17460With loss 0.1267430099331721
epoch: 17461
Epoch 17461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17461With loss 0.1267430099331721
epoch: 17462
Epoch 17462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17462With loss 0.1267430099331721
epoch: 17463
Epoch 17463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17463With loss 0.1267430099331721
epoch: 17464
Epoch 17464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17464With loss 0.1267430099331721
epoch: 17465
Epoch 17465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17465With loss 0.1267430099331721
epoch: 17466
Epoch 17466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17466With loss 0.1267430099331721
epoch: 17467
Epoch 17467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17467With loss 0.1267430099331721
epoch: 17468
Epoch 17468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17468With loss 0.1267430099331721
epoch: 17469
Epoch 17469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17469With loss 0.1267430099331721
epoch: 17470
Epoch 17470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17470With loss 0.1267430099331721
epoch: 17471
Epoch 17471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17471With loss 0.1267430099331721
epoch: 17472
Epoch 17472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17472With loss 0.1267430099331721
epoch: 17473
Epoch 17473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17473With loss 0.1267430099331721
epoch: 17474
Epoch 17474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17474With loss 0.1267430099331721
epoch: 17475
Epoch 17475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17475With loss 0.1267430099331721
epoch: 17476
Epoch 17476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17476With loss 0.1267430099331721
epoch: 17477
Epoch 17477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17477With loss 0.1267430099331721
epoch: 17478
Epoch 17478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17478With loss 0.1267430099331721
epoch: 17479
Epoch 17479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17479With loss 0.1267430099331721
epoch: 17480
Epoch 17480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17480With loss 0.1267430099331721
epoch: 17481
Epoch 17481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17481With loss 0.1267430099331721
epoch: 17482
Epoch 17482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17482With loss 0.1267430099331721
epoch: 17483
Epoch 17483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17483With loss 0.1267430099331721
epoch: 17484
Epoch 17484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17484With loss 0.1267430099331721
epoch: 17485
Epoch 17485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17485With loss 0.1267430099331721
epoch: 17486
Epoch 17486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17486With loss 0.1267430099331721
epoch: 17487
Epoch 17487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17487With loss 0.1267430099331721
epoch: 17488
Epoch 17488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17488With loss 0.1267430099331721
epoch: 17489
Epoch 17489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17489With loss 0.1267430099331721
epoch: 17490
Epoch 17490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17490With loss 0.1267430099331721
epoch: 17491
Epoch 17491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17491With loss 0.1267430099331721
epoch: 17492
Epoch 17492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17492With loss 0.1267430099331721
epoch: 17493
Epoch 17493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17493With loss 0.1267430099331721
epoch: 17494
Epoch 17494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17494With loss 0.1267430099331721
epoch: 17495
Epoch 17495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17495With loss 0.1267430099331721
epoch: 17496
Epoch 17496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17496With loss 0.1267430099331721
epoch: 17497
Epoch 17497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17497With loss 0.1267430099331721
epoch: 17498
Epoch 17498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17498With loss 0.1267430099331721
epoch: 17499
Epoch 17499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17499With loss 0.1267430099331721
epoch: 17500
Epoch 17500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17500With loss 0.1267430099331721
epoch: 17501
Epoch 17501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17501With loss 0.1267430099331721
epoch: 17502
Epoch 17502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17502With loss 0.1267430099331721
epoch: 17503
Epoch 17503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17503With loss 0.1267430099331721
epoch: 17504
Epoch 17504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17504With loss 0.1267430099331721
epoch: 17505
Epoch 17505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17505With loss 0.1267430099331721
epoch: 17506
Epoch 17506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17506With loss 0.1267430099331721
epoch: 17507
Epoch 17507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17507With loss 0.1267430099331721
epoch: 17508
Epoch 17508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17508With loss 0.1267430099331721
epoch: 17509
Epoch 17509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17509With loss 0.1267430099331721
epoch: 17510
Epoch 17510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17510With loss 0.1267430099331721
epoch: 17511
Epoch 17511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17511With loss 0.1267430099331721
epoch: 17512
Epoch 17512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17512With loss 0.1267430099331721
epoch: 17513
Epoch 17513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17513With loss 0.1267430099331721
epoch: 17514
Epoch 17514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17514With loss 0.1267430099331721
epoch: 17515
Epoch 17515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17515With loss 0.1267430099331721
epoch: 17516
Epoch 17516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17516With loss 0.1267430099331721
epoch: 17517
Epoch 17517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17517With loss 0.1267430099331721
epoch: 17518
Epoch 17518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17518With loss 0.1267430099331721
epoch: 17519
Epoch 17519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17519With loss 0.1267430099331721
epoch: 17520
Epoch 17520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17520With loss 0.1267430099331721
epoch: 17521
Epoch 17521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17521With loss 0.1267430099331721
epoch: 17522
Epoch 17522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17522With loss 0.1267430099331721
epoch: 17523
Epoch 17523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17523With loss 0.1267430099331721
epoch: 17524
Epoch 17524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17524With loss 0.1267430099331721
epoch: 17525
Epoch 17525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17525With loss 0.1267430099331721
epoch: 17526
Epoch 17526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17526With loss 0.1267430099331721
epoch: 17527
Epoch 17527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17527With loss 0.1267430099331721
epoch: 17528
Epoch 17528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17528With loss 0.1267430099331721
epoch: 17529
Epoch 17529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17529With loss 0.1267430099331721
epoch: 17530
Epoch 17530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17530With loss 0.1267430099331721
epoch: 17531
Epoch 17531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17531With loss 0.1267430099331721
epoch: 17532
Epoch 17532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17532With loss 0.1267430099331721
epoch: 17533
Epoch 17533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17533With loss 0.1267430099331721
epoch: 17534
Epoch 17534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17534With loss 0.1267430099331721
epoch: 17535
Epoch 17535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17535With loss 0.1267430099331721
epoch: 17536
Epoch 17536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17536With loss 0.1267430099331721
epoch: 17537
Epoch 17537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17537With loss 0.1267430099331721
epoch: 17538
Epoch 17538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17538With loss 0.1267430099331721
epoch: 17539
Epoch 17539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17539With loss 0.1267430099331721
epoch: 17540
Epoch 17540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17540With loss 0.1267430099331721
epoch: 17541
Epoch 17541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17541With loss 0.1267430099331721
epoch: 17542
Epoch 17542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17542With loss 0.1267430099331721
epoch: 17543
Epoch 17543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17543With loss 0.1267430099331721
epoch: 17544
Epoch 17544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17544With loss 0.1267430099331721
epoch: 17545
Epoch 17545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17545With loss 0.1267430099331721
epoch: 17546
Epoch 17546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17546With loss 0.1267430099331721
epoch: 17547
Epoch 17547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17547With loss 0.1267430099331721
epoch: 17548
Epoch 17548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17548With loss 0.1267430099331721
epoch: 17549
Epoch 17549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17549With loss 0.1267430099331721
epoch: 17550
Epoch 17550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17550With loss 0.1267430099331721
epoch: 17551
Epoch 17551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17551With loss 0.1267430099331721
epoch: 17552
Epoch 17552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17552With loss 0.1267430099331721
epoch: 17553
Epoch 17553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17553With loss 0.1267430099331721
epoch: 17554
Epoch 17554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17554With loss 0.1267430099331721
epoch: 17555
Epoch 17555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17555With loss 0.1267430099331721
epoch: 17556
Epoch 17556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17556With loss 0.1267430099331721
epoch: 17557
Epoch 17557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17557With loss 0.1267430099331721
epoch: 17558
Epoch 17558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17558With loss 0.1267430099331721
epoch: 17559
Epoch 17559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17559With loss 0.1267430099331721
epoch: 17560
Epoch 17560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17560With loss 0.1267430099331721
epoch: 17561
Epoch 17561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17561With loss 0.1267430099331721
epoch: 17562
Epoch 17562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17562With loss 0.1267430099331721
epoch: 17563
Epoch 17563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17563With loss 0.1267430099331721
epoch: 17564
Epoch 17564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17564With loss 0.1267430099331721
epoch: 17565
Epoch 17565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17565With loss 0.1267430099331721
epoch: 17566
Epoch 17566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17566With loss 0.1267430099331721
epoch: 17567
Epoch 17567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17567With loss 0.1267430099331721
epoch: 17568
Epoch 17568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17568With loss 0.1267430099331721
epoch: 17569
Epoch 17569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17569With loss 0.1267430099331721
epoch: 17570
Epoch 17570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17570With loss 0.1267430099331721
epoch: 17571
Epoch 17571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17571With loss 0.1267430099331721
epoch: 17572
Epoch 17572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17572With loss 0.1267430099331721
epoch: 17573
Epoch 17573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17573With loss 0.1267430099331721
epoch: 17574
Epoch 17574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17574With loss 0.1267430099331721
epoch: 17575
Epoch 17575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17575With loss 0.1267430099331721
epoch: 17576
Epoch 17576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17576With loss 0.1267430099331721
epoch: 17577
Epoch 17577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17577With loss 0.1267430099331721
epoch: 17578
Epoch 17578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17578With loss 0.1267430099331721
epoch: 17579
Epoch 17579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17579With loss 0.1267430099331721
epoch: 17580
Epoch 17580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17580With loss 0.1267430099331721
epoch: 17581
Epoch 17581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17581With loss 0.1267430099331721
epoch: 17582
Epoch 17582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17582With loss 0.1267430099331721
epoch: 17583
Epoch 17583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17583With loss 0.1267430099331721
epoch: 17584
Epoch 17584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17584With loss 0.1267430099331721
epoch: 17585
Epoch 17585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17585With loss 0.1267430099331721
epoch: 17586
Epoch 17586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17586With loss 0.1267430099331721
epoch: 17587
Epoch 17587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17587With loss 0.1267430099331721
epoch: 17588
Epoch 17588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17588With loss 0.1267430099331721
epoch: 17589
Epoch 17589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17589With loss 0.1267430099331721
epoch: 17590
Epoch 17590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17590With loss 0.1267430099331721
epoch: 17591
Epoch 17591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17591With loss 0.1267430099331721
epoch: 17592
Epoch 17592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17592With loss 0.1267430099331721
epoch: 17593
Epoch 17593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17593With loss 0.1267430099331721
epoch: 17594
Epoch 17594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17594With loss 0.1267430099331721
epoch: 17595
Epoch 17595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17595With loss 0.1267430099331721
epoch: 17596
Epoch 17596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17596With loss 0.1267430099331721
epoch: 17597
Epoch 17597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17597With loss 0.1267430099331721
epoch: 17598
Epoch 17598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17598With loss 0.1267430099331721
epoch: 17599
Epoch 17599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17599With loss 0.1267430099331721
epoch: 17600
Epoch 17600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17600With loss 0.1267430099331721
epoch: 17601
Epoch 17601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17601With loss 0.1267430099331721
epoch: 17602
Epoch 17602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17602With loss 0.1267430099331721
epoch: 17603
Epoch 17603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17603With loss 0.1267430099331721
epoch: 17604
Epoch 17604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17604With loss 0.1267430099331721
epoch: 17605
Epoch 17605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17605With loss 0.1267430099331721
epoch: 17606
Epoch 17606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17606With loss 0.1267430099331721
epoch: 17607
Epoch 17607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17607With loss 0.1267430099331721
epoch: 17608
Epoch 17608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17608With loss 0.1267430099331721
epoch: 17609
Epoch 17609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17609With loss 0.1267430099331721
epoch: 17610
Epoch 17610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17610With loss 0.1267430099331721
epoch: 17611
Epoch 17611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17611With loss 0.1267430099331721
epoch: 17612
Epoch 17612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17612With loss 0.1267430099331721
epoch: 17613
Epoch 17613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17613With loss 0.1267430099331721
epoch: 17614
Epoch 17614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17614With loss 0.1267430099331721
epoch: 17615
Epoch 17615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17615With loss 0.1267430099331721
epoch: 17616
Epoch 17616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17616With loss 0.1267430099331721
epoch: 17617
Epoch 17617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17617With loss 0.1267430099331721
epoch: 17618
Epoch 17618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17618With loss 0.1267430099331721
epoch: 17619
Epoch 17619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17619With loss 0.1267430099331721
epoch: 17620
Epoch 17620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17620With loss 0.1267430099331721
epoch: 17621
Epoch 17621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17621With loss 0.1267430099331721
epoch: 17622
Epoch 17622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17622With loss 0.1267430099331721
epoch: 17623
Epoch 17623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17623With loss 0.1267430099331721
epoch: 17624
Epoch 17624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17624With loss 0.1267430099331721
epoch: 17625
Epoch 17625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17625With loss 0.1267430099331721
epoch: 17626
Epoch 17626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17626With loss 0.1267430099331721
epoch: 17627
Epoch 17627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17627With loss 0.1267430099331721
epoch: 17628
Epoch 17628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17628With loss 0.1267430099331721
epoch: 17629
Epoch 17629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17629With loss 0.1267430099331721
epoch: 17630
Epoch 17630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17630With loss 0.1267430099331721
epoch: 17631
Epoch 17631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17631With loss 0.1267430099331721
epoch: 17632
Epoch 17632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17632With loss 0.1267430099331721
epoch: 17633
Epoch 17633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17633With loss 0.1267430099331721
epoch: 17634
Epoch 17634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17634With loss 0.1267430099331721
epoch: 17635
Epoch 17635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17635With loss 0.1267430099331721
epoch: 17636
Epoch 17636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17636With loss 0.1267430099331721
epoch: 17637
Epoch 17637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17637With loss 0.1267430099331721
epoch: 17638
Epoch 17638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17638With loss 0.1267430099331721
epoch: 17639
Epoch 17639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17639With loss 0.1267430099331721
epoch: 17640
Epoch 17640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17640With loss 0.1267430099331721
epoch: 17641
Epoch 17641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17641With loss 0.1267430099331721
epoch: 17642
Epoch 17642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17642With loss 0.1267430099331721
epoch: 17643
Epoch 17643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17643With loss 0.1267430099331721
epoch: 17644
Epoch 17644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17644With loss 0.1267430099331721
epoch: 17645
Epoch 17645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17645With loss 0.1267430099331721
epoch: 17646
Epoch 17646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17646With loss 0.1267430099331721
epoch: 17647
Epoch 17647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17647With loss 0.1267430099331721
epoch: 17648
Epoch 17648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17648With loss 0.1267430099331721
epoch: 17649
Epoch 17649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17649With loss 0.1267430099331721
epoch: 17650
Epoch 17650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17650With loss 0.1267430099331721
epoch: 17651
Epoch 17651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17651With loss 0.1267430099331721
epoch: 17652
Epoch 17652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17652With loss 0.1267430099331721
epoch: 17653
Epoch 17653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17653With loss 0.1267430099331721
epoch: 17654
Epoch 17654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17654With loss 0.1267430099331721
epoch: 17655
Epoch 17655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17655With loss 0.1267430099331721
epoch: 17656
Epoch 17656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17656With loss 0.1267430099331721
epoch: 17657
Epoch 17657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17657With loss 0.1267430099331721
epoch: 17658
Epoch 17658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17658With loss 0.1267430099331721
epoch: 17659
Epoch 17659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17659With loss 0.1267430099331721
epoch: 17660
Epoch 17660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17660With loss 0.1267430099331721
epoch: 17661
Epoch 17661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17661With loss 0.1267430099331721
epoch: 17662
Epoch 17662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17662With loss 0.1267430099331721
epoch: 17663
Epoch 17663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17663With loss 0.1267430099331721
epoch: 17664
Epoch 17664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17664With loss 0.1267430099331721
epoch: 17665
Epoch 17665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17665With loss 0.1267430099331721
epoch: 17666
Epoch 17666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17666With loss 0.1267430099331721
epoch: 17667
Epoch 17667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17667With loss 0.1267430099331721
epoch: 17668
Epoch 17668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17668With loss 0.1267430099331721
epoch: 17669
Epoch 17669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17669With loss 0.1267430099331721
epoch: 17670
Epoch 17670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17670With loss 0.1267430099331721
epoch: 17671
Epoch 17671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17671With loss 0.1267430099331721
epoch: 17672
Epoch 17672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17672With loss 0.1267430099331721
epoch: 17673
Epoch 17673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17673With loss 0.1267430099331721
epoch: 17674
Epoch 17674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17674With loss 0.1267430099331721
epoch: 17675
Epoch 17675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17675With loss 0.1267430099331721
epoch: 17676
Epoch 17676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17676With loss 0.1267430099331721
epoch: 17677
Epoch 17677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17677With loss 0.1267430099331721
epoch: 17678
Epoch 17678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17678With loss 0.1267430099331721
epoch: 17679
Epoch 17679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17679With loss 0.1267430099331721
epoch: 17680
Epoch 17680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17680With loss 0.1267430099331721
epoch: 17681
Epoch 17681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17681With loss 0.1267430099331721
epoch: 17682
Epoch 17682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17682With loss 0.1267430099331721
epoch: 17683
Epoch 17683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17683With loss 0.1267430099331721
epoch: 17684
Epoch 17684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17684With loss 0.1267430099331721
epoch: 17685
Epoch 17685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17685With loss 0.1267430099331721
epoch: 17686
Epoch 17686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17686With loss 0.1267430099331721
epoch: 17687
Epoch 17687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17687With loss 0.1267430099331721
epoch: 17688
Epoch 17688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17688With loss 0.1267430099331721
epoch: 17689
Epoch 17689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17689With loss 0.1267430099331721
epoch: 17690
Epoch 17690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17690With loss 0.1267430099331721
epoch: 17691
Epoch 17691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17691With loss 0.1267430099331721
epoch: 17692
Epoch 17692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17692With loss 0.1267430099331721
epoch: 17693
Epoch 17693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17693With loss 0.1267430099331721
epoch: 17694
Epoch 17694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17694With loss 0.1267430099331721
epoch: 17695
Epoch 17695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17695With loss 0.1267430099331721
epoch: 17696
Epoch 17696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17696With loss 0.1267430099331721
epoch: 17697
Epoch 17697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17697With loss 0.1267430099331721
epoch: 17698
Epoch 17698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17698With loss 0.1267430099331721
epoch: 17699
Epoch 17699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17699With loss 0.1267430099331721
epoch: 17700
Epoch 17700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17700With loss 0.1267430099331721
epoch: 17701
Epoch 17701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17701With loss 0.1267430099331721
epoch: 17702
Epoch 17702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17702With loss 0.1267430099331721
epoch: 17703
Epoch 17703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17703With loss 0.1267430099331721
epoch: 17704
Epoch 17704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17704With loss 0.1267430099331721
epoch: 17705
Epoch 17705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17705With loss 0.1267430099331721
epoch: 17706
Epoch 17706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17706With loss 0.1267430099331721
epoch: 17707
Epoch 17707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17707With loss 0.1267430099331721
epoch: 17708
Epoch 17708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17708With loss 0.1267430099331721
epoch: 17709
Epoch 17709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17709With loss 0.1267430099331721
epoch: 17710
Epoch 17710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17710With loss 0.1267430099331721
epoch: 17711
Epoch 17711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17711With loss 0.1267430099331721
epoch: 17712
Epoch 17712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17712With loss 0.1267430099331721
epoch: 17713
Epoch 17713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17713With loss 0.1267430099331721
epoch: 17714
Epoch 17714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17714With loss 0.1267430099331721
epoch: 17715
Epoch 17715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17715With loss 0.1267430099331721
epoch: 17716
Epoch 17716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17716With loss 0.1267430099331721
epoch: 17717
Epoch 17717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17717With loss 0.1267430099331721
epoch: 17718
Epoch 17718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17718With loss 0.1267430099331721
epoch: 17719
Epoch 17719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17719With loss 0.1267430099331721
epoch: 17720
Epoch 17720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17720With loss 0.1267430099331721
epoch: 17721
Epoch 17721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17721With loss 0.1267430099331721
epoch: 17722
Epoch 17722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17722With loss 0.1267430099331721
epoch: 17723
Epoch 17723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17723With loss 0.1267430099331721
epoch: 17724
Epoch 17724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17724With loss 0.1267430099331721
epoch: 17725
Epoch 17725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17725With loss 0.1267430099331721
epoch: 17726
Epoch 17726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17726With loss 0.1267430099331721
epoch: 17727
Epoch 17727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17727With loss 0.1267430099331721
epoch: 17728
Epoch 17728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17728With loss 0.1267430099331721
epoch: 17729
Epoch 17729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17729With loss 0.1267430099331721
epoch: 17730
Epoch 17730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17730With loss 0.1267430099331721
epoch: 17731
Epoch 17731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17731With loss 0.1267430099331721
epoch: 17732
Epoch 17732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17732With loss 0.1267430099331721
epoch: 17733
Epoch 17733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17733With loss 0.1267430099331721
epoch: 17734
Epoch 17734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17734With loss 0.1267430099331721
epoch: 17735
Epoch 17735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17735With loss 0.1267430099331721
epoch: 17736
Epoch 17736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17736With loss 0.1267430099331721
epoch: 17737
Epoch 17737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17737With loss 0.1267430099331721
epoch: 17738
Epoch 17738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17738With loss 0.1267430099331721
epoch: 17739
Epoch 17739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17739With loss 0.1267430099331721
epoch: 17740
Epoch 17740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17740With loss 0.1267430099331721
epoch: 17741
Epoch 17741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17741With loss 0.1267430099331721
epoch: 17742
Epoch 17742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17742With loss 0.1267430099331721
epoch: 17743
Epoch 17743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17743With loss 0.1267430099331721
epoch: 17744
Epoch 17744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17744With loss 0.1267430099331721
epoch: 17745
Epoch 17745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17745With loss 0.1267430099331721
epoch: 17746
Epoch 17746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17746With loss 0.1267430099331721
epoch: 17747
Epoch 17747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17747With loss 0.1267430099331721
epoch: 17748
Epoch 17748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17748With loss 0.1267430099331721
epoch: 17749
Epoch 17749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17749With loss 0.1267430099331721
epoch: 17750
Epoch 17750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17750With loss 0.1267430099331721
epoch: 17751
Epoch 17751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17751With loss 0.1267430099331721
epoch: 17752
Epoch 17752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17752With loss 0.1267430099331721
epoch: 17753
Epoch 17753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17753With loss 0.1267430099331721
epoch: 17754
Epoch 17754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17754With loss 0.1267430099331721
epoch: 17755
Epoch 17755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17755With loss 0.1267430099331721
epoch: 17756
Epoch 17756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17756With loss 0.1267430099331721
epoch: 17757
Epoch 17757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17757With loss 0.1267430099331721
epoch: 17758
Epoch 17758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17758With loss 0.1267430099331721
epoch: 17759
Epoch 17759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17759With loss 0.1267430099331721
epoch: 17760
Epoch 17760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17760With loss 0.1267430099331721
epoch: 17761
Epoch 17761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17761With loss 0.1267430099331721
epoch: 17762
Epoch 17762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17762With loss 0.1267430099331721
epoch: 17763
Epoch 17763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17763With loss 0.1267430099331721
epoch: 17764
Epoch 17764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17764With loss 0.1267430099331721
epoch: 17765
Epoch 17765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17765With loss 0.1267430099331721
epoch: 17766
Epoch 17766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17766With loss 0.1267430099331721
epoch: 17767
Epoch 17767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17767With loss 0.1267430099331721
epoch: 17768
Epoch 17768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17768With loss 0.1267430099331721
epoch: 17769
Epoch 17769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17769With loss 0.1267430099331721
epoch: 17770
Epoch 17770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17770With loss 0.1267430099331721
epoch: 17771
Epoch 17771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17771With loss 0.1267430099331721
epoch: 17772
Epoch 17772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17772With loss 0.1267430099331721
epoch: 17773
Epoch 17773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17773With loss 0.1267430099331721
epoch: 17774
Epoch 17774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17774With loss 0.1267430099331721
epoch: 17775
Epoch 17775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17775With loss 0.1267430099331721
epoch: 17776
Epoch 17776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17776With loss 0.1267430099331721
epoch: 17777
Epoch 17777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17777With loss 0.1267430099331721
epoch: 17778
Epoch 17778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17778With loss 0.1267430099331721
epoch: 17779
Epoch 17779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17779With loss 0.1267430099331721
epoch: 17780
Epoch 17780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17780With loss 0.1267430099331721
epoch: 17781
Epoch 17781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17781With loss 0.1267430099331721
epoch: 17782
Epoch 17782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17782With loss 0.1267430099331721
epoch: 17783
Epoch 17783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17783With loss 0.1267430099331721
epoch: 17784
Epoch 17784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17784With loss 0.1267430099331721
epoch: 17785
Epoch 17785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17785With loss 0.1267430099331721
epoch: 17786
Epoch 17786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17786With loss 0.1267430099331721
epoch: 17787
Epoch 17787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17787With loss 0.1267430099331721
epoch: 17788
Epoch 17788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17788With loss 0.1267430099331721
epoch: 17789
Epoch 17789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17789With loss 0.1267430099331721
epoch: 17790
Epoch 17790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17790With loss 0.1267430099331721
epoch: 17791
Epoch 17791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17791With loss 0.1267430099331721
epoch: 17792
Epoch 17792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17792With loss 0.1267430099331721
epoch: 17793
Epoch 17793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17793With loss 0.1267430099331721
epoch: 17794
Epoch 17794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17794With loss 0.1267430099331721
epoch: 17795
Epoch 17795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17795With loss 0.1267430099331721
epoch: 17796
Epoch 17796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17796With loss 0.1267430099331721
epoch: 17797
Epoch 17797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17797With loss 0.1267430099331721
epoch: 17798
Epoch 17798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17798With loss 0.1267430099331721
epoch: 17799
Epoch 17799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17799With loss 0.1267430099331721
epoch: 17800
Epoch 17800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17800With loss 0.1267430099331721
epoch: 17801
Epoch 17801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17801With loss 0.1267430099331721
epoch: 17802
Epoch 17802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17802With loss 0.1267430099331721
epoch: 17803
Epoch 17803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17803With loss 0.1267430099331721
epoch: 17804
Epoch 17804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17804With loss 0.1267430099331721
epoch: 17805
Epoch 17805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17805With loss 0.1267430099331721
epoch: 17806
Epoch 17806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17806With loss 0.1267430099331721
epoch: 17807
Epoch 17807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17807With loss 0.1267430099331721
epoch: 17808
Epoch 17808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17808With loss 0.1267430099331721
epoch: 17809
Epoch 17809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17809With loss 0.1267430099331721
epoch: 17810
Epoch 17810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17810With loss 0.1267430099331721
epoch: 17811
Epoch 17811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17811With loss 0.1267430099331721
epoch: 17812
Epoch 17812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17812With loss 0.1267430099331721
epoch: 17813
Epoch 17813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17813With loss 0.1267430099331721
epoch: 17814
Epoch 17814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17814With loss 0.1267430099331721
epoch: 17815
Epoch 17815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17815With loss 0.1267430099331721
epoch: 17816
Epoch 17816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17816With loss 0.1267430099331721
epoch: 17817
Epoch 17817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17817With loss 0.1267430099331721
epoch: 17818
Epoch 17818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17818With loss 0.1267430099331721
epoch: 17819
Epoch 17819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17819With loss 0.1267430099331721
epoch: 17820
Epoch 17820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17820With loss 0.1267430099331721
epoch: 17821
Epoch 17821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17821With loss 0.1267430099331721
epoch: 17822
Epoch 17822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17822With loss 0.1267430099331721
epoch: 17823
Epoch 17823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17823With loss 0.1267430099331721
epoch: 17824
Epoch 17824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17824With loss 0.1267430099331721
epoch: 17825
Epoch 17825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17825With loss 0.1267430099331721
epoch: 17826
Epoch 17826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17826With loss 0.1267430099331721
epoch: 17827
Epoch 17827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17827With loss 0.1267430099331721
epoch: 17828
Epoch 17828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17828With loss 0.1267430099331721
epoch: 17829
Epoch 17829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17829With loss 0.1267430099331721
epoch: 17830
Epoch 17830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17830With loss 0.1267430099331721
epoch: 17831
Epoch 17831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17831With loss 0.1267430099331721
epoch: 17832
Epoch 17832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17832With loss 0.1267430099331721
epoch: 17833
Epoch 17833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17833With loss 0.1267430099331721
epoch: 17834
Epoch 17834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17834With loss 0.1267430099331721
epoch: 17835
Epoch 17835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17835With loss 0.1267430099331721
epoch: 17836
Epoch 17836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17836With loss 0.1267430099331721
epoch: 17837
Epoch 17837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17837With loss 0.1267430099331721
epoch: 17838
Epoch 17838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17838With loss 0.1267430099331721
epoch: 17839
Epoch 17839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17839With loss 0.1267430099331721
epoch: 17840
Epoch 17840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17840With loss 0.1267430099331721
epoch: 17841
Epoch 17841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17841With loss 0.1267430099331721
epoch: 17842
Epoch 17842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17842With loss 0.1267430099331721
epoch: 17843
Epoch 17843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17843With loss 0.1267430099331721
epoch: 17844
Epoch 17844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17844With loss 0.1267430099331721
epoch: 17845
Epoch 17845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17845With loss 0.1267430099331721
epoch: 17846
Epoch 17846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17846With loss 0.1267430099331721
epoch: 17847
Epoch 17847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17847With loss 0.1267430099331721
epoch: 17848
Epoch 17848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17848With loss 0.1267430099331721
epoch: 17849
Epoch 17849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17849With loss 0.1267430099331721
epoch: 17850
Epoch 17850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17850With loss 0.1267430099331721
epoch: 17851
Epoch 17851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17851With loss 0.1267430099331721
epoch: 17852
Epoch 17852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17852With loss 0.1267430099331721
epoch: 17853
Epoch 17853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17853With loss 0.1267430099331721
epoch: 17854
Epoch 17854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17854With loss 0.1267430099331721
epoch: 17855
Epoch 17855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17855With loss 0.1267430099331721
epoch: 17856
Epoch 17856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17856With loss 0.1267430099331721
epoch: 17857
Epoch 17857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17857With loss 0.1267430099331721
epoch: 17858
Epoch 17858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17858With loss 0.1267430099331721
epoch: 17859
Epoch 17859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17859With loss 0.1267430099331721
epoch: 17860
Epoch 17860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17860With loss 0.1267430099331721
epoch: 17861
Epoch 17861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17861With loss 0.1267430099331721
epoch: 17862
Epoch 17862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17862With loss 0.1267430099331721
epoch: 17863
Epoch 17863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17863With loss 0.1267430099331721
epoch: 17864
Epoch 17864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17864With loss 0.1267430099331721
epoch: 17865
Epoch 17865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17865With loss 0.1267430099331721
epoch: 17866
Epoch 17866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17866With loss 0.1267430099331721
epoch: 17867
Epoch 17867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17867With loss 0.1267430099331721
epoch: 17868
Epoch 17868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17868With loss 0.1267430099331721
epoch: 17869
Epoch 17869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17869With loss 0.1267430099331721
epoch: 17870
Epoch 17870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17870With loss 0.1267430099331721
epoch: 17871
Epoch 17871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17871With loss 0.1267430099331721
epoch: 17872
Epoch 17872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17872With loss 0.1267430099331721
epoch: 17873
Epoch 17873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17873With loss 0.1267430099331721
epoch: 17874
Epoch 17874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17874With loss 0.1267430099331721
epoch: 17875
Epoch 17875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17875With loss 0.1267430099331721
epoch: 17876
Epoch 17876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17876With loss 0.1267430099331721
epoch: 17877
Epoch 17877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17877With loss 0.1267430099331721
epoch: 17878
Epoch 17878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17878With loss 0.1267430099331721
epoch: 17879
Epoch 17879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17879With loss 0.1267430099331721
epoch: 17880
Epoch 17880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17880With loss 0.1267430099331721
epoch: 17881
Epoch 17881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17881With loss 0.1267430099331721
epoch: 17882
Epoch 17882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17882With loss 0.1267430099331721
epoch: 17883
Epoch 17883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17883With loss 0.1267430099331721
epoch: 17884
Epoch 17884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17884With loss 0.1267430099331721
epoch: 17885
Epoch 17885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17885With loss 0.1267430099331721
epoch: 17886
Epoch 17886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17886With loss 0.1267430099331721
epoch: 17887
Epoch 17887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17887With loss 0.1267430099331721
epoch: 17888
Epoch 17888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17888With loss 0.1267430099331721
epoch: 17889
Epoch 17889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17889With loss 0.1267430099331721
epoch: 17890
Epoch 17890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17890With loss 0.1267430099331721
epoch: 17891
Epoch 17891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17891With loss 0.1267430099331721
epoch: 17892
Epoch 17892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17892With loss 0.1267430099331721
epoch: 17893
Epoch 17893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17893With loss 0.1267430099331721
epoch: 17894
Epoch 17894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17894With loss 0.1267430099331721
epoch: 17895
Epoch 17895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17895With loss 0.1267430099331721
epoch: 17896
Epoch 17896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17896With loss 0.1267430099331721
epoch: 17897
Epoch 17897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17897With loss 0.1267430099331721
epoch: 17898
Epoch 17898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17898With loss 0.1267430099331721
epoch: 17899
Epoch 17899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17899With loss 0.1267430099331721
epoch: 17900
Epoch 17900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17900With loss 0.1267430099331721
epoch: 17901
Epoch 17901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17901With loss 0.1267430099331721
epoch: 17902
Epoch 17902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17902With loss 0.1267430099331721
epoch: 17903
Epoch 17903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17903With loss 0.1267430099331721
epoch: 17904
Epoch 17904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17904With loss 0.1267430099331721
epoch: 17905
Epoch 17905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17905With loss 0.1267430099331721
epoch: 17906
Epoch 17906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17906With loss 0.1267430099331721
epoch: 17907
Epoch 17907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17907With loss 0.1267430099331721
epoch: 17908
Epoch 17908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17908With loss 0.1267430099331721
epoch: 17909
Epoch 17909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17909With loss 0.1267430099331721
epoch: 17910
Epoch 17910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17910With loss 0.1267430099331721
epoch: 17911
Epoch 17911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17911With loss 0.1267430099331721
epoch: 17912
Epoch 17912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17912With loss 0.1267430099331721
epoch: 17913
Epoch 17913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17913With loss 0.1267430099331721
epoch: 17914
Epoch 17914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17914With loss 0.1267430099331721
epoch: 17915
Epoch 17915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17915With loss 0.1267430099331721
epoch: 17916
Epoch 17916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17916With loss 0.1267430099331721
epoch: 17917
Epoch 17917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17917With loss 0.1267430099331721
epoch: 17918
Epoch 17918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17918With loss 0.1267430099331721
epoch: 17919
Epoch 17919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17919With loss 0.1267430099331721
epoch: 17920
Epoch 17920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17920With loss 0.1267430099331721
epoch: 17921
Epoch 17921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17921With loss 0.1267430099331721
epoch: 17922
Epoch 17922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17922With loss 0.1267430099331721
epoch: 17923
Epoch 17923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17923With loss 0.1267430099331721
epoch: 17924
Epoch 17924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17924With loss 0.1267430099331721
epoch: 17925
Epoch 17925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17925With loss 0.1267430099331721
epoch: 17926
Epoch 17926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17926With loss 0.1267430099331721
epoch: 17927
Epoch 17927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17927With loss 0.1267430099331721
epoch: 17928
Epoch 17928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17928With loss 0.1267430099331721
epoch: 17929
Epoch 17929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17929With loss 0.1267430099331721
epoch: 17930
Epoch 17930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17930With loss 0.1267430099331721
epoch: 17931
Epoch 17931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17931With loss 0.1267430099331721
epoch: 17932
Epoch 17932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17932With loss 0.1267430099331721
epoch: 17933
Epoch 17933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17933With loss 0.1267430099331721
epoch: 17934
Epoch 17934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17934With loss 0.1267430099331721
epoch: 17935
Epoch 17935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17935With loss 0.1267430099331721
epoch: 17936
Epoch 17936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17936With loss 0.1267430099331721
epoch: 17937
Epoch 17937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17937With loss 0.1267430099331721
epoch: 17938
Epoch 17938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17938With loss 0.1267430099331721
epoch: 17939
Epoch 17939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17939With loss 0.1267430099331721
epoch: 17940
Epoch 17940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17940With loss 0.1267430099331721
epoch: 17941
Epoch 17941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17941With loss 0.1267430099331721
epoch: 17942
Epoch 17942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17942With loss 0.1267430099331721
epoch: 17943
Epoch 17943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17943With loss 0.1267430099331721
epoch: 17944
Epoch 17944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17944With loss 0.1267430099331721
epoch: 17945
Epoch 17945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17945With loss 0.1267430099331721
epoch: 17946
Epoch 17946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17946With loss 0.1267430099331721
epoch: 17947
Epoch 17947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17947With loss 0.1267430099331721
epoch: 17948
Epoch 17948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17948With loss 0.1267430099331721
epoch: 17949
Epoch 17949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17949With loss 0.1267430099331721
epoch: 17950
Epoch 17950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17950With loss 0.1267430099331721
epoch: 17951
Epoch 17951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17951With loss 0.1267430099331721
epoch: 17952
Epoch 17952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17952With loss 0.1267430099331721
epoch: 17953
Epoch 17953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17953With loss 0.1267430099331721
epoch: 17954
Epoch 17954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17954With loss 0.1267430099331721
epoch: 17955
Epoch 17955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17955With loss 0.1267430099331721
epoch: 17956
Epoch 17956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17956With loss 0.1267430099331721
epoch: 17957
Epoch 17957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17957With loss 0.1267430099331721
epoch: 17958
Epoch 17958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17958With loss 0.1267430099331721
epoch: 17959
Epoch 17959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17959With loss 0.1267430099331721
epoch: 17960
Epoch 17960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17960With loss 0.1267430099331721
epoch: 17961
Epoch 17961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17961With loss 0.1267430099331721
epoch: 17962
Epoch 17962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17962With loss 0.1267430099331721
epoch: 17963
Epoch 17963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17963With loss 0.1267430099331721
epoch: 17964
Epoch 17964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17964With loss 0.1267430099331721
epoch: 17965
Epoch 17965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17965With loss 0.1267430099331721
epoch: 17966
Epoch 17966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17966With loss 0.1267430099331721
epoch: 17967
Epoch 17967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17967With loss 0.1267430099331721
epoch: 17968
Epoch 17968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17968With loss 0.1267430099331721
epoch: 17969
Epoch 17969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17969With loss 0.1267430099331721
epoch: 17970
Epoch 17970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17970With loss 0.1267430099331721
epoch: 17971
Epoch 17971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17971With loss 0.1267430099331721
epoch: 17972
Epoch 17972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17972With loss 0.1267430099331721
epoch: 17973
Epoch 17973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17973With loss 0.1267430099331721
epoch: 17974
Epoch 17974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17974With loss 0.1267430099331721
epoch: 17975
Epoch 17975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17975With loss 0.1267430099331721
epoch: 17976
Epoch 17976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17976With loss 0.1267430099331721
epoch: 17977
Epoch 17977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17977With loss 0.1267430099331721
epoch: 17978
Epoch 17978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17978With loss 0.1267430099331721
epoch: 17979
Epoch 17979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17979With loss 0.1267430099331721
epoch: 17980
Epoch 17980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17980With loss 0.1267430099331721
epoch: 17981
Epoch 17981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17981With loss 0.1267430099331721
epoch: 17982
Epoch 17982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17982With loss 0.1267430099331721
epoch: 17983
Epoch 17983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17983With loss 0.1267430099331721
epoch: 17984
Epoch 17984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17984With loss 0.1267430099331721
epoch: 17985
Epoch 17985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17985With loss 0.1267430099331721
epoch: 17986
Epoch 17986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17986With loss 0.1267430099331721
epoch: 17987
Epoch 17987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17987With loss 0.1267430099331721
epoch: 17988
Epoch 17988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17988With loss 0.1267430099331721
epoch: 17989
Epoch 17989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17989With loss 0.1267430099331721
epoch: 17990
Epoch 17990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17990With loss 0.1267430099331721
epoch: 17991
Epoch 17991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17991With loss 0.1267430099331721
epoch: 17992
Epoch 17992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17992With loss 0.1267430099331721
epoch: 17993
Epoch 17993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17993With loss 0.1267430099331721
epoch: 17994
Epoch 17994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17994With loss 0.1267430099331721
epoch: 17995
Epoch 17995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17995With loss 0.1267430099331721
epoch: 17996
Epoch 17996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17996With loss 0.1267430099331721
epoch: 17997
Epoch 17997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17997With loss 0.1267430099331721
epoch: 17998
Epoch 17998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17998With loss 0.1267430099331721
epoch: 17999
Epoch 17999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 17999With loss 0.1267430099331721
epoch: 18000
Epoch 18000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18000With loss 0.1267430099331721
epoch: 18001
Epoch 18001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18001With loss 0.1267430099331721
epoch: 18002
Epoch 18002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18002With loss 0.1267430099331721
epoch: 18003
Epoch 18003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18003With loss 0.1267430099331721
epoch: 18004
Epoch 18004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18004With loss 0.1267430099331721
epoch: 18005
Epoch 18005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18005With loss 0.1267430099331721
epoch: 18006
Epoch 18006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18006With loss 0.1267430099331721
epoch: 18007
Epoch 18007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18007With loss 0.1267430099331721
epoch: 18008
Epoch 18008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18008With loss 0.1267430099331721
epoch: 18009
Epoch 18009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18009With loss 0.1267430099331721
epoch: 18010
Epoch 18010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18010With loss 0.1267430099331721
epoch: 18011
Epoch 18011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18011With loss 0.1267430099331721
epoch: 18012
Epoch 18012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18012With loss 0.1267430099331721
epoch: 18013
Epoch 18013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18013With loss 0.1267430099331721
epoch: 18014
Epoch 18014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18014With loss 0.1267430099331721
epoch: 18015
Epoch 18015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18015With loss 0.1267430099331721
epoch: 18016
Epoch 18016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18016With loss 0.1267430099331721
epoch: 18017
Epoch 18017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18017With loss 0.1267430099331721
epoch: 18018
Epoch 18018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18018With loss 0.1267430099331721
epoch: 18019
Epoch 18019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18019With loss 0.1267430099331721
epoch: 18020
Epoch 18020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18020With loss 0.1267430099331721
epoch: 18021
Epoch 18021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18021With loss 0.1267430099331721
epoch: 18022
Epoch 18022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18022With loss 0.1267430099331721
epoch: 18023
Epoch 18023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18023With loss 0.1267430099331721
epoch: 18024
Epoch 18024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18024With loss 0.1267430099331721
epoch: 18025
Epoch 18025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18025With loss 0.1267430099331721
epoch: 18026
Epoch 18026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18026With loss 0.1267430099331721
epoch: 18027
Epoch 18027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18027With loss 0.1267430099331721
epoch: 18028
Epoch 18028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18028With loss 0.1267430099331721
epoch: 18029
Epoch 18029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18029With loss 0.1267430099331721
epoch: 18030
Epoch 18030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18030With loss 0.1267430099331721
epoch: 18031
Epoch 18031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18031With loss 0.1267430099331721
epoch: 18032
Epoch 18032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18032With loss 0.1267430099331721
epoch: 18033
Epoch 18033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18033With loss 0.1267430099331721
epoch: 18034
Epoch 18034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18034With loss 0.1267430099331721
epoch: 18035
Epoch 18035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18035With loss 0.1267430099331721
epoch: 18036
Epoch 18036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18036With loss 0.1267430099331721
epoch: 18037
Epoch 18037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18037With loss 0.1267430099331721
epoch: 18038
Epoch 18038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18038With loss 0.1267430099331721
epoch: 18039
Epoch 18039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18039With loss 0.1267430099331721
epoch: 18040
Epoch 18040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18040With loss 0.1267430099331721
epoch: 18041
Epoch 18041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18041With loss 0.1267430099331721
epoch: 18042
Epoch 18042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18042With loss 0.1267430099331721
epoch: 18043
Epoch 18043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18043With loss 0.1267430099331721
epoch: 18044
Epoch 18044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18044With loss 0.1267430099331721
epoch: 18045
Epoch 18045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18045With loss 0.1267430099331721
epoch: 18046
Epoch 18046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18046With loss 0.1267430099331721
epoch: 18047
Epoch 18047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18047With loss 0.1267430099331721
epoch: 18048
Epoch 18048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18048With loss 0.1267430099331721
epoch: 18049
Epoch 18049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18049With loss 0.1267430099331721
epoch: 18050
Epoch 18050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18050With loss 0.1267430099331721
epoch: 18051
Epoch 18051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18051With loss 0.1267430099331721
epoch: 18052
Epoch 18052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18052With loss 0.1267430099331721
epoch: 18053
Epoch 18053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18053With loss 0.1267430099331721
epoch: 18054
Epoch 18054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18054With loss 0.1267430099331721
epoch: 18055
Epoch 18055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18055With loss 0.1267430099331721
epoch: 18056
Epoch 18056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18056With loss 0.1267430099331721
epoch: 18057
Epoch 18057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18057With loss 0.1267430099331721
epoch: 18058
Epoch 18058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18058With loss 0.1267430099331721
epoch: 18059
Epoch 18059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18059With loss 0.1267430099331721
epoch: 18060
Epoch 18060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18060With loss 0.1267430099331721
epoch: 18061
Epoch 18061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18061With loss 0.1267430099331721
epoch: 18062
Epoch 18062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18062With loss 0.1267430099331721
epoch: 18063
Epoch 18063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18063With loss 0.1267430099331721
epoch: 18064
Epoch 18064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18064With loss 0.1267430099331721
epoch: 18065
Epoch 18065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18065With loss 0.1267430099331721
epoch: 18066
Epoch 18066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18066With loss 0.1267430099331721
epoch: 18067
Epoch 18067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18067With loss 0.1267430099331721
epoch: 18068
Epoch 18068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18068With loss 0.1267430099331721
epoch: 18069
Epoch 18069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18069With loss 0.1267430099331721
epoch: 18070
Epoch 18070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18070With loss 0.1267430099331721
epoch: 18071
Epoch 18071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18071With loss 0.1267430099331721
epoch: 18072
Epoch 18072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18072With loss 0.1267430099331721
epoch: 18073
Epoch 18073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18073With loss 0.1267430099331721
epoch: 18074
Epoch 18074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18074With loss 0.1267430099331721
epoch: 18075
Epoch 18075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18075With loss 0.1267430099331721
epoch: 18076
Epoch 18076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18076With loss 0.1267430099331721
epoch: 18077
Epoch 18077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18077With loss 0.1267430099331721
epoch: 18078
Epoch 18078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18078With loss 0.1267430099331721
epoch: 18079
Epoch 18079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18079With loss 0.1267430099331721
epoch: 18080
Epoch 18080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18080With loss 0.1267430099331721
epoch: 18081
Epoch 18081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18081With loss 0.1267430099331721
epoch: 18082
Epoch 18082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18082With loss 0.1267430099331721
epoch: 18083
Epoch 18083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18083With loss 0.1267430099331721
epoch: 18084
Epoch 18084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18084With loss 0.1267430099331721
epoch: 18085
Epoch 18085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18085With loss 0.1267430099331721
epoch: 18086
Epoch 18086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18086With loss 0.1267430099331721
epoch: 18087
Epoch 18087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18087With loss 0.1267430099331721
epoch: 18088
Epoch 18088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18088With loss 0.1267430099331721
epoch: 18089
Epoch 18089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18089With loss 0.1267430099331721
epoch: 18090
Epoch 18090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18090With loss 0.1267430099331721
epoch: 18091
Epoch 18091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18091With loss 0.1267430099331721
epoch: 18092
Epoch 18092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18092With loss 0.1267430099331721
epoch: 18093
Epoch 18093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18093With loss 0.1267430099331721
epoch: 18094
Epoch 18094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18094With loss 0.1267430099331721
epoch: 18095
Epoch 18095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18095With loss 0.1267430099331721
epoch: 18096
Epoch 18096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18096With loss 0.1267430099331721
epoch: 18097
Epoch 18097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18097With loss 0.1267430099331721
epoch: 18098
Epoch 18098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18098With loss 0.1267430099331721
epoch: 18099
Epoch 18099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18099With loss 0.1267430099331721
epoch: 18100
Epoch 18100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18100With loss 0.1267430099331721
epoch: 18101
Epoch 18101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18101With loss 0.1267430099331721
epoch: 18102
Epoch 18102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18102With loss 0.1267430099331721
epoch: 18103
Epoch 18103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18103With loss 0.1267430099331721
epoch: 18104
Epoch 18104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18104With loss 0.1267430099331721
epoch: 18105
Epoch 18105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18105With loss 0.1267430099331721
epoch: 18106
Epoch 18106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18106With loss 0.1267430099331721
epoch: 18107
Epoch 18107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18107With loss 0.1267430099331721
epoch: 18108
Epoch 18108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18108With loss 0.1267430099331721
epoch: 18109
Epoch 18109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18109With loss 0.1267430099331721
epoch: 18110
Epoch 18110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18110With loss 0.1267430099331721
epoch: 18111
Epoch 18111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18111With loss 0.1267430099331721
epoch: 18112
Epoch 18112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18112With loss 0.1267430099331721
epoch: 18113
Epoch 18113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18113With loss 0.1267430099331721
epoch: 18114
Epoch 18114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18114With loss 0.1267430099331721
epoch: 18115
Epoch 18115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18115With loss 0.1267430099331721
epoch: 18116
Epoch 18116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18116With loss 0.1267430099331721
epoch: 18117
Epoch 18117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18117With loss 0.1267430099331721
epoch: 18118
Epoch 18118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18118With loss 0.1267430099331721
epoch: 18119
Epoch 18119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18119With loss 0.1267430099331721
epoch: 18120
Epoch 18120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18120With loss 0.1267430099331721
epoch: 18121
Epoch 18121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18121With loss 0.1267430099331721
epoch: 18122
Epoch 18122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18122With loss 0.1267430099331721
epoch: 18123
Epoch 18123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18123With loss 0.1267430099331721
epoch: 18124
Epoch 18124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18124With loss 0.1267430099331721
epoch: 18125
Epoch 18125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18125With loss 0.1267430099331721
epoch: 18126
Epoch 18126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18126With loss 0.1267430099331721
epoch: 18127
Epoch 18127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18127With loss 0.1267430099331721
epoch: 18128
Epoch 18128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18128With loss 0.1267430099331721
epoch: 18129
Epoch 18129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18129With loss 0.1267430099331721
epoch: 18130
Epoch 18130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18130With loss 0.1267430099331721
epoch: 18131
Epoch 18131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18131With loss 0.1267430099331721
epoch: 18132
Epoch 18132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18132With loss 0.1267430099331721
epoch: 18133
Epoch 18133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18133With loss 0.1267430099331721
epoch: 18134
Epoch 18134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18134With loss 0.1267430099331721
epoch: 18135
Epoch 18135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18135With loss 0.1267430099331721
epoch: 18136
Epoch 18136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18136With loss 0.1267430099331721
epoch: 18137
Epoch 18137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18137With loss 0.1267430099331721
epoch: 18138
Epoch 18138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18138With loss 0.1267430099331721
epoch: 18139
Epoch 18139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18139With loss 0.1267430099331721
epoch: 18140
Epoch 18140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18140With loss 0.1267430099331721
epoch: 18141
Epoch 18141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18141With loss 0.1267430099331721
epoch: 18142
Epoch 18142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18142With loss 0.1267430099331721
epoch: 18143
Epoch 18143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18143With loss 0.1267430099331721
epoch: 18144
Epoch 18144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18144With loss 0.1267430099331721
epoch: 18145
Epoch 18145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18145With loss 0.1267430099331721
epoch: 18146
Epoch 18146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18146With loss 0.1267430099331721
epoch: 18147
Epoch 18147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18147With loss 0.1267430099331721
epoch: 18148
Epoch 18148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18148With loss 0.1267430099331721
epoch: 18149
Epoch 18149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18149With loss 0.1267430099331721
epoch: 18150
Epoch 18150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18150With loss 0.1267430099331721
epoch: 18151
Epoch 18151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18151With loss 0.1267430099331721
epoch: 18152
Epoch 18152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18152With loss 0.1267430099331721
epoch: 18153
Epoch 18153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18153With loss 0.1267430099331721
epoch: 18154
Epoch 18154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18154With loss 0.1267430099331721
epoch: 18155
Epoch 18155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18155With loss 0.1267430099331721
epoch: 18156
Epoch 18156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18156With loss 0.1267430099331721
epoch: 18157
Epoch 18157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18157With loss 0.1267430099331721
epoch: 18158
Epoch 18158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18158With loss 0.1267430099331721
epoch: 18159
Epoch 18159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18159With loss 0.1267430099331721
epoch: 18160
Epoch 18160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18160With loss 0.1267430099331721
epoch: 18161
Epoch 18161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18161With loss 0.1267430099331721
epoch: 18162
Epoch 18162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18162With loss 0.1267430099331721
epoch: 18163
Epoch 18163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18163With loss 0.1267430099331721
epoch: 18164
Epoch 18164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18164With loss 0.1267430099331721
epoch: 18165
Epoch 18165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18165With loss 0.1267430099331721
epoch: 18166
Epoch 18166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18166With loss 0.1267430099331721
epoch: 18167
Epoch 18167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18167With loss 0.1267430099331721
epoch: 18168
Epoch 18168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18168With loss 0.1267430099331721
epoch: 18169
Epoch 18169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18169With loss 0.1267430099331721
epoch: 18170
Epoch 18170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18170With loss 0.1267430099331721
epoch: 18171
Epoch 18171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18171With loss 0.1267430099331721
epoch: 18172
Epoch 18172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18172With loss 0.1267430099331721
epoch: 18173
Epoch 18173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18173With loss 0.1267430099331721
epoch: 18174
Epoch 18174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18174With loss 0.1267430099331721
epoch: 18175
Epoch 18175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18175With loss 0.1267430099331721
epoch: 18176
Epoch 18176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18176With loss 0.1267430099331721
epoch: 18177
Epoch 18177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18177With loss 0.1267430099331721
epoch: 18178
Epoch 18178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18178With loss 0.1267430099331721
epoch: 18179
Epoch 18179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18179With loss 0.1267430099331721
epoch: 18180
Epoch 18180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18180With loss 0.1267430099331721
epoch: 18181
Epoch 18181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18181With loss 0.1267430099331721
epoch: 18182
Epoch 18182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18182With loss 0.1267430099331721
epoch: 18183
Epoch 18183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18183With loss 0.1267430099331721
epoch: 18184
Epoch 18184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18184With loss 0.1267430099331721
epoch: 18185
Epoch 18185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18185With loss 0.1267430099331721
epoch: 18186
Epoch 18186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18186With loss 0.1267430099331721
epoch: 18187
Epoch 18187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18187With loss 0.1267430099331721
epoch: 18188
Epoch 18188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18188With loss 0.1267430099331721
epoch: 18189
Epoch 18189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18189With loss 0.1267430099331721
epoch: 18190
Epoch 18190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18190With loss 0.1267430099331721
epoch: 18191
Epoch 18191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18191With loss 0.1267430099331721
epoch: 18192
Epoch 18192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18192With loss 0.1267430099331721
epoch: 18193
Epoch 18193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18193With loss 0.1267430099331721
epoch: 18194
Epoch 18194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18194With loss 0.1267430099331721
epoch: 18195
Epoch 18195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18195With loss 0.1267430099331721
epoch: 18196
Epoch 18196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18196With loss 0.1267430099331721
epoch: 18197
Epoch 18197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18197With loss 0.1267430099331721
epoch: 18198
Epoch 18198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18198With loss 0.1267430099331721
epoch: 18199
Epoch 18199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18199With loss 0.1267430099331721
epoch: 18200
Epoch 18200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18200With loss 0.1267430099331721
epoch: 18201
Epoch 18201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18201With loss 0.1267430099331721
epoch: 18202
Epoch 18202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18202With loss 0.1267430099331721
epoch: 18203
Epoch 18203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18203With loss 0.1267430099331721
epoch: 18204
Epoch 18204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18204With loss 0.1267430099331721
epoch: 18205
Epoch 18205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18205With loss 0.1267430099331721
epoch: 18206
Epoch 18206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18206With loss 0.1267430099331721
epoch: 18207
Epoch 18207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18207With loss 0.1267430099331721
epoch: 18208
Epoch 18208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18208With loss 0.1267430099331721
epoch: 18209
Epoch 18209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18209With loss 0.1267430099331721
epoch: 18210
Epoch 18210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18210With loss 0.1267430099331721
epoch: 18211
Epoch 18211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18211With loss 0.1267430099331721
epoch: 18212
Epoch 18212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18212With loss 0.1267430099331721
epoch: 18213
Epoch 18213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18213With loss 0.1267430099331721
epoch: 18214
Epoch 18214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18214With loss 0.1267430099331721
epoch: 18215
Epoch 18215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18215With loss 0.1267430099331721
epoch: 18216
Epoch 18216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18216With loss 0.1267430099331721
epoch: 18217
Epoch 18217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18217With loss 0.1267430099331721
epoch: 18218
Epoch 18218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18218With loss 0.1267430099331721
epoch: 18219
Epoch 18219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18219With loss 0.1267430099331721
epoch: 18220
Epoch 18220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18220With loss 0.1267430099331721
epoch: 18221
Epoch 18221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18221With loss 0.1267430099331721
epoch: 18222
Epoch 18222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18222With loss 0.1267430099331721
epoch: 18223
Epoch 18223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18223With loss 0.1267430099331721
epoch: 18224
Epoch 18224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18224With loss 0.1267430099331721
epoch: 18225
Epoch 18225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18225With loss 0.1267430099331721
epoch: 18226
Epoch 18226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18226With loss 0.1267430099331721
epoch: 18227
Epoch 18227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18227With loss 0.1267430099331721
epoch: 18228
Epoch 18228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18228With loss 0.1267430099331721
epoch: 18229
Epoch 18229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18229With loss 0.1267430099331721
epoch: 18230
Epoch 18230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18230With loss 0.1267430099331721
epoch: 18231
Epoch 18231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18231With loss 0.1267430099331721
epoch: 18232
Epoch 18232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18232With loss 0.1267430099331721
epoch: 18233
Epoch 18233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18233With loss 0.1267430099331721
epoch: 18234
Epoch 18234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18234With loss 0.1267430099331721
epoch: 18235
Epoch 18235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18235With loss 0.1267430099331721
epoch: 18236
Epoch 18236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18236With loss 0.1267430099331721
epoch: 18237
Epoch 18237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18237With loss 0.1267430099331721
epoch: 18238
Epoch 18238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18238With loss 0.1267430099331721
epoch: 18239
Epoch 18239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18239With loss 0.1267430099331721
epoch: 18240
Epoch 18240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18240With loss 0.1267430099331721
epoch: 18241
Epoch 18241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18241With loss 0.1267430099331721
epoch: 18242
Epoch 18242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18242With loss 0.1267430099331721
epoch: 18243
Epoch 18243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18243With loss 0.1267430099331721
epoch: 18244
Epoch 18244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18244With loss 0.1267430099331721
epoch: 18245
Epoch 18245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18245With loss 0.1267430099331721
epoch: 18246
Epoch 18246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18246With loss 0.1267430099331721
epoch: 18247
Epoch 18247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18247With loss 0.1267430099331721
epoch: 18248
Epoch 18248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18248With loss 0.1267430099331721
epoch: 18249
Epoch 18249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18249With loss 0.1267430099331721
epoch: 18250
Epoch 18250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18250With loss 0.1267430099331721
epoch: 18251
Epoch 18251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18251With loss 0.1267430099331721
epoch: 18252
Epoch 18252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18252With loss 0.1267430099331721
epoch: 18253
Epoch 18253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18253With loss 0.1267430099331721
epoch: 18254
Epoch 18254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18254With loss 0.1267430099331721
epoch: 18255
Epoch 18255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18255With loss 0.1267430099331721
epoch: 18256
Epoch 18256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18256With loss 0.1267430099331721
epoch: 18257
Epoch 18257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18257With loss 0.1267430099331721
epoch: 18258
Epoch 18258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18258With loss 0.1267430099331721
epoch: 18259
Epoch 18259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18259With loss 0.1267430099331721
epoch: 18260
Epoch 18260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18260With loss 0.1267430099331721
epoch: 18261
Epoch 18261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18261With loss 0.1267430099331721
epoch: 18262
Epoch 18262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18262With loss 0.1267430099331721
epoch: 18263
Epoch 18263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18263With loss 0.1267430099331721
epoch: 18264
Epoch 18264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18264With loss 0.1267430099331721
epoch: 18265
Epoch 18265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18265With loss 0.1267430099331721
epoch: 18266
Epoch 18266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18266With loss 0.1267430099331721
epoch: 18267
Epoch 18267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18267With loss 0.1267430099331721
epoch: 18268
Epoch 18268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18268With loss 0.1267430099331721
epoch: 18269
Epoch 18269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18269With loss 0.1267430099331721
epoch: 18270
Epoch 18270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18270With loss 0.1267430099331721
epoch: 18271
Epoch 18271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18271With loss 0.1267430099331721
epoch: 18272
Epoch 18272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18272With loss 0.1267430099331721
epoch: 18273
Epoch 18273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18273With loss 0.1267430099331721
epoch: 18274
Epoch 18274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18274With loss 0.1267430099331721
epoch: 18275
Epoch 18275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18275With loss 0.1267430099331721
epoch: 18276
Epoch 18276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18276With loss 0.1267430099331721
epoch: 18277
Epoch 18277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18277With loss 0.1267430099331721
epoch: 18278
Epoch 18278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18278With loss 0.1267430099331721
epoch: 18279
Epoch 18279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18279With loss 0.1267430099331721
epoch: 18280
Epoch 18280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18280With loss 0.1267430099331721
epoch: 18281
Epoch 18281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18281With loss 0.1267430099331721
epoch: 18282
Epoch 18282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18282With loss 0.1267430099331721
epoch: 18283
Epoch 18283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18283With loss 0.1267430099331721
epoch: 18284
Epoch 18284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18284With loss 0.1267430099331721
epoch: 18285
Epoch 18285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18285With loss 0.1267430099331721
epoch: 18286
Epoch 18286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18286With loss 0.1267430099331721
epoch: 18287
Epoch 18287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18287With loss 0.1267430099331721
epoch: 18288
Epoch 18288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18288With loss 0.1267430099331721
epoch: 18289
Epoch 18289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18289With loss 0.1267430099331721
epoch: 18290
Epoch 18290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18290With loss 0.1267430099331721
epoch: 18291
Epoch 18291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18291With loss 0.1267430099331721
epoch: 18292
Epoch 18292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18292With loss 0.1267430099331721
epoch: 18293
Epoch 18293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18293With loss 0.1267430099331721
epoch: 18294
Epoch 18294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18294With loss 0.1267430099331721
epoch: 18295
Epoch 18295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18295With loss 0.1267430099331721
epoch: 18296
Epoch 18296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18296With loss 0.1267430099331721
epoch: 18297
Epoch 18297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18297With loss 0.1267430099331721
epoch: 18298
Epoch 18298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18298With loss 0.1267430099331721
epoch: 18299
Epoch 18299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18299With loss 0.1267430099331721
epoch: 18300
Epoch 18300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18300With loss 0.1267430099331721
epoch: 18301
Epoch 18301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18301With loss 0.1267430099331721
epoch: 18302
Epoch 18302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18302With loss 0.1267430099331721
epoch: 18303
Epoch 18303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18303With loss 0.1267430099331721
epoch: 18304
Epoch 18304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18304With loss 0.1267430099331721
epoch: 18305
Epoch 18305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18305With loss 0.1267430099331721
epoch: 18306
Epoch 18306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18306With loss 0.1267430099331721
epoch: 18307
Epoch 18307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18307With loss 0.1267430099331721
epoch: 18308
Epoch 18308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18308With loss 0.1267430099331721
epoch: 18309
Epoch 18309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18309With loss 0.1267430099331721
epoch: 18310
Epoch 18310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18310With loss 0.1267430099331721
epoch: 18311
Epoch 18311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18311With loss 0.1267430099331721
epoch: 18312
Epoch 18312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18312With loss 0.1267430099331721
epoch: 18313
Epoch 18313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18313With loss 0.1267430099331721
epoch: 18314
Epoch 18314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18314With loss 0.1267430099331721
epoch: 18315
Epoch 18315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18315With loss 0.1267430099331721
epoch: 18316
Epoch 18316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18316With loss 0.1267430099331721
epoch: 18317
Epoch 18317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18317With loss 0.1267430099331721
epoch: 18318
Epoch 18318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18318With loss 0.1267430099331721
epoch: 18319
Epoch 18319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18319With loss 0.1267430099331721
epoch: 18320
Epoch 18320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18320With loss 0.1267430099331721
epoch: 18321
Epoch 18321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18321With loss 0.1267430099331721
epoch: 18322
Epoch 18322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18322With loss 0.1267430099331721
epoch: 18323
Epoch 18323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18323With loss 0.1267430099331721
epoch: 18324
Epoch 18324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18324With loss 0.1267430099331721
epoch: 18325
Epoch 18325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18325With loss 0.1267430099331721
epoch: 18326
Epoch 18326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18326With loss 0.1267430099331721
epoch: 18327
Epoch 18327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18327With loss 0.1267430099331721
epoch: 18328
Epoch 18328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18328With loss 0.1267430099331721
epoch: 18329
Epoch 18329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18329With loss 0.1267430099331721
epoch: 18330
Epoch 18330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18330With loss 0.1267430099331721
epoch: 18331
Epoch 18331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18331With loss 0.1267430099331721
epoch: 18332
Epoch 18332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18332With loss 0.1267430099331721
epoch: 18333
Epoch 18333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18333With loss 0.1267430099331721
epoch: 18334
Epoch 18334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18334With loss 0.1267430099331721
epoch: 18335
Epoch 18335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18335With loss 0.1267430099331721
epoch: 18336
Epoch 18336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18336With loss 0.1267430099331721
epoch: 18337
Epoch 18337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18337With loss 0.1267430099331721
epoch: 18338
Epoch 18338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18338With loss 0.1267430099331721
epoch: 18339
Epoch 18339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18339With loss 0.1267430099331721
epoch: 18340
Epoch 18340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18340With loss 0.1267430099331721
epoch: 18341
Epoch 18341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18341With loss 0.1267430099331721
epoch: 18342
Epoch 18342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18342With loss 0.1267430099331721
epoch: 18343
Epoch 18343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18343With loss 0.1267430099331721
epoch: 18344
Epoch 18344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18344With loss 0.1267430099331721
epoch: 18345
Epoch 18345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18345With loss 0.1267430099331721
epoch: 18346
Epoch 18346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18346With loss 0.1267430099331721
epoch: 18347
Epoch 18347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18347With loss 0.1267430099331721
epoch: 18348
Epoch 18348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18348With loss 0.1267430099331721
epoch: 18349
Epoch 18349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18349With loss 0.1267430099331721
epoch: 18350
Epoch 18350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18350With loss 0.1267430099331721
epoch: 18351
Epoch 18351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18351With loss 0.1267430099331721
epoch: 18352
Epoch 18352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18352With loss 0.1267430099331721
epoch: 18353
Epoch 18353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18353With loss 0.1267430099331721
epoch: 18354
Epoch 18354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18354With loss 0.1267430099331721
epoch: 18355
Epoch 18355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18355With loss 0.1267430099331721
epoch: 18356
Epoch 18356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18356With loss 0.1267430099331721
epoch: 18357
Epoch 18357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18357With loss 0.1267430099331721
epoch: 18358
Epoch 18358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18358With loss 0.1267430099331721
epoch: 18359
Epoch 18359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18359With loss 0.1267430099331721
epoch: 18360
Epoch 18360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18360With loss 0.1267430099331721
epoch: 18361
Epoch 18361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18361With loss 0.1267430099331721
epoch: 18362
Epoch 18362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18362With loss 0.1267430099331721
epoch: 18363
Epoch 18363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18363With loss 0.1267430099331721
epoch: 18364
Epoch 18364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18364With loss 0.1267430099331721
epoch: 18365
Epoch 18365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18365With loss 0.1267430099331721
epoch: 18366
Epoch 18366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18366With loss 0.1267430099331721
epoch: 18367
Epoch 18367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18367With loss 0.1267430099331721
epoch: 18368
Epoch 18368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18368With loss 0.1267430099331721
epoch: 18369
Epoch 18369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18369With loss 0.1267430099331721
epoch: 18370
Epoch 18370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18370With loss 0.1267430099331721
epoch: 18371
Epoch 18371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18371With loss 0.1267430099331721
epoch: 18372
Epoch 18372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18372With loss 0.1267430099331721
epoch: 18373
Epoch 18373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18373With loss 0.1267430099331721
epoch: 18374
Epoch 18374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18374With loss 0.1267430099331721
epoch: 18375
Epoch 18375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18375With loss 0.1267430099331721
epoch: 18376
Epoch 18376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18376With loss 0.1267430099331721
epoch: 18377
Epoch 18377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18377With loss 0.1267430099331721
epoch: 18378
Epoch 18378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18378With loss 0.1267430099331721
epoch: 18379
Epoch 18379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18379With loss 0.1267430099331721
epoch: 18380
Epoch 18380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18380With loss 0.1267430099331721
epoch: 18381
Epoch 18381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18381With loss 0.1267430099331721
epoch: 18382
Epoch 18382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18382With loss 0.1267430099331721
epoch: 18383
Epoch 18383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18383With loss 0.1267430099331721
epoch: 18384
Epoch 18384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18384With loss 0.1267430099331721
epoch: 18385
Epoch 18385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18385With loss 0.1267430099331721
epoch: 18386
Epoch 18386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18386With loss 0.1267430099331721
epoch: 18387
Epoch 18387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18387With loss 0.1267430099331721
epoch: 18388
Epoch 18388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18388With loss 0.1267430099331721
epoch: 18389
Epoch 18389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18389With loss 0.1267430099331721
epoch: 18390
Epoch 18390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18390With loss 0.1267430099331721
epoch: 18391
Epoch 18391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18391With loss 0.1267430099331721
epoch: 18392
Epoch 18392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18392With loss 0.1267430099331721
epoch: 18393
Epoch 18393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18393With loss 0.1267430099331721
epoch: 18394
Epoch 18394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18394With loss 0.1267430099331721
epoch: 18395
Epoch 18395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18395With loss 0.1267430099331721
epoch: 18396
Epoch 18396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18396With loss 0.1267430099331721
epoch: 18397
Epoch 18397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18397With loss 0.1267430099331721
epoch: 18398
Epoch 18398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18398With loss 0.1267430099331721
epoch: 18399
Epoch 18399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18399With loss 0.1267430099331721
epoch: 18400
Epoch 18400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18400With loss 0.1267430099331721
epoch: 18401
Epoch 18401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18401With loss 0.1267430099331721
epoch: 18402
Epoch 18402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18402With loss 0.1267430099331721
epoch: 18403
Epoch 18403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18403With loss 0.1267430099331721
epoch: 18404
Epoch 18404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18404With loss 0.1267430099331721
epoch: 18405
Epoch 18405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18405With loss 0.1267430099331721
epoch: 18406
Epoch 18406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18406With loss 0.1267430099331721
epoch: 18407
Epoch 18407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18407With loss 0.1267430099331721
epoch: 18408
Epoch 18408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18408With loss 0.1267430099331721
epoch: 18409
Epoch 18409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18409With loss 0.1267430099331721
epoch: 18410
Epoch 18410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18410With loss 0.1267430099331721
epoch: 18411
Epoch 18411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18411With loss 0.1267430099331721
epoch: 18412
Epoch 18412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18412With loss 0.1267430099331721
epoch: 18413
Epoch 18413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18413With loss 0.1267430099331721
epoch: 18414
Epoch 18414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18414With loss 0.1267430099331721
epoch: 18415
Epoch 18415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18415With loss 0.1267430099331721
epoch: 18416
Epoch 18416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18416With loss 0.1267430099331721
epoch: 18417
Epoch 18417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18417With loss 0.1267430099331721
epoch: 18418
Epoch 18418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18418With loss 0.1267430099331721
epoch: 18419
Epoch 18419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18419With loss 0.1267430099331721
epoch: 18420
Epoch 18420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18420With loss 0.1267430099331721
epoch: 18421
Epoch 18421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18421With loss 0.1267430099331721
epoch: 18422
Epoch 18422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18422With loss 0.1267430099331721
epoch: 18423
Epoch 18423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18423With loss 0.1267430099331721
epoch: 18424
Epoch 18424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18424With loss 0.1267430099331721
epoch: 18425
Epoch 18425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18425With loss 0.1267430099331721
epoch: 18426
Epoch 18426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18426With loss 0.1267430099331721
epoch: 18427
Epoch 18427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18427With loss 0.1267430099331721
epoch: 18428
Epoch 18428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18428With loss 0.1267430099331721
epoch: 18429
Epoch 18429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18429With loss 0.1267430099331721
epoch: 18430
Epoch 18430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18430With loss 0.1267430099331721
epoch: 18431
Epoch 18431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18431With loss 0.1267430099331721
epoch: 18432
Epoch 18432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18432With loss 0.1267430099331721
epoch: 18433
Epoch 18433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18433With loss 0.1267430099331721
epoch: 18434
Epoch 18434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18434With loss 0.1267430099331721
epoch: 18435
Epoch 18435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18435With loss 0.1267430099331721
epoch: 18436
Epoch 18436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18436With loss 0.1267430099331721
epoch: 18437
Epoch 18437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18437With loss 0.1267430099331721
epoch: 18438
Epoch 18438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18438With loss 0.1267430099331721
epoch: 18439
Epoch 18439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18439With loss 0.1267430099331721
epoch: 18440
Epoch 18440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18440With loss 0.1267430099331721
epoch: 18441
Epoch 18441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18441With loss 0.1267430099331721
epoch: 18442
Epoch 18442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18442With loss 0.1267430099331721
epoch: 18443
Epoch 18443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18443With loss 0.1267430099331721
epoch: 18444
Epoch 18444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18444With loss 0.1267430099331721
epoch: 18445
Epoch 18445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18445With loss 0.1267430099331721
epoch: 18446
Epoch 18446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18446With loss 0.1267430099331721
epoch: 18447
Epoch 18447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18447With loss 0.1267430099331721
epoch: 18448
Epoch 18448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18448With loss 0.1267430099331721
epoch: 18449
Epoch 18449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18449With loss 0.1267430099331721
epoch: 18450
Epoch 18450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18450With loss 0.1267430099331721
epoch: 18451
Epoch 18451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18451With loss 0.1267430099331721
epoch: 18452
Epoch 18452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18452With loss 0.1267430099331721
epoch: 18453
Epoch 18453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18453With loss 0.1267430099331721
epoch: 18454
Epoch 18454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18454With loss 0.1267430099331721
epoch: 18455
Epoch 18455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18455With loss 0.1267430099331721
epoch: 18456
Epoch 18456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18456With loss 0.1267430099331721
epoch: 18457
Epoch 18457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18457With loss 0.1267430099331721
epoch: 18458
Epoch 18458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18458With loss 0.1267430099331721
epoch: 18459
Epoch 18459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18459With loss 0.1267430099331721
epoch: 18460
Epoch 18460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18460With loss 0.1267430099331721
epoch: 18461
Epoch 18461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18461With loss 0.1267430099331721
epoch: 18462
Epoch 18462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18462With loss 0.1267430099331721
epoch: 18463
Epoch 18463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18463With loss 0.1267430099331721
epoch: 18464
Epoch 18464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18464With loss 0.1267430099331721
epoch: 18465
Epoch 18465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18465With loss 0.1267430099331721
epoch: 18466
Epoch 18466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18466With loss 0.1267430099331721
epoch: 18467
Epoch 18467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18467With loss 0.1267430099331721
epoch: 18468
Epoch 18468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18468With loss 0.1267430099331721
epoch: 18469
Epoch 18469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18469With loss 0.1267430099331721
epoch: 18470
Epoch 18470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18470With loss 0.1267430099331721
epoch: 18471
Epoch 18471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18471With loss 0.1267430099331721
epoch: 18472
Epoch 18472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18472With loss 0.1267430099331721
epoch: 18473
Epoch 18473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18473With loss 0.1267430099331721
epoch: 18474
Epoch 18474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18474With loss 0.1267430099331721
epoch: 18475
Epoch 18475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18475With loss 0.1267430099331721
epoch: 18476
Epoch 18476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18476With loss 0.1267430099331721
epoch: 18477
Epoch 18477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18477With loss 0.1267430099331721
epoch: 18478
Epoch 18478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18478With loss 0.1267430099331721
epoch: 18479
Epoch 18479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18479With loss 0.1267430099331721
epoch: 18480
Epoch 18480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18480With loss 0.1267430099331721
epoch: 18481
Epoch 18481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18481With loss 0.1267430099331721
epoch: 18482
Epoch 18482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18482With loss 0.1267430099331721
epoch: 18483
Epoch 18483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18483With loss 0.1267430099331721
epoch: 18484
Epoch 18484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18484With loss 0.1267430099331721
epoch: 18485
Epoch 18485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18485With loss 0.1267430099331721
epoch: 18486
Epoch 18486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18486With loss 0.1267430099331721
epoch: 18487
Epoch 18487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18487With loss 0.1267430099331721
epoch: 18488
Epoch 18488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18488With loss 0.1267430099331721
epoch: 18489
Epoch 18489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18489With loss 0.1267430099331721
epoch: 18490
Epoch 18490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18490With loss 0.1267430099331721
epoch: 18491
Epoch 18491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18491With loss 0.1267430099331721
epoch: 18492
Epoch 18492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18492With loss 0.1267430099331721
epoch: 18493
Epoch 18493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18493With loss 0.1267430099331721
epoch: 18494
Epoch 18494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18494With loss 0.1267430099331721
epoch: 18495
Epoch 18495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18495With loss 0.1267430099331721
epoch: 18496
Epoch 18496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18496With loss 0.1267430099331721
epoch: 18497
Epoch 18497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18497With loss 0.1267430099331721
epoch: 18498
Epoch 18498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18498With loss 0.1267430099331721
epoch: 18499
Epoch 18499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18499With loss 0.1267430099331721
epoch: 18500
Epoch 18500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18500With loss 0.1267430099331721
epoch: 18501
Epoch 18501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18501With loss 0.1267430099331721
epoch: 18502
Epoch 18502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18502With loss 0.1267430099331721
epoch: 18503
Epoch 18503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18503With loss 0.1267430099331721
epoch: 18504
Epoch 18504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18504With loss 0.1267430099331721
epoch: 18505
Epoch 18505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18505With loss 0.1267430099331721
epoch: 18506
Epoch 18506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18506With loss 0.1267430099331721
epoch: 18507
Epoch 18507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18507With loss 0.1267430099331721
epoch: 18508
Epoch 18508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18508With loss 0.1267430099331721
epoch: 18509
Epoch 18509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18509With loss 0.1267430099331721
epoch: 18510
Epoch 18510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18510With loss 0.1267430099331721
epoch: 18511
Epoch 18511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18511With loss 0.1267430099331721
epoch: 18512
Epoch 18512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18512With loss 0.1267430099331721
epoch: 18513
Epoch 18513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18513With loss 0.1267430099331721
epoch: 18514
Epoch 18514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18514With loss 0.1267430099331721
epoch: 18515
Epoch 18515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18515With loss 0.1267430099331721
epoch: 18516
Epoch 18516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18516With loss 0.1267430099331721
epoch: 18517
Epoch 18517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18517With loss 0.1267430099331721
epoch: 18518
Epoch 18518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18518With loss 0.1267430099331721
epoch: 18519
Epoch 18519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18519With loss 0.1267430099331721
epoch: 18520
Epoch 18520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18520With loss 0.1267430099331721
epoch: 18521
Epoch 18521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18521With loss 0.1267430099331721
epoch: 18522
Epoch 18522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18522With loss 0.1267430099331721
epoch: 18523
Epoch 18523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18523With loss 0.1267430099331721
epoch: 18524
Epoch 18524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18524With loss 0.1267430099331721
epoch: 18525
Epoch 18525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18525With loss 0.1267430099331721
epoch: 18526
Epoch 18526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18526With loss 0.1267430099331721
epoch: 18527
Epoch 18527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18527With loss 0.1267430099331721
epoch: 18528
Epoch 18528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18528With loss 0.1267430099331721
epoch: 18529
Epoch 18529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18529With loss 0.1267430099331721
epoch: 18530
Epoch 18530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18530With loss 0.1267430099331721
epoch: 18531
Epoch 18531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18531With loss 0.1267430099331721
epoch: 18532
Epoch 18532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18532With loss 0.1267430099331721
epoch: 18533
Epoch 18533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18533With loss 0.1267430099331721
epoch: 18534
Epoch 18534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18534With loss 0.1267430099331721
epoch: 18535
Epoch 18535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18535With loss 0.1267430099331721
epoch: 18536
Epoch 18536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18536With loss 0.1267430099331721
epoch: 18537
Epoch 18537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18537With loss 0.1267430099331721
epoch: 18538
Epoch 18538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18538With loss 0.1267430099331721
epoch: 18539
Epoch 18539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18539With loss 0.1267430099331721
epoch: 18540
Epoch 18540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18540With loss 0.1267430099331721
epoch: 18541
Epoch 18541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18541With loss 0.1267430099331721
epoch: 18542
Epoch 18542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18542With loss 0.1267430099331721
epoch: 18543
Epoch 18543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18543With loss 0.1267430099331721
epoch: 18544
Epoch 18544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18544With loss 0.1267430099331721
epoch: 18545
Epoch 18545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18545With loss 0.1267430099331721
epoch: 18546
Epoch 18546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18546With loss 0.1267430099331721
epoch: 18547
Epoch 18547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18547With loss 0.1267430099331721
epoch: 18548
Epoch 18548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18548With loss 0.1267430099331721
epoch: 18549
Epoch 18549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18549With loss 0.1267430099331721
epoch: 18550
Epoch 18550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18550With loss 0.1267430099331721
epoch: 18551
Epoch 18551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18551With loss 0.1267430099331721
epoch: 18552
Epoch 18552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18552With loss 0.1267430099331721
epoch: 18553
Epoch 18553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18553With loss 0.1267430099331721
epoch: 18554
Epoch 18554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18554With loss 0.1267430099331721
epoch: 18555
Epoch 18555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18555With loss 0.1267430099331721
epoch: 18556
Epoch 18556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18556With loss 0.1267430099331721
epoch: 18557
Epoch 18557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18557With loss 0.1267430099331721
epoch: 18558
Epoch 18558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18558With loss 0.1267430099331721
epoch: 18559
Epoch 18559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18559With loss 0.1267430099331721
epoch: 18560
Epoch 18560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18560With loss 0.1267430099331721
epoch: 18561
Epoch 18561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18561With loss 0.1267430099331721
epoch: 18562
Epoch 18562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18562With loss 0.1267430099331721
epoch: 18563
Epoch 18563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18563With loss 0.1267430099331721
epoch: 18564
Epoch 18564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18564With loss 0.1267430099331721
epoch: 18565
Epoch 18565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18565With loss 0.1267430099331721
epoch: 18566
Epoch 18566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18566With loss 0.1267430099331721
epoch: 18567
Epoch 18567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18567With loss 0.1267430099331721
epoch: 18568
Epoch 18568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18568With loss 0.1267430099331721
epoch: 18569
Epoch 18569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18569With loss 0.1267430099331721
epoch: 18570
Epoch 18570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18570With loss 0.1267430099331721
epoch: 18571
Epoch 18571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18571With loss 0.1267430099331721
epoch: 18572
Epoch 18572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18572With loss 0.1267430099331721
epoch: 18573
Epoch 18573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18573With loss 0.1267430099331721
epoch: 18574
Epoch 18574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18574With loss 0.1267430099331721
epoch: 18575
Epoch 18575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18575With loss 0.1267430099331721
epoch: 18576
Epoch 18576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18576With loss 0.1267430099331721
epoch: 18577
Epoch 18577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18577With loss 0.1267430099331721
epoch: 18578
Epoch 18578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18578With loss 0.1267430099331721
epoch: 18579
Epoch 18579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18579With loss 0.1267430099331721
epoch: 18580
Epoch 18580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18580With loss 0.1267430099331721
epoch: 18581
Epoch 18581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18581With loss 0.1267430099331721
epoch: 18582
Epoch 18582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18582With loss 0.1267430099331721
epoch: 18583
Epoch 18583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18583With loss 0.1267430099331721
epoch: 18584
Epoch 18584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18584With loss 0.1267430099331721
epoch: 18585
Epoch 18585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18585With loss 0.1267430099331721
epoch: 18586
Epoch 18586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18586With loss 0.1267430099331721
epoch: 18587
Epoch 18587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18587With loss 0.1267430099331721
epoch: 18588
Epoch 18588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18588With loss 0.1267430099331721
epoch: 18589
Epoch 18589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18589With loss 0.1267430099331721
epoch: 18590
Epoch 18590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18590With loss 0.1267430099331721
epoch: 18591
Epoch 18591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18591With loss 0.1267430099331721
epoch: 18592
Epoch 18592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18592With loss 0.1267430099331721
epoch: 18593
Epoch 18593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18593With loss 0.1267430099331721
epoch: 18594
Epoch 18594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18594With loss 0.1267430099331721
epoch: 18595
Epoch 18595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18595With loss 0.1267430099331721
epoch: 18596
Epoch 18596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18596With loss 0.1267430099331721
epoch: 18597
Epoch 18597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18597With loss 0.1267430099331721
epoch: 18598
Epoch 18598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18598With loss 0.1267430099331721
epoch: 18599
Epoch 18599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18599With loss 0.1267430099331721
epoch: 18600
Epoch 18600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18600With loss 0.1267430099331721
epoch: 18601
Epoch 18601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18601With loss 0.1267430099331721
epoch: 18602
Epoch 18602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18602With loss 0.1267430099331721
epoch: 18603
Epoch 18603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18603With loss 0.1267430099331721
epoch: 18604
Epoch 18604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18604With loss 0.1267430099331721
epoch: 18605
Epoch 18605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18605With loss 0.1267430099331721
epoch: 18606
Epoch 18606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18606With loss 0.1267430099331721
epoch: 18607
Epoch 18607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18607With loss 0.1267430099331721
epoch: 18608
Epoch 18608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18608With loss 0.1267430099331721
epoch: 18609
Epoch 18609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18609With loss 0.1267430099331721
epoch: 18610
Epoch 18610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18610With loss 0.1267430099331721
epoch: 18611
Epoch 18611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18611With loss 0.1267430099331721
epoch: 18612
Epoch 18612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18612With loss 0.1267430099331721
epoch: 18613
Epoch 18613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18613With loss 0.1267430099331721
epoch: 18614
Epoch 18614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18614With loss 0.1267430099331721
epoch: 18615
Epoch 18615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18615With loss 0.1267430099331721
epoch: 18616
Epoch 18616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18616With loss 0.1267430099331721
epoch: 18617
Epoch 18617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18617With loss 0.1267430099331721
epoch: 18618
Epoch 18618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18618With loss 0.1267430099331721
epoch: 18619
Epoch 18619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18619With loss 0.1267430099331721
epoch: 18620
Epoch 18620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18620With loss 0.1267430099331721
epoch: 18621
Epoch 18621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18621With loss 0.1267430099331721
epoch: 18622
Epoch 18622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18622With loss 0.1267430099331721
epoch: 18623
Epoch 18623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18623With loss 0.1267430099331721
epoch: 18624
Epoch 18624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18624With loss 0.1267430099331721
epoch: 18625
Epoch 18625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18625With loss 0.1267430099331721
epoch: 18626
Epoch 18626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18626With loss 0.1267430099331721
epoch: 18627
Epoch 18627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18627With loss 0.1267430099331721
epoch: 18628
Epoch 18628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18628With loss 0.1267430099331721
epoch: 18629
Epoch 18629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18629With loss 0.1267430099331721
epoch: 18630
Epoch 18630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18630With loss 0.1267430099331721
epoch: 18631
Epoch 18631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18631With loss 0.1267430099331721
epoch: 18632
Epoch 18632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18632With loss 0.1267430099331721
epoch: 18633
Epoch 18633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18633With loss 0.1267430099331721
epoch: 18634
Epoch 18634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18634With loss 0.1267430099331721
epoch: 18635
Epoch 18635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18635With loss 0.1267430099331721
epoch: 18636
Epoch 18636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18636With loss 0.1267430099331721
epoch: 18637
Epoch 18637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18637With loss 0.1267430099331721
epoch: 18638
Epoch 18638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18638With loss 0.1267430099331721
epoch: 18639
Epoch 18639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18639With loss 0.1267430099331721
epoch: 18640
Epoch 18640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18640With loss 0.1267430099331721
epoch: 18641
Epoch 18641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18641With loss 0.1267430099331721
epoch: 18642
Epoch 18642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18642With loss 0.1267430099331721
epoch: 18643
Epoch 18643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18643With loss 0.1267430099331721
epoch: 18644
Epoch 18644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18644With loss 0.1267430099331721
epoch: 18645
Epoch 18645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18645With loss 0.1267430099331721
epoch: 18646
Epoch 18646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18646With loss 0.1267430099331721
epoch: 18647
Epoch 18647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18647With loss 0.1267430099331721
epoch: 18648
Epoch 18648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18648With loss 0.1267430099331721
epoch: 18649
Epoch 18649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18649With loss 0.1267430099331721
epoch: 18650
Epoch 18650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18650With loss 0.1267430099331721
epoch: 18651
Epoch 18651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18651With loss 0.1267430099331721
epoch: 18652
Epoch 18652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18652With loss 0.1267430099331721
epoch: 18653
Epoch 18653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18653With loss 0.1267430099331721
epoch: 18654
Epoch 18654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18654With loss 0.1267430099331721
epoch: 18655
Epoch 18655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18655With loss 0.1267430099331721
epoch: 18656
Epoch 18656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18656With loss 0.1267430099331721
epoch: 18657
Epoch 18657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18657With loss 0.1267430099331721
epoch: 18658
Epoch 18658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18658With loss 0.1267430099331721
epoch: 18659
Epoch 18659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18659With loss 0.1267430099331721
epoch: 18660
Epoch 18660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18660With loss 0.1267430099331721
epoch: 18661
Epoch 18661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18661With loss 0.1267430099331721
epoch: 18662
Epoch 18662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18662With loss 0.1267430099331721
epoch: 18663
Epoch 18663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18663With loss 0.1267430099331721
epoch: 18664
Epoch 18664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18664With loss 0.1267430099331721
epoch: 18665
Epoch 18665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18665With loss 0.1267430099331721
epoch: 18666
Epoch 18666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18666With loss 0.1267430099331721
epoch: 18667
Epoch 18667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18667With loss 0.1267430099331721
epoch: 18668
Epoch 18668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18668With loss 0.1267430099331721
epoch: 18669
Epoch 18669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18669With loss 0.1267430099331721
epoch: 18670
Epoch 18670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18670With loss 0.1267430099331721
epoch: 18671
Epoch 18671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18671With loss 0.1267430099331721
epoch: 18672
Epoch 18672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18672With loss 0.1267430099331721
epoch: 18673
Epoch 18673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18673With loss 0.1267430099331721
epoch: 18674
Epoch 18674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18674With loss 0.1267430099331721
epoch: 18675
Epoch 18675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18675With loss 0.1267430099331721
epoch: 18676
Epoch 18676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18676With loss 0.1267430099331721
epoch: 18677
Epoch 18677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18677With loss 0.1267430099331721
epoch: 18678
Epoch 18678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18678With loss 0.1267430099331721
epoch: 18679
Epoch 18679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18679With loss 0.1267430099331721
epoch: 18680
Epoch 18680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18680With loss 0.1267430099331721
epoch: 18681
Epoch 18681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18681With loss 0.1267430099331721
epoch: 18682
Epoch 18682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18682With loss 0.1267430099331721
epoch: 18683
Epoch 18683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18683With loss 0.1267430099331721
epoch: 18684
Epoch 18684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18684With loss 0.1267430099331721
epoch: 18685
Epoch 18685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18685With loss 0.1267430099331721
epoch: 18686
Epoch 18686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18686With loss 0.1267430099331721
epoch: 18687
Epoch 18687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18687With loss 0.1267430099331721
epoch: 18688
Epoch 18688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18688With loss 0.1267430099331721
epoch: 18689
Epoch 18689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18689With loss 0.1267430099331721
epoch: 18690
Epoch 18690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18690With loss 0.1267430099331721
epoch: 18691
Epoch 18691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18691With loss 0.1267430099331721
epoch: 18692
Epoch 18692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18692With loss 0.1267430099331721
epoch: 18693
Epoch 18693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18693With loss 0.1267430099331721
epoch: 18694
Epoch 18694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18694With loss 0.1267430099331721
epoch: 18695
Epoch 18695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18695With loss 0.1267430099331721
epoch: 18696
Epoch 18696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18696With loss 0.1267430099331721
epoch: 18697
Epoch 18697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18697With loss 0.1267430099331721
epoch: 18698
Epoch 18698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18698With loss 0.1267430099331721
epoch: 18699
Epoch 18699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18699With loss 0.1267430099331721
epoch: 18700
Epoch 18700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18700With loss 0.1267430099331721
epoch: 18701
Epoch 18701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18701With loss 0.1267430099331721
epoch: 18702
Epoch 18702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18702With loss 0.1267430099331721
epoch: 18703
Epoch 18703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18703With loss 0.1267430099331721
epoch: 18704
Epoch 18704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18704With loss 0.1267430099331721
epoch: 18705
Epoch 18705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18705With loss 0.1267430099331721
epoch: 18706
Epoch 18706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18706With loss 0.1267430099331721
epoch: 18707
Epoch 18707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18707With loss 0.1267430099331721
epoch: 18708
Epoch 18708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18708With loss 0.1267430099331721
epoch: 18709
Epoch 18709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18709With loss 0.1267430099331721
epoch: 18710
Epoch 18710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18710With loss 0.1267430099331721
epoch: 18711
Epoch 18711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18711With loss 0.1267430099331721
epoch: 18712
Epoch 18712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18712With loss 0.1267430099331721
epoch: 18713
Epoch 18713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18713With loss 0.1267430099331721
epoch: 18714
Epoch 18714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18714With loss 0.1267430099331721
epoch: 18715
Epoch 18715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18715With loss 0.1267430099331721
epoch: 18716
Epoch 18716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18716With loss 0.1267430099331721
epoch: 18717
Epoch 18717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18717With loss 0.1267430099331721
epoch: 18718
Epoch 18718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18718With loss 0.1267430099331721
epoch: 18719
Epoch 18719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18719With loss 0.1267430099331721
epoch: 18720
Epoch 18720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18720With loss 0.1267430099331721
epoch: 18721
Epoch 18721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18721With loss 0.1267430099331721
epoch: 18722
Epoch 18722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18722With loss 0.1267430099331721
epoch: 18723
Epoch 18723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18723With loss 0.1267430099331721
epoch: 18724
Epoch 18724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18724With loss 0.1267430099331721
epoch: 18725
Epoch 18725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18725With loss 0.1267430099331721
epoch: 18726
Epoch 18726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18726With loss 0.1267430099331721
epoch: 18727
Epoch 18727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18727With loss 0.1267430099331721
epoch: 18728
Epoch 18728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18728With loss 0.1267430099331721
epoch: 18729
Epoch 18729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18729With loss 0.1267430099331721
epoch: 18730
Epoch 18730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18730With loss 0.1267430099331721
epoch: 18731
Epoch 18731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18731With loss 0.1267430099331721
epoch: 18732
Epoch 18732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18732With loss 0.1267430099331721
epoch: 18733
Epoch 18733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18733With loss 0.1267430099331721
epoch: 18734
Epoch 18734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18734With loss 0.1267430099331721
epoch: 18735
Epoch 18735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18735With loss 0.1267430099331721
epoch: 18736
Epoch 18736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18736With loss 0.1267430099331721
epoch: 18737
Epoch 18737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18737With loss 0.1267430099331721
epoch: 18738
Epoch 18738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18738With loss 0.1267430099331721
epoch: 18739
Epoch 18739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18739With loss 0.1267430099331721
epoch: 18740
Epoch 18740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18740With loss 0.1267430099331721
epoch: 18741
Epoch 18741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18741With loss 0.1267430099331721
epoch: 18742
Epoch 18742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18742With loss 0.1267430099331721
epoch: 18743
Epoch 18743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18743With loss 0.1267430099331721
epoch: 18744
Epoch 18744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18744With loss 0.1267430099331721
epoch: 18745
Epoch 18745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18745With loss 0.1267430099331721
epoch: 18746
Epoch 18746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18746With loss 0.1267430099331721
epoch: 18747
Epoch 18747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18747With loss 0.1267430099331721
epoch: 18748
Epoch 18748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18748With loss 0.1267430099331721
epoch: 18749
Epoch 18749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18749With loss 0.1267430099331721
epoch: 18750
Epoch 18750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18750With loss 0.1267430099331721
epoch: 18751
Epoch 18751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18751With loss 0.1267430099331721
epoch: 18752
Epoch 18752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18752With loss 0.1267430099331721
epoch: 18753
Epoch 18753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18753With loss 0.1267430099331721
epoch: 18754
Epoch 18754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18754With loss 0.1267430099331721
epoch: 18755
Epoch 18755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18755With loss 0.1267430099331721
epoch: 18756
Epoch 18756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18756With loss 0.1267430099331721
epoch: 18757
Epoch 18757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18757With loss 0.1267430099331721
epoch: 18758
Epoch 18758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18758With loss 0.1267430099331721
epoch: 18759
Epoch 18759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18759With loss 0.1267430099331721
epoch: 18760
Epoch 18760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18760With loss 0.1267430099331721
epoch: 18761
Epoch 18761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18761With loss 0.1267430099331721
epoch: 18762
Epoch 18762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18762With loss 0.1267430099331721
epoch: 18763
Epoch 18763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18763With loss 0.1267430099331721
epoch: 18764
Epoch 18764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18764With loss 0.1267430099331721
epoch: 18765
Epoch 18765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18765With loss 0.1267430099331721
epoch: 18766
Epoch 18766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18766With loss 0.1267430099331721
epoch: 18767
Epoch 18767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18767With loss 0.1267430099331721
epoch: 18768
Epoch 18768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18768With loss 0.1267430099331721
epoch: 18769
Epoch 18769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18769With loss 0.1267430099331721
epoch: 18770
Epoch 18770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18770With loss 0.1267430099331721
epoch: 18771
Epoch 18771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18771With loss 0.1267430099331721
epoch: 18772
Epoch 18772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18772With loss 0.1267430099331721
epoch: 18773
Epoch 18773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18773With loss 0.1267430099331721
epoch: 18774
Epoch 18774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18774With loss 0.1267430099331721
epoch: 18775
Epoch 18775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18775With loss 0.1267430099331721
epoch: 18776
Epoch 18776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18776With loss 0.1267430099331721
epoch: 18777
Epoch 18777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18777With loss 0.1267430099331721
epoch: 18778
Epoch 18778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18778With loss 0.1267430099331721
epoch: 18779
Epoch 18779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18779With loss 0.1267430099331721
epoch: 18780
Epoch 18780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18780With loss 0.1267430099331721
epoch: 18781
Epoch 18781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18781With loss 0.1267430099331721
epoch: 18782
Epoch 18782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18782With loss 0.1267430099331721
epoch: 18783
Epoch 18783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18783With loss 0.1267430099331721
epoch: 18784
Epoch 18784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18784With loss 0.1267430099331721
epoch: 18785
Epoch 18785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18785With loss 0.1267430099331721
epoch: 18786
Epoch 18786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18786With loss 0.1267430099331721
epoch: 18787
Epoch 18787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18787With loss 0.1267430099331721
epoch: 18788
Epoch 18788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18788With loss 0.1267430099331721
epoch: 18789
Epoch 18789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18789With loss 0.1267430099331721
epoch: 18790
Epoch 18790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18790With loss 0.1267430099331721
epoch: 18791
Epoch 18791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18791With loss 0.1267430099331721
epoch: 18792
Epoch 18792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18792With loss 0.1267430099331721
epoch: 18793
Epoch 18793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18793With loss 0.1267430099331721
epoch: 18794
Epoch 18794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18794With loss 0.1267430099331721
epoch: 18795
Epoch 18795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18795With loss 0.1267430099331721
epoch: 18796
Epoch 18796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18796With loss 0.1267430099331721
epoch: 18797
Epoch 18797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18797With loss 0.1267430099331721
epoch: 18798
Epoch 18798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18798With loss 0.1267430099331721
epoch: 18799
Epoch 18799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18799With loss 0.1267430099331721
epoch: 18800
Epoch 18800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18800With loss 0.1267430099331721
epoch: 18801
Epoch 18801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18801With loss 0.1267430099331721
epoch: 18802
Epoch 18802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18802With loss 0.1267430099331721
epoch: 18803
Epoch 18803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18803With loss 0.1267430099331721
epoch: 18804
Epoch 18804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18804With loss 0.1267430099331721
epoch: 18805
Epoch 18805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18805With loss 0.1267430099331721
epoch: 18806
Epoch 18806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18806With loss 0.1267430099331721
epoch: 18807
Epoch 18807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18807With loss 0.1267430099331721
epoch: 18808
Epoch 18808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18808With loss 0.1267430099331721
epoch: 18809
Epoch 18809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18809With loss 0.1267430099331721
epoch: 18810
Epoch 18810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18810With loss 0.1267430099331721
epoch: 18811
Epoch 18811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18811With loss 0.1267430099331721
epoch: 18812
Epoch 18812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18812With loss 0.1267430099331721
epoch: 18813
Epoch 18813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18813With loss 0.1267430099331721
epoch: 18814
Epoch 18814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18814With loss 0.1267430099331721
epoch: 18815
Epoch 18815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18815With loss 0.1267430099331721
epoch: 18816
Epoch 18816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18816With loss 0.1267430099331721
epoch: 18817
Epoch 18817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18817With loss 0.1267430099331721
epoch: 18818
Epoch 18818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18818With loss 0.1267430099331721
epoch: 18819
Epoch 18819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18819With loss 0.1267430099331721
epoch: 18820
Epoch 18820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18820With loss 0.1267430099331721
epoch: 18821
Epoch 18821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18821With loss 0.1267430099331721
epoch: 18822
Epoch 18822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18822With loss 0.1267430099331721
epoch: 18823
Epoch 18823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18823With loss 0.1267430099331721
epoch: 18824
Epoch 18824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18824With loss 0.1267430099331721
epoch: 18825
Epoch 18825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18825With loss 0.1267430099331721
epoch: 18826
Epoch 18826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18826With loss 0.1267430099331721
epoch: 18827
Epoch 18827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18827With loss 0.1267430099331721
epoch: 18828
Epoch 18828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18828With loss 0.1267430099331721
epoch: 18829
Epoch 18829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18829With loss 0.1267430099331721
epoch: 18830
Epoch 18830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18830With loss 0.1267430099331721
epoch: 18831
Epoch 18831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18831With loss 0.1267430099331721
epoch: 18832
Epoch 18832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18832With loss 0.1267430099331721
epoch: 18833
Epoch 18833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18833With loss 0.1267430099331721
epoch: 18834
Epoch 18834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18834With loss 0.1267430099331721
epoch: 18835
Epoch 18835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18835With loss 0.1267430099331721
epoch: 18836
Epoch 18836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18836With loss 0.1267430099331721
epoch: 18837
Epoch 18837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18837With loss 0.1267430099331721
epoch: 18838
Epoch 18838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18838With loss 0.1267430099331721
epoch: 18839
Epoch 18839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18839With loss 0.1267430099331721
epoch: 18840
Epoch 18840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18840With loss 0.1267430099331721
epoch: 18841
Epoch 18841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18841With loss 0.1267430099331721
epoch: 18842
Epoch 18842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18842With loss 0.1267430099331721
epoch: 18843
Epoch 18843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18843With loss 0.1267430099331721
epoch: 18844
Epoch 18844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18844With loss 0.1267430099331721
epoch: 18845
Epoch 18845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18845With loss 0.1267430099331721
epoch: 18846
Epoch 18846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18846With loss 0.1267430099331721
epoch: 18847
Epoch 18847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18847With loss 0.1267430099331721
epoch: 18848
Epoch 18848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18848With loss 0.1267430099331721
epoch: 18849
Epoch 18849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18849With loss 0.1267430099331721
epoch: 18850
Epoch 18850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18850With loss 0.1267430099331721
epoch: 18851
Epoch 18851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18851With loss 0.1267430099331721
epoch: 18852
Epoch 18852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18852With loss 0.1267430099331721
epoch: 18853
Epoch 18853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18853With loss 0.1267430099331721
epoch: 18854
Epoch 18854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18854With loss 0.1267430099331721
epoch: 18855
Epoch 18855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18855With loss 0.1267430099331721
epoch: 18856
Epoch 18856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18856With loss 0.1267430099331721
epoch: 18857
Epoch 18857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18857With loss 0.1267430099331721
epoch: 18858
Epoch 18858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18858With loss 0.1267430099331721
epoch: 18859
Epoch 18859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18859With loss 0.1267430099331721
epoch: 18860
Epoch 18860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18860With loss 0.1267430099331721
epoch: 18861
Epoch 18861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18861With loss 0.1267430099331721
epoch: 18862
Epoch 18862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18862With loss 0.1267430099331721
epoch: 18863
Epoch 18863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18863With loss 0.1267430099331721
epoch: 18864
Epoch 18864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18864With loss 0.1267430099331721
epoch: 18865
Epoch 18865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18865With loss 0.1267430099331721
epoch: 18866
Epoch 18866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18866With loss 0.1267430099331721
epoch: 18867
Epoch 18867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18867With loss 0.1267430099331721
epoch: 18868
Epoch 18868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18868With loss 0.1267430099331721
epoch: 18869
Epoch 18869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18869With loss 0.1267430099331721
epoch: 18870
Epoch 18870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18870With loss 0.1267430099331721
epoch: 18871
Epoch 18871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18871With loss 0.1267430099331721
epoch: 18872
Epoch 18872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18872With loss 0.1267430099331721
epoch: 18873
Epoch 18873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18873With loss 0.1267430099331721
epoch: 18874
Epoch 18874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18874With loss 0.1267430099331721
epoch: 18875
Epoch 18875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18875With loss 0.1267430099331721
epoch: 18876
Epoch 18876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18876With loss 0.1267430099331721
epoch: 18877
Epoch 18877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18877With loss 0.1267430099331721
epoch: 18878
Epoch 18878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18878With loss 0.1267430099331721
epoch: 18879
Epoch 18879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18879With loss 0.1267430099331721
epoch: 18880
Epoch 18880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18880With loss 0.1267430099331721
epoch: 18881
Epoch 18881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18881With loss 0.1267430099331721
epoch: 18882
Epoch 18882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18882With loss 0.1267430099331721
epoch: 18883
Epoch 18883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18883With loss 0.1267430099331721
epoch: 18884
Epoch 18884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18884With loss 0.1267430099331721
epoch: 18885
Epoch 18885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18885With loss 0.1267430099331721
epoch: 18886
Epoch 18886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18886With loss 0.1267430099331721
epoch: 18887
Epoch 18887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18887With loss 0.1267430099331721
epoch: 18888
Epoch 18888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18888With loss 0.1267430099331721
epoch: 18889
Epoch 18889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18889With loss 0.1267430099331721
epoch: 18890
Epoch 18890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18890With loss 0.1267430099331721
epoch: 18891
Epoch 18891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18891With loss 0.1267430099331721
epoch: 18892
Epoch 18892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18892With loss 0.1267430099331721
epoch: 18893
Epoch 18893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18893With loss 0.1267430099331721
epoch: 18894
Epoch 18894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18894With loss 0.1267430099331721
epoch: 18895
Epoch 18895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18895With loss 0.1267430099331721
epoch: 18896
Epoch 18896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18896With loss 0.1267430099331721
epoch: 18897
Epoch 18897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18897With loss 0.1267430099331721
epoch: 18898
Epoch 18898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18898With loss 0.1267430099331721
epoch: 18899
Epoch 18899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18899With loss 0.1267430099331721
epoch: 18900
Epoch 18900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18900With loss 0.1267430099331721
epoch: 18901
Epoch 18901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18901With loss 0.1267430099331721
epoch: 18902
Epoch 18902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18902With loss 0.1267430099331721
epoch: 18903
Epoch 18903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18903With loss 0.1267430099331721
epoch: 18904
Epoch 18904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18904With loss 0.1267430099331721
epoch: 18905
Epoch 18905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18905With loss 0.1267430099331721
epoch: 18906
Epoch 18906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18906With loss 0.1267430099331721
epoch: 18907
Epoch 18907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18907With loss 0.1267430099331721
epoch: 18908
Epoch 18908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18908With loss 0.1267430099331721
epoch: 18909
Epoch 18909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18909With loss 0.1267430099331721
epoch: 18910
Epoch 18910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18910With loss 0.1267430099331721
epoch: 18911
Epoch 18911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18911With loss 0.1267430099331721
epoch: 18912
Epoch 18912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18912With loss 0.1267430099331721
epoch: 18913
Epoch 18913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18913With loss 0.1267430099331721
epoch: 18914
Epoch 18914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18914With loss 0.1267430099331721
epoch: 18915
Epoch 18915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18915With loss 0.1267430099331721
epoch: 18916
Epoch 18916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18916With loss 0.1267430099331721
epoch: 18917
Epoch 18917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18917With loss 0.1267430099331721
epoch: 18918
Epoch 18918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18918With loss 0.1267430099331721
epoch: 18919
Epoch 18919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18919With loss 0.1267430099331721
epoch: 18920
Epoch 18920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18920With loss 0.1267430099331721
epoch: 18921
Epoch 18921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18921With loss 0.1267430099331721
epoch: 18922
Epoch 18922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18922With loss 0.1267430099331721
epoch: 18923
Epoch 18923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18923With loss 0.1267430099331721
epoch: 18924
Epoch 18924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18924With loss 0.1267430099331721
epoch: 18925
Epoch 18925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18925With loss 0.1267430099331721
epoch: 18926
Epoch 18926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18926With loss 0.1267430099331721
epoch: 18927
Epoch 18927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18927With loss 0.1267430099331721
epoch: 18928
Epoch 18928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18928With loss 0.1267430099331721
epoch: 18929
Epoch 18929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18929With loss 0.1267430099331721
epoch: 18930
Epoch 18930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18930With loss 0.1267430099331721
epoch: 18931
Epoch 18931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18931With loss 0.1267430099331721
epoch: 18932
Epoch 18932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18932With loss 0.1267430099331721
epoch: 18933
Epoch 18933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18933With loss 0.1267430099331721
epoch: 18934
Epoch 18934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18934With loss 0.1267430099331721
epoch: 18935
Epoch 18935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18935With loss 0.1267430099331721
epoch: 18936
Epoch 18936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18936With loss 0.1267430099331721
epoch: 18937
Epoch 18937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18937With loss 0.1267430099331721
epoch: 18938
Epoch 18938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18938With loss 0.1267430099331721
epoch: 18939
Epoch 18939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18939With loss 0.1267430099331721
epoch: 18940
Epoch 18940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18940With loss 0.1267430099331721
epoch: 18941
Epoch 18941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18941With loss 0.1267430099331721
epoch: 18942
Epoch 18942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18942With loss 0.1267430099331721
epoch: 18943
Epoch 18943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18943With loss 0.1267430099331721
epoch: 18944
Epoch 18944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18944With loss 0.1267430099331721
epoch: 18945
Epoch 18945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18945With loss 0.1267430099331721
epoch: 18946
Epoch 18946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18946With loss 0.1267430099331721
epoch: 18947
Epoch 18947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18947With loss 0.1267430099331721
epoch: 18948
Epoch 18948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18948With loss 0.1267430099331721
epoch: 18949
Epoch 18949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18949With loss 0.1267430099331721
epoch: 18950
Epoch 18950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18950With loss 0.1267430099331721
epoch: 18951
Epoch 18951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18951With loss 0.1267430099331721
epoch: 18952
Epoch 18952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18952With loss 0.1267430099331721
epoch: 18953
Epoch 18953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18953With loss 0.1267430099331721
epoch: 18954
Epoch 18954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18954With loss 0.1267430099331721
epoch: 18955
Epoch 18955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18955With loss 0.1267430099331721
epoch: 18956
Epoch 18956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18956With loss 0.1267430099331721
epoch: 18957
Epoch 18957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18957With loss 0.1267430099331721
epoch: 18958
Epoch 18958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18958With loss 0.1267430099331721
epoch: 18959
Epoch 18959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18959With loss 0.1267430099331721
epoch: 18960
Epoch 18960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18960With loss 0.1267430099331721
epoch: 18961
Epoch 18961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18961With loss 0.1267430099331721
epoch: 18962
Epoch 18962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18962With loss 0.1267430099331721
epoch: 18963
Epoch 18963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18963With loss 0.1267430099331721
epoch: 18964
Epoch 18964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18964With loss 0.1267430099331721
epoch: 18965
Epoch 18965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18965With loss 0.1267430099331721
epoch: 18966
Epoch 18966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18966With loss 0.1267430099331721
epoch: 18967
Epoch 18967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18967With loss 0.1267430099331721
epoch: 18968
Epoch 18968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18968With loss 0.1267430099331721
epoch: 18969
Epoch 18969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18969With loss 0.1267430099331721
epoch: 18970
Epoch 18970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18970With loss 0.1267430099331721
epoch: 18971
Epoch 18971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18971With loss 0.1267430099331721
epoch: 18972
Epoch 18972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18972With loss 0.1267430099331721
epoch: 18973
Epoch 18973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18973With loss 0.1267430099331721
epoch: 18974
Epoch 18974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18974With loss 0.1267430099331721
epoch: 18975
Epoch 18975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18975With loss 0.1267430099331721
epoch: 18976
Epoch 18976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18976With loss 0.1267430099331721
epoch: 18977
Epoch 18977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18977With loss 0.1267430099331721
epoch: 18978
Epoch 18978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18978With loss 0.1267430099331721
epoch: 18979
Epoch 18979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18979With loss 0.1267430099331721
epoch: 18980
Epoch 18980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18980With loss 0.1267430099331721
epoch: 18981
Epoch 18981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18981With loss 0.1267430099331721
epoch: 18982
Epoch 18982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18982With loss 0.1267430099331721
epoch: 18983
Epoch 18983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18983With loss 0.1267430099331721
epoch: 18984
Epoch 18984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18984With loss 0.1267430099331721
epoch: 18985
Epoch 18985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18985With loss 0.1267430099331721
epoch: 18986
Epoch 18986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18986With loss 0.1267430099331721
epoch: 18987
Epoch 18987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18987With loss 0.1267430099331721
epoch: 18988
Epoch 18988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18988With loss 0.1267430099331721
epoch: 18989
Epoch 18989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18989With loss 0.1267430099331721
epoch: 18990
Epoch 18990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18990With loss 0.1267430099331721
epoch: 18991
Epoch 18991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18991With loss 0.1267430099331721
epoch: 18992
Epoch 18992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18992With loss 0.1267430099331721
epoch: 18993
Epoch 18993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18993With loss 0.1267430099331721
epoch: 18994
Epoch 18994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18994With loss 0.1267430099331721
epoch: 18995
Epoch 18995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18995With loss 0.1267430099331721
epoch: 18996
Epoch 18996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18996With loss 0.1267430099331721
epoch: 18997
Epoch 18997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18997With loss 0.1267430099331721
epoch: 18998
Epoch 18998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18998With loss 0.1267430099331721
epoch: 18999
Epoch 18999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 18999With loss 0.1267430099331721
epoch: 19000
Epoch 19000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19000With loss 0.1267430099331721
epoch: 19001
Epoch 19001/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19001With loss 0.1267430099331721
epoch: 19002
Epoch 19002/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19002With loss 0.1267430099331721
epoch: 19003
Epoch 19003/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19003With loss 0.1267430099331721
epoch: 19004
Epoch 19004/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19004With loss 0.1267430099331721
epoch: 19005
Epoch 19005/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19005With loss 0.1267430099331721
epoch: 19006
Epoch 19006/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19006With loss 0.1267430099331721
epoch: 19007
Epoch 19007/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19007With loss 0.1267430099331721
epoch: 19008
Epoch 19008/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19008With loss 0.1267430099331721
epoch: 19009
Epoch 19009/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19009With loss 0.1267430099331721
epoch: 19010
Epoch 19010/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19010With loss 0.1267430099331721
epoch: 19011
Epoch 19011/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19011With loss 0.1267430099331721
epoch: 19012
Epoch 19012/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19012With loss 0.1267430099331721
epoch: 19013
Epoch 19013/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19013With loss 0.1267430099331721
epoch: 19014
Epoch 19014/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19014With loss 0.1267430099331721
epoch: 19015
Epoch 19015/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19015With loss 0.1267430099331721
epoch: 19016
Epoch 19016/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19016With loss 0.1267430099331721
epoch: 19017
Epoch 19017/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19017With loss 0.1267430099331721
epoch: 19018
Epoch 19018/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19018With loss 0.1267430099331721
epoch: 19019
Epoch 19019/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19019With loss 0.1267430099331721
epoch: 19020
Epoch 19020/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19020With loss 0.1267430099331721
epoch: 19021
Epoch 19021/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19021With loss 0.1267430099331721
epoch: 19022
Epoch 19022/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19022With loss 0.1267430099331721
epoch: 19023
Epoch 19023/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19023With loss 0.1267430099331721
epoch: 19024
Epoch 19024/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19024With loss 0.1267430099331721
epoch: 19025
Epoch 19025/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19025With loss 0.1267430099331721
epoch: 19026
Epoch 19026/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19026With loss 0.1267430099331721
epoch: 19027
Epoch 19027/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19027With loss 0.1267430099331721
epoch: 19028
Epoch 19028/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19028With loss 0.1267430099331721
epoch: 19029
Epoch 19029/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19029With loss 0.1267430099331721
epoch: 19030
Epoch 19030/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19030With loss 0.1267430099331721
epoch: 19031
Epoch 19031/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19031With loss 0.1267430099331721
epoch: 19032
Epoch 19032/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19032With loss 0.1267430099331721
epoch: 19033
Epoch 19033/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19033With loss 0.1267430099331721
epoch: 19034
Epoch 19034/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19034With loss 0.1267430099331721
epoch: 19035
Epoch 19035/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19035With loss 0.1267430099331721
epoch: 19036
Epoch 19036/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19036With loss 0.1267430099331721
epoch: 19037
Epoch 19037/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19037With loss 0.1267430099331721
epoch: 19038
Epoch 19038/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19038With loss 0.1267430099331721
epoch: 19039
Epoch 19039/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19039With loss 0.1267430099331721
epoch: 19040
Epoch 19040/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19040With loss 0.1267430099331721
epoch: 19041
Epoch 19041/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19041With loss 0.1267430099331721
epoch: 19042
Epoch 19042/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19042With loss 0.1267430099331721
epoch: 19043
Epoch 19043/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19043With loss 0.1267430099331721
epoch: 19044
Epoch 19044/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19044With loss 0.1267430099331721
epoch: 19045
Epoch 19045/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19045With loss 0.1267430099331721
epoch: 19046
Epoch 19046/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19046With loss 0.1267430099331721
epoch: 19047
Epoch 19047/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19047With loss 0.1267430099331721
epoch: 19048
Epoch 19048/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19048With loss 0.1267430099331721
epoch: 19049
Epoch 19049/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19049With loss 0.1267430099331721
epoch: 19050
Epoch 19050/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19050With loss 0.1267430099331721
epoch: 19051
Epoch 19051/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19051With loss 0.1267430099331721
epoch: 19052
Epoch 19052/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19052With loss 0.1267430099331721
epoch: 19053
Epoch 19053/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19053With loss 0.1267430099331721
epoch: 19054
Epoch 19054/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19054With loss 0.1267430099331721
epoch: 19055
Epoch 19055/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19055With loss 0.1267430099331721
epoch: 19056
Epoch 19056/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19056With loss 0.1267430099331721
epoch: 19057
Epoch 19057/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19057With loss 0.1267430099331721
epoch: 19058
Epoch 19058/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19058With loss 0.1267430099331721
epoch: 19059
Epoch 19059/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19059With loss 0.1267430099331721
epoch: 19060
Epoch 19060/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19060With loss 0.1267430099331721
epoch: 19061
Epoch 19061/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19061With loss 0.1267430099331721
epoch: 19062
Epoch 19062/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19062With loss 0.1267430099331721
epoch: 19063
Epoch 19063/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19063With loss 0.1267430099331721
epoch: 19064
Epoch 19064/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19064With loss 0.1267430099331721
epoch: 19065
Epoch 19065/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19065With loss 0.1267430099331721
epoch: 19066
Epoch 19066/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19066With loss 0.1267430099331721
epoch: 19067
Epoch 19067/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19067With loss 0.1267430099331721
epoch: 19068
Epoch 19068/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19068With loss 0.1267430099331721
epoch: 19069
Epoch 19069/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19069With loss 0.1267430099331721
epoch: 19070
Epoch 19070/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19070With loss 0.1267430099331721
epoch: 19071
Epoch 19071/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19071With loss 0.1267430099331721
epoch: 19072
Epoch 19072/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19072With loss 0.1267430099331721
epoch: 19073
Epoch 19073/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19073With loss 0.1267430099331721
epoch: 19074
Epoch 19074/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19074With loss 0.1267430099331721
epoch: 19075
Epoch 19075/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19075With loss 0.1267430099331721
epoch: 19076
Epoch 19076/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19076With loss 0.1267430099331721
epoch: 19077
Epoch 19077/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19077With loss 0.1267430099331721
epoch: 19078
Epoch 19078/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19078With loss 0.1267430099331721
epoch: 19079
Epoch 19079/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19079With loss 0.1267430099331721
epoch: 19080
Epoch 19080/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19080With loss 0.1267430099331721
epoch: 19081
Epoch 19081/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19081With loss 0.1267430099331721
epoch: 19082
Epoch 19082/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19082With loss 0.1267430099331721
epoch: 19083
Epoch 19083/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19083With loss 0.1267430099331721
epoch: 19084
Epoch 19084/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19084With loss 0.1267430099331721
epoch: 19085
Epoch 19085/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19085With loss 0.1267430099331721
epoch: 19086
Epoch 19086/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19086With loss 0.1267430099331721
epoch: 19087
Epoch 19087/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19087With loss 0.1267430099331721
epoch: 19088
Epoch 19088/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19088With loss 0.1267430099331721
epoch: 19089
Epoch 19089/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19089With loss 0.1267430099331721
epoch: 19090
Epoch 19090/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19090With loss 0.1267430099331721
epoch: 19091
Epoch 19091/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19091With loss 0.1267430099331721
epoch: 19092
Epoch 19092/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19092With loss 0.1267430099331721
epoch: 19093
Epoch 19093/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19093With loss 0.1267430099331721
epoch: 19094
Epoch 19094/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19094With loss 0.1267430099331721
epoch: 19095
Epoch 19095/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19095With loss 0.1267430099331721
epoch: 19096
Epoch 19096/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19096With loss 0.1267430099331721
epoch: 19097
Epoch 19097/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19097With loss 0.1267430099331721
epoch: 19098
Epoch 19098/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19098With loss 0.1267430099331721
epoch: 19099
Epoch 19099/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19099With loss 0.1267430099331721
epoch: 19100
Epoch 19100/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19100With loss 0.1267430099331721
epoch: 19101
Epoch 19101/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19101With loss 0.1267430099331721
epoch: 19102
Epoch 19102/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19102With loss 0.1267430099331721
epoch: 19103
Epoch 19103/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19103With loss 0.1267430099331721
epoch: 19104
Epoch 19104/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19104With loss 0.1267430099331721
epoch: 19105
Epoch 19105/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19105With loss 0.1267430099331721
epoch: 19106
Epoch 19106/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19106With loss 0.1267430099331721
epoch: 19107
Epoch 19107/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19107With loss 0.1267430099331721
epoch: 19108
Epoch 19108/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19108With loss 0.1267430099331721
epoch: 19109
Epoch 19109/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19109With loss 0.1267430099331721
epoch: 19110
Epoch 19110/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19110With loss 0.1267430099331721
epoch: 19111
Epoch 19111/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19111With loss 0.1267430099331721
epoch: 19112
Epoch 19112/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19112With loss 0.1267430099331721
epoch: 19113
Epoch 19113/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19113With loss 0.1267430099331721
epoch: 19114
Epoch 19114/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19114With loss 0.1267430099331721
epoch: 19115
Epoch 19115/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19115With loss 0.1267430099331721
epoch: 19116
Epoch 19116/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19116With loss 0.1267430099331721
epoch: 19117
Epoch 19117/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19117With loss 0.1267430099331721
epoch: 19118
Epoch 19118/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19118With loss 0.1267430099331721
epoch: 19119
Epoch 19119/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19119With loss 0.1267430099331721
epoch: 19120
Epoch 19120/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19120With loss 0.1267430099331721
epoch: 19121
Epoch 19121/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19121With loss 0.1267430099331721
epoch: 19122
Epoch 19122/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19122With loss 0.1267430099331721
epoch: 19123
Epoch 19123/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19123With loss 0.1267430099331721
epoch: 19124
Epoch 19124/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19124With loss 0.1267430099331721
epoch: 19125
Epoch 19125/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19125With loss 0.1267430099331721
epoch: 19126
Epoch 19126/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19126With loss 0.1267430099331721
epoch: 19127
Epoch 19127/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19127With loss 0.1267430099331721
epoch: 19128
Epoch 19128/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19128With loss 0.1267430099331721
epoch: 19129
Epoch 19129/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19129With loss 0.1267430099331721
epoch: 19130
Epoch 19130/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19130With loss 0.1267430099331721
epoch: 19131
Epoch 19131/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19131With loss 0.1267430099331721
epoch: 19132
Epoch 19132/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19132With loss 0.1267430099331721
epoch: 19133
Epoch 19133/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19133With loss 0.1267430099331721
epoch: 19134
Epoch 19134/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19134With loss 0.1267430099331721
epoch: 19135
Epoch 19135/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19135With loss 0.1267430099331721
epoch: 19136
Epoch 19136/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19136With loss 0.1267430099331721
epoch: 19137
Epoch 19137/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19137With loss 0.1267430099331721
epoch: 19138
Epoch 19138/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19138With loss 0.1267430099331721
epoch: 19139
Epoch 19139/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19139With loss 0.1267430099331721
epoch: 19140
Epoch 19140/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19140With loss 0.1267430099331721
epoch: 19141
Epoch 19141/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19141With loss 0.1267430099331721
epoch: 19142
Epoch 19142/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19142With loss 0.1267430099331721
epoch: 19143
Epoch 19143/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19143With loss 0.1267430099331721
epoch: 19144
Epoch 19144/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19144With loss 0.1267430099331721
epoch: 19145
Epoch 19145/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19145With loss 0.1267430099331721
epoch: 19146
Epoch 19146/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19146With loss 0.1267430099331721
epoch: 19147
Epoch 19147/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19147With loss 0.1267430099331721
epoch: 19148
Epoch 19148/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19148With loss 0.1267430099331721
epoch: 19149
Epoch 19149/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19149With loss 0.1267430099331721
epoch: 19150
Epoch 19150/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19150With loss 0.1267430099331721
epoch: 19151
Epoch 19151/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19151With loss 0.1267430099331721
epoch: 19152
Epoch 19152/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19152With loss 0.1267430099331721
epoch: 19153
Epoch 19153/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19153With loss 0.1267430099331721
epoch: 19154
Epoch 19154/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19154With loss 0.1267430099331721
epoch: 19155
Epoch 19155/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19155With loss 0.1267430099331721
epoch: 19156
Epoch 19156/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19156With loss 0.1267430099331721
epoch: 19157
Epoch 19157/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19157With loss 0.1267430099331721
epoch: 19158
Epoch 19158/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19158With loss 0.1267430099331721
epoch: 19159
Epoch 19159/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19159With loss 0.1267430099331721
epoch: 19160
Epoch 19160/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19160With loss 0.1267430099331721
epoch: 19161
Epoch 19161/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19161With loss 0.1267430099331721
epoch: 19162
Epoch 19162/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19162With loss 0.1267430099331721
epoch: 19163
Epoch 19163/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19163With loss 0.1267430099331721
epoch: 19164
Epoch 19164/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19164With loss 0.1267430099331721
epoch: 19165
Epoch 19165/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19165With loss 0.1267430099331721
epoch: 19166
Epoch 19166/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19166With loss 0.1267430099331721
epoch: 19167
Epoch 19167/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19167With loss 0.1267430099331721
epoch: 19168
Epoch 19168/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19168With loss 0.1267430099331721
epoch: 19169
Epoch 19169/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19169With loss 0.1267430099331721
epoch: 19170
Epoch 19170/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19170With loss 0.1267430099331721
epoch: 19171
Epoch 19171/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19171With loss 0.1267430099331721
epoch: 19172
Epoch 19172/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19172With loss 0.1267430099331721
epoch: 19173
Epoch 19173/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19173With loss 0.1267430099331721
epoch: 19174
Epoch 19174/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19174With loss 0.1267430099331721
epoch: 19175
Epoch 19175/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19175With loss 0.1267430099331721
epoch: 19176
Epoch 19176/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19176With loss 0.1267430099331721
epoch: 19177
Epoch 19177/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19177With loss 0.1267430099331721
epoch: 19178
Epoch 19178/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19178With loss 0.1267430099331721
epoch: 19179
Epoch 19179/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19179With loss 0.1267430099331721
epoch: 19180
Epoch 19180/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19180With loss 0.1267430099331721
epoch: 19181
Epoch 19181/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19181With loss 0.1267430099331721
epoch: 19182
Epoch 19182/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19182With loss 0.1267430099331721
epoch: 19183
Epoch 19183/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19183With loss 0.1267430099331721
epoch: 19184
Epoch 19184/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19184With loss 0.1267430099331721
epoch: 19185
Epoch 19185/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19185With loss 0.1267430099331721
epoch: 19186
Epoch 19186/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19186With loss 0.1267430099331721
epoch: 19187
Epoch 19187/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19187With loss 0.1267430099331721
epoch: 19188
Epoch 19188/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19188With loss 0.1267430099331721
epoch: 19189
Epoch 19189/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19189With loss 0.1267430099331721
epoch: 19190
Epoch 19190/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19190With loss 0.1267430099331721
epoch: 19191
Epoch 19191/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19191With loss 0.1267430099331721
epoch: 19192
Epoch 19192/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19192With loss 0.1267430099331721
epoch: 19193
Epoch 19193/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19193With loss 0.1267430099331721
epoch: 19194
Epoch 19194/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19194With loss 0.1267430099331721
epoch: 19195
Epoch 19195/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19195With loss 0.1267430099331721
epoch: 19196
Epoch 19196/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19196With loss 0.1267430099331721
epoch: 19197
Epoch 19197/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19197With loss 0.1267430099331721
epoch: 19198
Epoch 19198/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19198With loss 0.1267430099331721
epoch: 19199
Epoch 19199/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19199With loss 0.1267430099331721
epoch: 19200
Epoch 19200/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19200With loss 0.1267430099331721
epoch: 19201
Epoch 19201/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19201With loss 0.1267430099331721
epoch: 19202
Epoch 19202/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19202With loss 0.1267430099331721
epoch: 19203
Epoch 19203/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19203With loss 0.1267430099331721
epoch: 19204
Epoch 19204/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19204With loss 0.1267430099331721
epoch: 19205
Epoch 19205/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19205With loss 0.1267430099331721
epoch: 19206
Epoch 19206/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19206With loss 0.1267430099331721
epoch: 19207
Epoch 19207/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19207With loss 0.1267430099331721
epoch: 19208
Epoch 19208/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19208With loss 0.1267430099331721
epoch: 19209
Epoch 19209/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19209With loss 0.1267430099331721
epoch: 19210
Epoch 19210/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19210With loss 0.1267430099331721
epoch: 19211
Epoch 19211/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19211With loss 0.1267430099331721
epoch: 19212
Epoch 19212/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19212With loss 0.1267430099331721
epoch: 19213
Epoch 19213/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19213With loss 0.1267430099331721
epoch: 19214
Epoch 19214/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19214With loss 0.1267430099331721
epoch: 19215
Epoch 19215/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19215With loss 0.1267430099331721
epoch: 19216
Epoch 19216/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19216With loss 0.1267430099331721
epoch: 19217
Epoch 19217/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19217With loss 0.1267430099331721
epoch: 19218
Epoch 19218/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19218With loss 0.1267430099331721
epoch: 19219
Epoch 19219/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19219With loss 0.1267430099331721
epoch: 19220
Epoch 19220/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19220With loss 0.1267430099331721
epoch: 19221
Epoch 19221/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19221With loss 0.1267430099331721
epoch: 19222
Epoch 19222/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19222With loss 0.1267430099331721
epoch: 19223
Epoch 19223/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19223With loss 0.1267430099331721
epoch: 19224
Epoch 19224/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19224With loss 0.1267430099331721
epoch: 19225
Epoch 19225/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19225With loss 0.1267430099331721
epoch: 19226
Epoch 19226/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19226With loss 0.1267430099331721
epoch: 19227
Epoch 19227/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19227With loss 0.1267430099331721
epoch: 19228
Epoch 19228/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19228With loss 0.1267430099331721
epoch: 19229
Epoch 19229/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19229With loss 0.1267430099331721
epoch: 19230
Epoch 19230/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19230With loss 0.1267430099331721
epoch: 19231
Epoch 19231/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19231With loss 0.1267430099331721
epoch: 19232
Epoch 19232/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19232With loss 0.1267430099331721
epoch: 19233
Epoch 19233/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19233With loss 0.1267430099331721
epoch: 19234
Epoch 19234/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19234With loss 0.1267430099331721
epoch: 19235
Epoch 19235/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19235With loss 0.1267430099331721
epoch: 19236
Epoch 19236/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19236With loss 0.1267430099331721
epoch: 19237
Epoch 19237/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19237With loss 0.1267430099331721
epoch: 19238
Epoch 19238/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19238With loss 0.1267430099331721
epoch: 19239
Epoch 19239/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19239With loss 0.1267430099331721
epoch: 19240
Epoch 19240/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19240With loss 0.1267430099331721
epoch: 19241
Epoch 19241/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19241With loss 0.1267430099331721
epoch: 19242
Epoch 19242/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19242With loss 0.1267430099331721
epoch: 19243
Epoch 19243/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19243With loss 0.1267430099331721
epoch: 19244
Epoch 19244/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19244With loss 0.1267430099331721
epoch: 19245
Epoch 19245/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19245With loss 0.1267430099331721
epoch: 19246
Epoch 19246/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19246With loss 0.1267430099331721
epoch: 19247
Epoch 19247/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19247With loss 0.1267430099331721
epoch: 19248
Epoch 19248/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19248With loss 0.1267430099331721
epoch: 19249
Epoch 19249/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19249With loss 0.1267430099331721
epoch: 19250
Epoch 19250/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19250With loss 0.1267430099331721
epoch: 19251
Epoch 19251/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19251With loss 0.1267430099331721
epoch: 19252
Epoch 19252/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19252With loss 0.1267430099331721
epoch: 19253
Epoch 19253/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19253With loss 0.1267430099331721
epoch: 19254
Epoch 19254/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19254With loss 0.1267430099331721
epoch: 19255
Epoch 19255/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19255With loss 0.1267430099331721
epoch: 19256
Epoch 19256/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19256With loss 0.1267430099331721
epoch: 19257
Epoch 19257/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19257With loss 0.1267430099331721
epoch: 19258
Epoch 19258/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19258With loss 0.1267430099331721
epoch: 19259
Epoch 19259/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19259With loss 0.1267430099331721
epoch: 19260
Epoch 19260/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19260With loss 0.1267430099331721
epoch: 19261
Epoch 19261/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19261With loss 0.1267430099331721
epoch: 19262
Epoch 19262/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19262With loss 0.1267430099331721
epoch: 19263
Epoch 19263/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19263With loss 0.1267430099331721
epoch: 19264
Epoch 19264/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19264With loss 0.1267430099331721
epoch: 19265
Epoch 19265/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19265With loss 0.1267430099331721
epoch: 19266
Epoch 19266/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19266With loss 0.1267430099331721
epoch: 19267
Epoch 19267/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19267With loss 0.1267430099331721
epoch: 19268
Epoch 19268/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19268With loss 0.1267430099331721
epoch: 19269
Epoch 19269/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19269With loss 0.1267430099331721
epoch: 19270
Epoch 19270/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19270With loss 0.1267430099331721
epoch: 19271
Epoch 19271/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19271With loss 0.1267430099331721
epoch: 19272
Epoch 19272/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19272With loss 0.1267430099331721
epoch: 19273
Epoch 19273/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19273With loss 0.1267430099331721
epoch: 19274
Epoch 19274/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19274With loss 0.1267430099331721
epoch: 19275
Epoch 19275/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19275With loss 0.1267430099331721
epoch: 19276
Epoch 19276/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19276With loss 0.1267430099331721
epoch: 19277
Epoch 19277/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19277With loss 0.1267430099331721
epoch: 19278
Epoch 19278/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19278With loss 0.1267430099331721
epoch: 19279
Epoch 19279/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19279With loss 0.1267430099331721
epoch: 19280
Epoch 19280/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19280With loss 0.1267430099331721
epoch: 19281
Epoch 19281/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19281With loss 0.1267430099331721
epoch: 19282
Epoch 19282/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19282With loss 0.1267430099331721
epoch: 19283
Epoch 19283/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19283With loss 0.1267430099331721
epoch: 19284
Epoch 19284/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19284With loss 0.1267430099331721
epoch: 19285
Epoch 19285/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19285With loss 0.1267430099331721
epoch: 19286
Epoch 19286/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19286With loss 0.1267430099331721
epoch: 19287
Epoch 19287/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19287With loss 0.1267430099331721
epoch: 19288
Epoch 19288/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19288With loss 0.1267430099331721
epoch: 19289
Epoch 19289/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19289With loss 0.1267430099331721
epoch: 19290
Epoch 19290/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19290With loss 0.1267430099331721
epoch: 19291
Epoch 19291/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19291With loss 0.1267430099331721
epoch: 19292
Epoch 19292/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19292With loss 0.1267430099331721
epoch: 19293
Epoch 19293/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19293With loss 0.1267430099331721
epoch: 19294
Epoch 19294/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19294With loss 0.1267430099331721
epoch: 19295
Epoch 19295/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19295With loss 0.1267430099331721
epoch: 19296
Epoch 19296/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19296With loss 0.1267430099331721
epoch: 19297
Epoch 19297/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19297With loss 0.1267430099331721
epoch: 19298
Epoch 19298/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19298With loss 0.1267430099331721
epoch: 19299
Epoch 19299/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19299With loss 0.1267430099331721
epoch: 19300
Epoch 19300/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19300With loss 0.1267430099331721
epoch: 19301
Epoch 19301/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19301With loss 0.1267430099331721
epoch: 19302
Epoch 19302/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19302With loss 0.1267430099331721
epoch: 19303
Epoch 19303/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19303With loss 0.1267430099331721
epoch: 19304
Epoch 19304/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19304With loss 0.1267430099331721
epoch: 19305
Epoch 19305/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19305With loss 0.1267430099331721
epoch: 19306
Epoch 19306/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19306With loss 0.1267430099331721
epoch: 19307
Epoch 19307/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19307With loss 0.1267430099331721
epoch: 19308
Epoch 19308/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19308With loss 0.1267430099331721
epoch: 19309
Epoch 19309/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19309With loss 0.1267430099331721
epoch: 19310
Epoch 19310/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19310With loss 0.1267430099331721
epoch: 19311
Epoch 19311/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19311With loss 0.1267430099331721
epoch: 19312
Epoch 19312/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19312With loss 0.1267430099331721
epoch: 19313
Epoch 19313/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19313With loss 0.1267430099331721
epoch: 19314
Epoch 19314/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19314With loss 0.1267430099331721
epoch: 19315
Epoch 19315/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19315With loss 0.1267430099331721
epoch: 19316
Epoch 19316/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19316With loss 0.1267430099331721
epoch: 19317
Epoch 19317/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19317With loss 0.1267430099331721
epoch: 19318
Epoch 19318/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19318With loss 0.1267430099331721
epoch: 19319
Epoch 19319/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19319With loss 0.1267430099331721
epoch: 19320
Epoch 19320/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19320With loss 0.1267430099331721
epoch: 19321
Epoch 19321/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19321With loss 0.1267430099331721
epoch: 19322
Epoch 19322/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19322With loss 0.1267430099331721
epoch: 19323
Epoch 19323/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19323With loss 0.1267430099331721
epoch: 19324
Epoch 19324/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19324With loss 0.1267430099331721
epoch: 19325
Epoch 19325/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19325With loss 0.1267430099331721
epoch: 19326
Epoch 19326/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19326With loss 0.1267430099331721
epoch: 19327
Epoch 19327/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19327With loss 0.1267430099331721
epoch: 19328
Epoch 19328/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19328With loss 0.1267430099331721
epoch: 19329
Epoch 19329/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19329With loss 0.1267430099331721
epoch: 19330
Epoch 19330/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19330With loss 0.1267430099331721
epoch: 19331
Epoch 19331/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19331With loss 0.1267430099331721
epoch: 19332
Epoch 19332/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19332With loss 0.1267430099331721
epoch: 19333
Epoch 19333/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19333With loss 0.1267430099331721
epoch: 19334
Epoch 19334/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19334With loss 0.1267430099331721
epoch: 19335
Epoch 19335/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19335With loss 0.1267430099331721
epoch: 19336
Epoch 19336/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19336With loss 0.1267430099331721
epoch: 19337
Epoch 19337/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19337With loss 0.1267430099331721
epoch: 19338
Epoch 19338/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19338With loss 0.1267430099331721
epoch: 19339
Epoch 19339/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19339With loss 0.1267430099331721
epoch: 19340
Epoch 19340/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19340With loss 0.1267430099331721
epoch: 19341
Epoch 19341/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19341With loss 0.1267430099331721
epoch: 19342
Epoch 19342/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19342With loss 0.1267430099331721
epoch: 19343
Epoch 19343/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19343With loss 0.1267430099331721
epoch: 19344
Epoch 19344/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19344With loss 0.1267430099331721
epoch: 19345
Epoch 19345/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19345With loss 0.1267430099331721
epoch: 19346
Epoch 19346/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19346With loss 0.1267430099331721
epoch: 19347
Epoch 19347/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19347With loss 0.1267430099331721
epoch: 19348
Epoch 19348/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19348With loss 0.1267430099331721
epoch: 19349
Epoch 19349/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19349With loss 0.1267430099331721
epoch: 19350
Epoch 19350/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19350With loss 0.1267430099331721
epoch: 19351
Epoch 19351/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19351With loss 0.1267430099331721
epoch: 19352
Epoch 19352/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19352With loss 0.1267430099331721
epoch: 19353
Epoch 19353/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19353With loss 0.1267430099331721
epoch: 19354
Epoch 19354/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19354With loss 0.1267430099331721
epoch: 19355
Epoch 19355/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19355With loss 0.1267430099331721
epoch: 19356
Epoch 19356/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19356With loss 0.1267430099331721
epoch: 19357
Epoch 19357/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19357With loss 0.1267430099331721
epoch: 19358
Epoch 19358/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19358With loss 0.1267430099331721
epoch: 19359
Epoch 19359/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19359With loss 0.1267430099331721
epoch: 19360
Epoch 19360/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19360With loss 0.1267430099331721
epoch: 19361
Epoch 19361/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19361With loss 0.1267430099331721
epoch: 19362
Epoch 19362/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19362With loss 0.1267430099331721
epoch: 19363
Epoch 19363/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19363With loss 0.1267430099331721
epoch: 19364
Epoch 19364/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19364With loss 0.1267430099331721
epoch: 19365
Epoch 19365/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19365With loss 0.1267430099331721
epoch: 19366
Epoch 19366/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19366With loss 0.1267430099331721
epoch: 19367
Epoch 19367/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19367With loss 0.1267430099331721
epoch: 19368
Epoch 19368/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19368With loss 0.1267430099331721
epoch: 19369
Epoch 19369/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19369With loss 0.1267430099331721
epoch: 19370
Epoch 19370/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19370With loss 0.1267430099331721
epoch: 19371
Epoch 19371/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19371With loss 0.1267430099331721
epoch: 19372
Epoch 19372/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19372With loss 0.1267430099331721
epoch: 19373
Epoch 19373/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19373With loss 0.1267430099331721
epoch: 19374
Epoch 19374/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19374With loss 0.1267430099331721
epoch: 19375
Epoch 19375/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19375With loss 0.1267430099331721
epoch: 19376
Epoch 19376/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19376With loss 0.1267430099331721
epoch: 19377
Epoch 19377/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19377With loss 0.1267430099331721
epoch: 19378
Epoch 19378/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19378With loss 0.1267430099331721
epoch: 19379
Epoch 19379/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19379With loss 0.1267430099331721
epoch: 19380
Epoch 19380/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19380With loss 0.1267430099331721
epoch: 19381
Epoch 19381/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19381With loss 0.1267430099331721
epoch: 19382
Epoch 19382/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19382With loss 0.1267430099331721
epoch: 19383
Epoch 19383/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19383With loss 0.1267430099331721
epoch: 19384
Epoch 19384/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19384With loss 0.1267430099331721
epoch: 19385
Epoch 19385/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19385With loss 0.1267430099331721
epoch: 19386
Epoch 19386/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19386With loss 0.1267430099331721
epoch: 19387
Epoch 19387/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19387With loss 0.1267430099331721
epoch: 19388
Epoch 19388/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19388With loss 0.1267430099331721
epoch: 19389
Epoch 19389/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19389With loss 0.1267430099331721
epoch: 19390
Epoch 19390/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19390With loss 0.1267430099331721
epoch: 19391
Epoch 19391/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19391With loss 0.1267430099331721
epoch: 19392
Epoch 19392/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19392With loss 0.1267430099331721
epoch: 19393
Epoch 19393/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19393With loss 0.1267430099331721
epoch: 19394
Epoch 19394/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19394With loss 0.1267430099331721
epoch: 19395
Epoch 19395/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19395With loss 0.1267430099331721
epoch: 19396
Epoch 19396/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19396With loss 0.1267430099331721
epoch: 19397
Epoch 19397/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19397With loss 0.1267430099331721
epoch: 19398
Epoch 19398/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19398With loss 0.1267430099331721
epoch: 19399
Epoch 19399/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19399With loss 0.1267430099331721
epoch: 19400
Epoch 19400/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19400With loss 0.1267430099331721
epoch: 19401
Epoch 19401/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19401With loss 0.1267430099331721
epoch: 19402
Epoch 19402/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19402With loss 0.1267430099331721
epoch: 19403
Epoch 19403/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19403With loss 0.1267430099331721
epoch: 19404
Epoch 19404/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19404With loss 0.1267430099331721
epoch: 19405
Epoch 19405/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19405With loss 0.1267430099331721
epoch: 19406
Epoch 19406/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19406With loss 0.1267430099331721
epoch: 19407
Epoch 19407/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19407With loss 0.1267430099331721
epoch: 19408
Epoch 19408/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19408With loss 0.1267430099331721
epoch: 19409
Epoch 19409/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19409With loss 0.1267430099331721
epoch: 19410
Epoch 19410/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19410With loss 0.1267430099331721
epoch: 19411
Epoch 19411/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19411With loss 0.1267430099331721
epoch: 19412
Epoch 19412/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19412With loss 0.1267430099331721
epoch: 19413
Epoch 19413/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19413With loss 0.1267430099331721
epoch: 19414
Epoch 19414/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19414With loss 0.1267430099331721
epoch: 19415
Epoch 19415/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19415With loss 0.1267430099331721
epoch: 19416
Epoch 19416/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19416With loss 0.1267430099331721
epoch: 19417
Epoch 19417/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19417With loss 0.1267430099331721
epoch: 19418
Epoch 19418/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19418With loss 0.1267430099331721
epoch: 19419
Epoch 19419/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19419With loss 0.1267430099331721
epoch: 19420
Epoch 19420/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19420With loss 0.1267430099331721
epoch: 19421
Epoch 19421/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19421With loss 0.1267430099331721
epoch: 19422
Epoch 19422/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19422With loss 0.1267430099331721
epoch: 19423
Epoch 19423/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19423With loss 0.1267430099331721
epoch: 19424
Epoch 19424/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19424With loss 0.1267430099331721
epoch: 19425
Epoch 19425/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19425With loss 0.1267430099331721
epoch: 19426
Epoch 19426/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19426With loss 0.1267430099331721
epoch: 19427
Epoch 19427/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19427With loss 0.1267430099331721
epoch: 19428
Epoch 19428/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19428With loss 0.1267430099331721
epoch: 19429
Epoch 19429/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19429With loss 0.1267430099331721
epoch: 19430
Epoch 19430/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19430With loss 0.1267430099331721
epoch: 19431
Epoch 19431/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19431With loss 0.1267430099331721
epoch: 19432
Epoch 19432/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19432With loss 0.1267430099331721
epoch: 19433
Epoch 19433/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19433With loss 0.1267430099331721
epoch: 19434
Epoch 19434/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19434With loss 0.1267430099331721
epoch: 19435
Epoch 19435/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19435With loss 0.1267430099331721
epoch: 19436
Epoch 19436/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19436With loss 0.1267430099331721
epoch: 19437
Epoch 19437/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19437With loss 0.1267430099331721
epoch: 19438
Epoch 19438/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19438With loss 0.1267430099331721
epoch: 19439
Epoch 19439/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19439With loss 0.1267430099331721
epoch: 19440
Epoch 19440/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19440With loss 0.1267430099331721
epoch: 19441
Epoch 19441/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19441With loss 0.1267430099331721
epoch: 19442
Epoch 19442/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19442With loss 0.1267430099331721
epoch: 19443
Epoch 19443/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19443With loss 0.1267430099331721
epoch: 19444
Epoch 19444/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19444With loss 0.1267430099331721
epoch: 19445
Epoch 19445/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19445With loss 0.1267430099331721
epoch: 19446
Epoch 19446/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19446With loss 0.1267430099331721
epoch: 19447
Epoch 19447/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19447With loss 0.1267430099331721
epoch: 19448
Epoch 19448/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19448With loss 0.1267430099331721
epoch: 19449
Epoch 19449/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19449With loss 0.1267430099331721
epoch: 19450
Epoch 19450/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19450With loss 0.1267430099331721
epoch: 19451
Epoch 19451/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19451With loss 0.1267430099331721
epoch: 19452
Epoch 19452/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19452With loss 0.1267430099331721
epoch: 19453
Epoch 19453/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19453With loss 0.1267430099331721
epoch: 19454
Epoch 19454/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19454With loss 0.1267430099331721
epoch: 19455
Epoch 19455/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19455With loss 0.1267430099331721
epoch: 19456
Epoch 19456/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19456With loss 0.1267430099331721
epoch: 19457
Epoch 19457/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19457With loss 0.1267430099331721
epoch: 19458
Epoch 19458/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19458With loss 0.1267430099331721
epoch: 19459
Epoch 19459/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19459With loss 0.1267430099331721
epoch: 19460
Epoch 19460/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19460With loss 0.1267430099331721
epoch: 19461
Epoch 19461/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19461With loss 0.1267430099331721
epoch: 19462
Epoch 19462/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19462With loss 0.1267430099331721
epoch: 19463
Epoch 19463/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19463With loss 0.1267430099331721
epoch: 19464
Epoch 19464/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19464With loss 0.1267430099331721
epoch: 19465
Epoch 19465/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19465With loss 0.1267430099331721
epoch: 19466
Epoch 19466/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19466With loss 0.1267430099331721
epoch: 19467
Epoch 19467/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19467With loss 0.1267430099331721
epoch: 19468
Epoch 19468/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19468With loss 0.1267430099331721
epoch: 19469
Epoch 19469/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19469With loss 0.1267430099331721
epoch: 19470
Epoch 19470/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19470With loss 0.1267430099331721
epoch: 19471
Epoch 19471/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19471With loss 0.1267430099331721
epoch: 19472
Epoch 19472/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19472With loss 0.1267430099331721
epoch: 19473
Epoch 19473/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19473With loss 0.1267430099331721
epoch: 19474
Epoch 19474/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19474With loss 0.1267430099331721
epoch: 19475
Epoch 19475/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19475With loss 0.1267430099331721
epoch: 19476
Epoch 19476/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19476With loss 0.1267430099331721
epoch: 19477
Epoch 19477/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19477With loss 0.1267430099331721
epoch: 19478
Epoch 19478/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19478With loss 0.1267430099331721
epoch: 19479
Epoch 19479/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19479With loss 0.1267430099331721
epoch: 19480
Epoch 19480/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19480With loss 0.1267430099331721
epoch: 19481
Epoch 19481/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19481With loss 0.1267430099331721
epoch: 19482
Epoch 19482/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19482With loss 0.1267430099331721
epoch: 19483
Epoch 19483/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19483With loss 0.1267430099331721
epoch: 19484
Epoch 19484/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19484With loss 0.1267430099331721
epoch: 19485
Epoch 19485/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19485With loss 0.1267430099331721
epoch: 19486
Epoch 19486/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19486With loss 0.1267430099331721
epoch: 19487
Epoch 19487/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19487With loss 0.1267430099331721
epoch: 19488
Epoch 19488/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19488With loss 0.1267430099331721
epoch: 19489
Epoch 19489/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19489With loss 0.1267430099331721
epoch: 19490
Epoch 19490/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19490With loss 0.1267430099331721
epoch: 19491
Epoch 19491/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19491With loss 0.1267430099331721
epoch: 19492
Epoch 19492/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19492With loss 0.1267430099331721
epoch: 19493
Epoch 19493/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19493With loss 0.1267430099331721
epoch: 19494
Epoch 19494/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19494With loss 0.1267430099331721
epoch: 19495
Epoch 19495/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19495With loss 0.1267430099331721
epoch: 19496
Epoch 19496/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19496With loss 0.1267430099331721
epoch: 19497
Epoch 19497/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19497With loss 0.1267430099331721
epoch: 19498
Epoch 19498/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19498With loss 0.1267430099331721
epoch: 19499
Epoch 19499/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19499With loss 0.1267430099331721
epoch: 19500
Epoch 19500/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19500With loss 0.1267430099331721
epoch: 19501
Epoch 19501/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19501With loss 0.1267430099331721
epoch: 19502
Epoch 19502/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19502With loss 0.1267430099331721
epoch: 19503
Epoch 19503/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19503With loss 0.1267430099331721
epoch: 19504
Epoch 19504/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19504With loss 0.1267430099331721
epoch: 19505
Epoch 19505/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19505With loss 0.1267430099331721
epoch: 19506
Epoch 19506/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19506With loss 0.1267430099331721
epoch: 19507
Epoch 19507/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19507With loss 0.1267430099331721
epoch: 19508
Epoch 19508/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19508With loss 0.1267430099331721
epoch: 19509
Epoch 19509/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19509With loss 0.1267430099331721
epoch: 19510
Epoch 19510/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19510With loss 0.1267430099331721
epoch: 19511
Epoch 19511/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19511With loss 0.1267430099331721
epoch: 19512
Epoch 19512/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19512With loss 0.1267430099331721
epoch: 19513
Epoch 19513/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19513With loss 0.1267430099331721
epoch: 19514
Epoch 19514/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19514With loss 0.1267430099331721
epoch: 19515
Epoch 19515/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19515With loss 0.1267430099331721
epoch: 19516
Epoch 19516/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19516With loss 0.1267430099331721
epoch: 19517
Epoch 19517/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19517With loss 0.1267430099331721
epoch: 19518
Epoch 19518/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19518With loss 0.1267430099331721
epoch: 19519
Epoch 19519/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19519With loss 0.1267430099331721
epoch: 19520
Epoch 19520/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19520With loss 0.1267430099331721
epoch: 19521
Epoch 19521/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19521With loss 0.1267430099331721
epoch: 19522
Epoch 19522/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19522With loss 0.1267430099331721
epoch: 19523
Epoch 19523/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19523With loss 0.1267430099331721
epoch: 19524
Epoch 19524/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19524With loss 0.1267430099331721
epoch: 19525
Epoch 19525/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19525With loss 0.1267430099331721
epoch: 19526
Epoch 19526/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19526With loss 0.1267430099331721
epoch: 19527
Epoch 19527/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19527With loss 0.1267430099331721
epoch: 19528
Epoch 19528/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19528With loss 0.1267430099331721
epoch: 19529
Epoch 19529/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19529With loss 0.1267430099331721
epoch: 19530
Epoch 19530/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19530With loss 0.1267430099331721
epoch: 19531
Epoch 19531/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19531With loss 0.1267430099331721
epoch: 19532
Epoch 19532/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19532With loss 0.1267430099331721
epoch: 19533
Epoch 19533/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19533With loss 0.1267430099331721
epoch: 19534
Epoch 19534/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19534With loss 0.1267430099331721
epoch: 19535
Epoch 19535/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19535With loss 0.1267430099331721
epoch: 19536
Epoch 19536/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19536With loss 0.1267430099331721
epoch: 19537
Epoch 19537/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19537With loss 0.1267430099331721
epoch: 19538
Epoch 19538/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19538With loss 0.1267430099331721
epoch: 19539
Epoch 19539/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19539With loss 0.1267430099331721
epoch: 19540
Epoch 19540/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19540With loss 0.1267430099331721
epoch: 19541
Epoch 19541/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19541With loss 0.1267430099331721
epoch: 19542
Epoch 19542/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19542With loss 0.1267430099331721
epoch: 19543
Epoch 19543/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19543With loss 0.1267430099331721
epoch: 19544
Epoch 19544/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19544With loss 0.1267430099331721
epoch: 19545
Epoch 19545/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19545With loss 0.1267430099331721
epoch: 19546
Epoch 19546/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19546With loss 0.1267430099331721
epoch: 19547
Epoch 19547/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19547With loss 0.1267430099331721
epoch: 19548
Epoch 19548/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19548With loss 0.1267430099331721
epoch: 19549
Epoch 19549/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19549With loss 0.1267430099331721
epoch: 19550
Epoch 19550/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19550With loss 0.1267430099331721
epoch: 19551
Epoch 19551/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19551With loss 0.1267430099331721
epoch: 19552
Epoch 19552/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19552With loss 0.1267430099331721
epoch: 19553
Epoch 19553/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19553With loss 0.1267430099331721
epoch: 19554
Epoch 19554/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19554With loss 0.1267430099331721
epoch: 19555
Epoch 19555/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19555With loss 0.1267430099331721
epoch: 19556
Epoch 19556/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19556With loss 0.1267430099331721
epoch: 19557
Epoch 19557/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19557With loss 0.1267430099331721
epoch: 19558
Epoch 19558/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19558With loss 0.1267430099331721
epoch: 19559
Epoch 19559/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19559With loss 0.1267430099331721
epoch: 19560
Epoch 19560/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19560With loss 0.1267430099331721
epoch: 19561
Epoch 19561/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19561With loss 0.1267430099331721
epoch: 19562
Epoch 19562/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19562With loss 0.1267430099331721
epoch: 19563
Epoch 19563/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19563With loss 0.1267430099331721
epoch: 19564
Epoch 19564/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19564With loss 0.1267430099331721
epoch: 19565
Epoch 19565/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19565With loss 0.1267430099331721
epoch: 19566
Epoch 19566/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19566With loss 0.1267430099331721
epoch: 19567
Epoch 19567/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19567With loss 0.1267430099331721
epoch: 19568
Epoch 19568/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19568With loss 0.1267430099331721
epoch: 19569
Epoch 19569/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19569With loss 0.1267430099331721
epoch: 19570
Epoch 19570/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19570With loss 0.1267430099331721
epoch: 19571
Epoch 19571/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19571With loss 0.1267430099331721
epoch: 19572
Epoch 19572/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19572With loss 0.1267430099331721
epoch: 19573
Epoch 19573/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19573With loss 0.1267430099331721
epoch: 19574
Epoch 19574/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19574With loss 0.1267430099331721
epoch: 19575
Epoch 19575/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19575With loss 0.1267430099331721
epoch: 19576
Epoch 19576/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19576With loss 0.1267430099331721
epoch: 19577
Epoch 19577/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19577With loss 0.1267430099331721
epoch: 19578
Epoch 19578/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19578With loss 0.1267430099331721
epoch: 19579
Epoch 19579/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19579With loss 0.1267430099331721
epoch: 19580
Epoch 19580/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19580With loss 0.1267430099331721
epoch: 19581
Epoch 19581/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19581With loss 0.1267430099331721
epoch: 19582
Epoch 19582/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19582With loss 0.1267430099331721
epoch: 19583
Epoch 19583/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19583With loss 0.1267430099331721
epoch: 19584
Epoch 19584/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19584With loss 0.1267430099331721
epoch: 19585
Epoch 19585/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19585With loss 0.1267430099331721
epoch: 19586
Epoch 19586/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19586With loss 0.1267430099331721
epoch: 19587
Epoch 19587/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19587With loss 0.1267430099331721
epoch: 19588
Epoch 19588/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19588With loss 0.1267430099331721
epoch: 19589
Epoch 19589/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19589With loss 0.1267430099331721
epoch: 19590
Epoch 19590/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19590With loss 0.1267430099331721
epoch: 19591
Epoch 19591/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19591With loss 0.1267430099331721
epoch: 19592
Epoch 19592/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19592With loss 0.1267430099331721
epoch: 19593
Epoch 19593/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19593With loss 0.1267430099331721
epoch: 19594
Epoch 19594/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19594With loss 0.1267430099331721
epoch: 19595
Epoch 19595/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19595With loss 0.1267430099331721
epoch: 19596
Epoch 19596/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19596With loss 0.1267430099331721
epoch: 19597
Epoch 19597/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19597With loss 0.1267430099331721
epoch: 19598
Epoch 19598/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19598With loss 0.1267430099331721
epoch: 19599
Epoch 19599/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19599With loss 0.1267430099331721
epoch: 19600
Epoch 19600/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19600With loss 0.1267430099331721
epoch: 19601
Epoch 19601/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19601With loss 0.1267430099331721
epoch: 19602
Epoch 19602/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19602With loss 0.1267430099331721
epoch: 19603
Epoch 19603/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19603With loss 0.1267430099331721
epoch: 19604
Epoch 19604/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19604With loss 0.1267430099331721
epoch: 19605
Epoch 19605/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19605With loss 0.1267430099331721
epoch: 19606
Epoch 19606/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19606With loss 0.1267430099331721
epoch: 19607
Epoch 19607/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19607With loss 0.1267430099331721
epoch: 19608
Epoch 19608/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19608With loss 0.1267430099331721
epoch: 19609
Epoch 19609/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19609With loss 0.1267430099331721
epoch: 19610
Epoch 19610/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19610With loss 0.1267430099331721
epoch: 19611
Epoch 19611/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19611With loss 0.1267430099331721
epoch: 19612
Epoch 19612/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19612With loss 0.1267430099331721
epoch: 19613
Epoch 19613/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19613With loss 0.1267430099331721
epoch: 19614
Epoch 19614/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19614With loss 0.1267430099331721
epoch: 19615
Epoch 19615/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19615With loss 0.1267430099331721
epoch: 19616
Epoch 19616/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19616With loss 0.1267430099331721
epoch: 19617
Epoch 19617/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19617With loss 0.1267430099331721
epoch: 19618
Epoch 19618/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19618With loss 0.1267430099331721
epoch: 19619
Epoch 19619/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19619With loss 0.1267430099331721
epoch: 19620
Epoch 19620/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19620With loss 0.1267430099331721
epoch: 19621
Epoch 19621/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19621With loss 0.1267430099331721
epoch: 19622
Epoch 19622/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19622With loss 0.1267430099331721
epoch: 19623
Epoch 19623/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19623With loss 0.1267430099331721
epoch: 19624
Epoch 19624/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19624With loss 0.1267430099331721
epoch: 19625
Epoch 19625/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19625With loss 0.1267430099331721
epoch: 19626
Epoch 19626/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19626With loss 0.1267430099331721
epoch: 19627
Epoch 19627/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19627With loss 0.1267430099331721
epoch: 19628
Epoch 19628/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19628With loss 0.1267430099331721
epoch: 19629
Epoch 19629/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19629With loss 0.1267430099331721
epoch: 19630
Epoch 19630/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19630With loss 0.1267430099331721
epoch: 19631
Epoch 19631/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19631With loss 0.1267430099331721
epoch: 19632
Epoch 19632/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19632With loss 0.1267430099331721
epoch: 19633
Epoch 19633/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19633With loss 0.1267430099331721
epoch: 19634
Epoch 19634/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19634With loss 0.1267430099331721
epoch: 19635
Epoch 19635/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19635With loss 0.1267430099331721
epoch: 19636
Epoch 19636/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19636With loss 0.1267430099331721
epoch: 19637
Epoch 19637/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19637With loss 0.1267430099331721
epoch: 19638
Epoch 19638/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19638With loss 0.1267430099331721
epoch: 19639
Epoch 19639/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19639With loss 0.1267430099331721
epoch: 19640
Epoch 19640/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19640With loss 0.1267430099331721
epoch: 19641
Epoch 19641/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19641With loss 0.1267430099331721
epoch: 19642
Epoch 19642/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19642With loss 0.1267430099331721
epoch: 19643
Epoch 19643/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19643With loss 0.1267430099331721
epoch: 19644
Epoch 19644/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19644With loss 0.1267430099331721
epoch: 19645
Epoch 19645/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19645With loss 0.1267430099331721
epoch: 19646
Epoch 19646/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19646With loss 0.1267430099331721
epoch: 19647
Epoch 19647/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19647With loss 0.1267430099331721
epoch: 19648
Epoch 19648/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19648With loss 0.1267430099331721
epoch: 19649
Epoch 19649/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19649With loss 0.1267430099331721
epoch: 19650
Epoch 19650/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19650With loss 0.1267430099331721
epoch: 19651
Epoch 19651/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19651With loss 0.1267430099331721
epoch: 19652
Epoch 19652/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19652With loss 0.1267430099331721
epoch: 19653
Epoch 19653/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19653With loss 0.1267430099331721
epoch: 19654
Epoch 19654/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19654With loss 0.1267430099331721
epoch: 19655
Epoch 19655/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19655With loss 0.1267430099331721
epoch: 19656
Epoch 19656/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19656With loss 0.1267430099331721
epoch: 19657
Epoch 19657/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19657With loss 0.1267430099331721
epoch: 19658
Epoch 19658/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19658With loss 0.1267430099331721
epoch: 19659
Epoch 19659/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19659With loss 0.1267430099331721
epoch: 19660
Epoch 19660/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19660With loss 0.1267430099331721
epoch: 19661
Epoch 19661/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19661With loss 0.1267430099331721
epoch: 19662
Epoch 19662/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19662With loss 0.1267430099331721
epoch: 19663
Epoch 19663/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19663With loss 0.1267430099331721
epoch: 19664
Epoch 19664/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19664With loss 0.1267430099331721
epoch: 19665
Epoch 19665/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19665With loss 0.1267430099331721
epoch: 19666
Epoch 19666/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19666With loss 0.1267430099331721
epoch: 19667
Epoch 19667/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19667With loss 0.1267430099331721
epoch: 19668
Epoch 19668/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19668With loss 0.1267430099331721
epoch: 19669
Epoch 19669/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19669With loss 0.1267430099331721
epoch: 19670
Epoch 19670/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19670With loss 0.1267430099331721
epoch: 19671
Epoch 19671/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19671With loss 0.1267430099331721
epoch: 19672
Epoch 19672/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19672With loss 0.1267430099331721
epoch: 19673
Epoch 19673/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19673With loss 0.1267430099331721
epoch: 19674
Epoch 19674/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19674With loss 0.1267430099331721
epoch: 19675
Epoch 19675/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19675With loss 0.1267430099331721
epoch: 19676
Epoch 19676/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19676With loss 0.1267430099331721
epoch: 19677
Epoch 19677/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19677With loss 0.1267430099331721
epoch: 19678
Epoch 19678/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19678With loss 0.1267430099331721
epoch: 19679
Epoch 19679/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19679With loss 0.1267430099331721
epoch: 19680
Epoch 19680/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19680With loss 0.1267430099331721
epoch: 19681
Epoch 19681/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19681With loss 0.1267430099331721
epoch: 19682
Epoch 19682/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19682With loss 0.1267430099331721
epoch: 19683
Epoch 19683/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19683With loss 0.1267430099331721
epoch: 19684
Epoch 19684/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19684With loss 0.1267430099331721
epoch: 19685
Epoch 19685/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19685With loss 0.1267430099331721
epoch: 19686
Epoch 19686/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19686With loss 0.1267430099331721
epoch: 19687
Epoch 19687/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19687With loss 0.1267430099331721
epoch: 19688
Epoch 19688/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19688With loss 0.1267430099331721
epoch: 19689
Epoch 19689/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19689With loss 0.1267430099331721
epoch: 19690
Epoch 19690/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19690With loss 0.1267430099331721
epoch: 19691
Epoch 19691/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19691With loss 0.1267430099331721
epoch: 19692
Epoch 19692/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19692With loss 0.1267430099331721
epoch: 19693
Epoch 19693/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19693With loss 0.1267430099331721
epoch: 19694
Epoch 19694/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19694With loss 0.1267430099331721
epoch: 19695
Epoch 19695/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19695With loss 0.1267430099331721
epoch: 19696
Epoch 19696/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19696With loss 0.1267430099331721
epoch: 19697
Epoch 19697/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19697With loss 0.1267430099331721
epoch: 19698
Epoch 19698/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19698With loss 0.1267430099331721
epoch: 19699
Epoch 19699/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19699With loss 0.1267430099331721
epoch: 19700
Epoch 19700/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19700With loss 0.1267430099331721
epoch: 19701
Epoch 19701/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19701With loss 0.1267430099331721
epoch: 19702
Epoch 19702/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19702With loss 0.1267430099331721
epoch: 19703
Epoch 19703/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19703With loss 0.1267430099331721
epoch: 19704
Epoch 19704/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19704With loss 0.1267430099331721
epoch: 19705
Epoch 19705/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19705With loss 0.1267430099331721
epoch: 19706
Epoch 19706/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19706With loss 0.1267430099331721
epoch: 19707
Epoch 19707/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19707With loss 0.1267430099331721
epoch: 19708
Epoch 19708/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19708With loss 0.1267430099331721
epoch: 19709
Epoch 19709/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19709With loss 0.1267430099331721
epoch: 19710
Epoch 19710/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19710With loss 0.1267430099331721
epoch: 19711
Epoch 19711/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19711With loss 0.1267430099331721
epoch: 19712
Epoch 19712/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19712With loss 0.1267430099331721
epoch: 19713
Epoch 19713/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19713With loss 0.1267430099331721
epoch: 19714
Epoch 19714/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19714With loss 0.1267430099331721
epoch: 19715
Epoch 19715/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19715With loss 0.1267430099331721
epoch: 19716
Epoch 19716/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19716With loss 0.1267430099331721
epoch: 19717
Epoch 19717/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19717With loss 0.1267430099331721
epoch: 19718
Epoch 19718/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19718With loss 0.1267430099331721
epoch: 19719
Epoch 19719/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19719With loss 0.1267430099331721
epoch: 19720
Epoch 19720/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19720With loss 0.1267430099331721
epoch: 19721
Epoch 19721/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19721With loss 0.1267430099331721
epoch: 19722
Epoch 19722/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19722With loss 0.1267430099331721
epoch: 19723
Epoch 19723/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19723With loss 0.1267430099331721
epoch: 19724
Epoch 19724/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19724With loss 0.1267430099331721
epoch: 19725
Epoch 19725/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19725With loss 0.1267430099331721
epoch: 19726
Epoch 19726/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19726With loss 0.1267430099331721
epoch: 19727
Epoch 19727/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19727With loss 0.1267430099331721
epoch: 19728
Epoch 19728/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19728With loss 0.1267430099331721
epoch: 19729
Epoch 19729/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19729With loss 0.1267430099331721
epoch: 19730
Epoch 19730/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19730With loss 0.1267430099331721
epoch: 19731
Epoch 19731/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19731With loss 0.1267430099331721
epoch: 19732
Epoch 19732/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19732With loss 0.1267430099331721
epoch: 19733
Epoch 19733/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19733With loss 0.1267430099331721
epoch: 19734
Epoch 19734/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19734With loss 0.1267430099331721
epoch: 19735
Epoch 19735/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19735With loss 0.1267430099331721
epoch: 19736
Epoch 19736/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19736With loss 0.1267430099331721
epoch: 19737
Epoch 19737/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19737With loss 0.1267430099331721
epoch: 19738
Epoch 19738/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19738With loss 0.1267430099331721
epoch: 19739
Epoch 19739/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19739With loss 0.1267430099331721
epoch: 19740
Epoch 19740/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19740With loss 0.1267430099331721
epoch: 19741
Epoch 19741/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19741With loss 0.1267430099331721
epoch: 19742
Epoch 19742/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19742With loss 0.1267430099331721
epoch: 19743
Epoch 19743/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19743With loss 0.1267430099331721
epoch: 19744
Epoch 19744/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19744With loss 0.1267430099331721
epoch: 19745
Epoch 19745/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19745With loss 0.1267430099331721
epoch: 19746
Epoch 19746/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19746With loss 0.1267430099331721
epoch: 19747
Epoch 19747/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19747With loss 0.1267430099331721
epoch: 19748
Epoch 19748/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19748With loss 0.1267430099331721
epoch: 19749
Epoch 19749/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19749With loss 0.1267430099331721
epoch: 19750
Epoch 19750/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19750With loss 0.1267430099331721
epoch: 19751
Epoch 19751/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19751With loss 0.1267430099331721
epoch: 19752
Epoch 19752/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19752With loss 0.1267430099331721
epoch: 19753
Epoch 19753/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19753With loss 0.1267430099331721
epoch: 19754
Epoch 19754/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19754With loss 0.1267430099331721
epoch: 19755
Epoch 19755/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19755With loss 0.1267430099331721
epoch: 19756
Epoch 19756/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19756With loss 0.1267430099331721
epoch: 19757
Epoch 19757/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19757With loss 0.1267430099331721
epoch: 19758
Epoch 19758/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19758With loss 0.1267430099331721
epoch: 19759
Epoch 19759/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19759With loss 0.1267430099331721
epoch: 19760
Epoch 19760/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19760With loss 0.1267430099331721
epoch: 19761
Epoch 19761/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19761With loss 0.1267430099331721
epoch: 19762
Epoch 19762/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19762With loss 0.1267430099331721
epoch: 19763
Epoch 19763/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19763With loss 0.1267430099331721
epoch: 19764
Epoch 19764/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19764With loss 0.1267430099331721
epoch: 19765
Epoch 19765/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19765With loss 0.1267430099331721
epoch: 19766
Epoch 19766/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19766With loss 0.1267430099331721
epoch: 19767
Epoch 19767/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19767With loss 0.1267430099331721
epoch: 19768
Epoch 19768/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19768With loss 0.1267430099331721
epoch: 19769
Epoch 19769/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19769With loss 0.1267430099331721
epoch: 19770
Epoch 19770/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19770With loss 0.1267430099331721
epoch: 19771
Epoch 19771/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19771With loss 0.1267430099331721
epoch: 19772
Epoch 19772/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19772With loss 0.1267430099331721
epoch: 19773
Epoch 19773/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19773With loss 0.1267430099331721
epoch: 19774
Epoch 19774/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19774With loss 0.1267430099331721
epoch: 19775
Epoch 19775/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19775With loss 0.1267430099331721
epoch: 19776
Epoch 19776/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19776With loss 0.1267430099331721
epoch: 19777
Epoch 19777/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19777With loss 0.1267430099331721
epoch: 19778
Epoch 19778/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19778With loss 0.1267430099331721
epoch: 19779
Epoch 19779/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19779With loss 0.1267430099331721
epoch: 19780
Epoch 19780/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19780With loss 0.1267430099331721
epoch: 19781
Epoch 19781/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19781With loss 0.1267430099331721
epoch: 19782
Epoch 19782/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19782With loss 0.1267430099331721
epoch: 19783
Epoch 19783/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19783With loss 0.1267430099331721
epoch: 19784
Epoch 19784/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19784With loss 0.1267430099331721
epoch: 19785
Epoch 19785/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19785With loss 0.1267430099331721
epoch: 19786
Epoch 19786/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19786With loss 0.1267430099331721
epoch: 19787
Epoch 19787/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19787With loss 0.1267430099331721
epoch: 19788
Epoch 19788/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19788With loss 0.1267430099331721
epoch: 19789
Epoch 19789/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19789With loss 0.1267430099331721
epoch: 19790
Epoch 19790/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19790With loss 0.1267430099331721
epoch: 19791
Epoch 19791/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19791With loss 0.1267430099331721
epoch: 19792
Epoch 19792/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19792With loss 0.1267430099331721
epoch: 19793
Epoch 19793/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19793With loss 0.1267430099331721
epoch: 19794
Epoch 19794/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19794With loss 0.1267430099331721
epoch: 19795
Epoch 19795/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19795With loss 0.1267430099331721
epoch: 19796
Epoch 19796/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19796With loss 0.1267430099331721
epoch: 19797
Epoch 19797/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19797With loss 0.1267430099331721
epoch: 19798
Epoch 19798/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19798With loss 0.1267430099331721
epoch: 19799
Epoch 19799/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19799With loss 0.1267430099331721
epoch: 19800
Epoch 19800/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19800With loss 0.1267430099331721
epoch: 19801
Epoch 19801/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19801With loss 0.1267430099331721
epoch: 19802
Epoch 19802/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19802With loss 0.1267430099331721
epoch: 19803
Epoch 19803/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19803With loss 0.1267430099331721
epoch: 19804
Epoch 19804/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19804With loss 0.1267430099331721
epoch: 19805
Epoch 19805/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19805With loss 0.1267430099331721
epoch: 19806
Epoch 19806/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19806With loss 0.1267430099331721
epoch: 19807
Epoch 19807/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19807With loss 0.1267430099331721
epoch: 19808
Epoch 19808/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19808With loss 0.1267430099331721
epoch: 19809
Epoch 19809/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19809With loss 0.1267430099331721
epoch: 19810
Epoch 19810/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19810With loss 0.1267430099331721
epoch: 19811
Epoch 19811/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19811With loss 0.1267430099331721
epoch: 19812
Epoch 19812/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19812With loss 0.1267430099331721
epoch: 19813
Epoch 19813/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19813With loss 0.1267430099331721
epoch: 19814
Epoch 19814/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19814With loss 0.1267430099331721
epoch: 19815
Epoch 19815/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19815With loss 0.1267430099331721
epoch: 19816
Epoch 19816/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19816With loss 0.1267430099331721
epoch: 19817
Epoch 19817/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19817With loss 0.1267430099331721
epoch: 19818
Epoch 19818/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19818With loss 0.1267430099331721
epoch: 19819
Epoch 19819/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19819With loss 0.1267430099331721
epoch: 19820
Epoch 19820/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19820With loss 0.1267430099331721
epoch: 19821
Epoch 19821/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19821With loss 0.1267430099331721
epoch: 19822
Epoch 19822/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19822With loss 0.1267430099331721
epoch: 19823
Epoch 19823/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19823With loss 0.1267430099331721
epoch: 19824
Epoch 19824/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19824With loss 0.1267430099331721
epoch: 19825
Epoch 19825/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19825With loss 0.1267430099331721
epoch: 19826
Epoch 19826/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19826With loss 0.1267430099331721
epoch: 19827
Epoch 19827/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19827With loss 0.1267430099331721
epoch: 19828
Epoch 19828/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19828With loss 0.1267430099331721
epoch: 19829
Epoch 19829/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19829With loss 0.1267430099331721
epoch: 19830
Epoch 19830/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19830With loss 0.1267430099331721
epoch: 19831
Epoch 19831/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19831With loss 0.1267430099331721
epoch: 19832
Epoch 19832/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19832With loss 0.1267430099331721
epoch: 19833
Epoch 19833/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19833With loss 0.1267430099331721
epoch: 19834
Epoch 19834/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19834With loss 0.1267430099331721
epoch: 19835
Epoch 19835/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19835With loss 0.1267430099331721
epoch: 19836
Epoch 19836/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19836With loss 0.1267430099331721
epoch: 19837
Epoch 19837/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19837With loss 0.1267430099331721
epoch: 19838
Epoch 19838/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19838With loss 0.1267430099331721
epoch: 19839
Epoch 19839/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19839With loss 0.1267430099331721
epoch: 19840
Epoch 19840/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19840With loss 0.1267430099331721
epoch: 19841
Epoch 19841/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19841With loss 0.1267430099331721
epoch: 19842
Epoch 19842/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19842With loss 0.1267430099331721
epoch: 19843
Epoch 19843/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19843With loss 0.1267430099331721
epoch: 19844
Epoch 19844/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19844With loss 0.1267430099331721
epoch: 19845
Epoch 19845/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19845With loss 0.1267430099331721
epoch: 19846
Epoch 19846/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19846With loss 0.1267430099331721
epoch: 19847
Epoch 19847/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19847With loss 0.1267430099331721
epoch: 19848
Epoch 19848/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19848With loss 0.1267430099331721
epoch: 19849
Epoch 19849/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19849With loss 0.1267430099331721
epoch: 19850
Epoch 19850/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19850With loss 0.1267430099331721
epoch: 19851
Epoch 19851/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19851With loss 0.1267430099331721
epoch: 19852
Epoch 19852/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19852With loss 0.1267430099331721
epoch: 19853
Epoch 19853/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19853With loss 0.1267430099331721
epoch: 19854
Epoch 19854/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19854With loss 0.1267430099331721
epoch: 19855
Epoch 19855/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19855With loss 0.1267430099331721
epoch: 19856
Epoch 19856/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19856With loss 0.1267430099331721
epoch: 19857
Epoch 19857/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19857With loss 0.1267430099331721
epoch: 19858
Epoch 19858/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19858With loss 0.1267430099331721
epoch: 19859
Epoch 19859/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19859With loss 0.1267430099331721
epoch: 19860
Epoch 19860/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19860With loss 0.1267430099331721
epoch: 19861
Epoch 19861/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19861With loss 0.1267430099331721
epoch: 19862
Epoch 19862/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19862With loss 0.1267430099331721
epoch: 19863
Epoch 19863/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19863With loss 0.1267430099331721
epoch: 19864
Epoch 19864/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19864With loss 0.1267430099331721
epoch: 19865
Epoch 19865/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19865With loss 0.1267430099331721
epoch: 19866
Epoch 19866/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19866With loss 0.1267430099331721
epoch: 19867
Epoch 19867/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19867With loss 0.1267430099331721
epoch: 19868
Epoch 19868/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19868With loss 0.1267430099331721
epoch: 19869
Epoch 19869/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19869With loss 0.1267430099331721
epoch: 19870
Epoch 19870/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19870With loss 0.1267430099331721
epoch: 19871
Epoch 19871/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19871With loss 0.1267430099331721
epoch: 19872
Epoch 19872/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19872With loss 0.1267430099331721
epoch: 19873
Epoch 19873/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19873With loss 0.1267430099331721
epoch: 19874
Epoch 19874/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19874With loss 0.1267430099331721
epoch: 19875
Epoch 19875/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19875With loss 0.1267430099331721
epoch: 19876
Epoch 19876/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19876With loss 0.1267430099331721
epoch: 19877
Epoch 19877/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19877With loss 0.1267430099331721
epoch: 19878
Epoch 19878/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19878With loss 0.1267430099331721
epoch: 19879
Epoch 19879/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19879With loss 0.1267430099331721
epoch: 19880
Epoch 19880/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19880With loss 0.1267430099331721
epoch: 19881
Epoch 19881/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19881With loss 0.1267430099331721
epoch: 19882
Epoch 19882/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19882With loss 0.1267430099331721
epoch: 19883
Epoch 19883/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19883With loss 0.1267430099331721
epoch: 19884
Epoch 19884/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19884With loss 0.1267430099331721
epoch: 19885
Epoch 19885/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19885With loss 0.1267430099331721
epoch: 19886
Epoch 19886/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19886With loss 0.1267430099331721
epoch: 19887
Epoch 19887/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19887With loss 0.1267430099331721
epoch: 19888
Epoch 19888/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19888With loss 0.1267430099331721
epoch: 19889
Epoch 19889/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19889With loss 0.1267430099331721
epoch: 19890
Epoch 19890/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19890With loss 0.1267430099331721
epoch: 19891
Epoch 19891/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19891With loss 0.1267430099331721
epoch: 19892
Epoch 19892/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19892With loss 0.1267430099331721
epoch: 19893
Epoch 19893/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19893With loss 0.1267430099331721
epoch: 19894
Epoch 19894/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19894With loss 0.1267430099331721
epoch: 19895
Epoch 19895/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19895With loss 0.1267430099331721
epoch: 19896
Epoch 19896/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19896With loss 0.1267430099331721
epoch: 19897
Epoch 19897/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19897With loss 0.1267430099331721
epoch: 19898
Epoch 19898/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19898With loss 0.1267430099331721
epoch: 19899
Epoch 19899/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19899With loss 0.1267430099331721
epoch: 19900
Epoch 19900/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19900With loss 0.1267430099331721
epoch: 19901
Epoch 19901/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19901With loss 0.1267430099331721
epoch: 19902
Epoch 19902/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19902With loss 0.1267430099331721
epoch: 19903
Epoch 19903/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19903With loss 0.1267430099331721
epoch: 19904
Epoch 19904/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19904With loss 0.1267430099331721
epoch: 19905
Epoch 19905/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19905With loss 0.1267430099331721
epoch: 19906
Epoch 19906/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19906With loss 0.1267430099331721
epoch: 19907
Epoch 19907/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19907With loss 0.1267430099331721
epoch: 19908
Epoch 19908/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19908With loss 0.1267430099331721
epoch: 19909
Epoch 19909/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19909With loss 0.1267430099331721
epoch: 19910
Epoch 19910/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19910With loss 0.1267430099331721
epoch: 19911
Epoch 19911/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19911With loss 0.1267430099331721
epoch: 19912
Epoch 19912/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19912With loss 0.1267430099331721
epoch: 19913
Epoch 19913/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19913With loss 0.1267430099331721
epoch: 19914
Epoch 19914/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19914With loss 0.1267430099331721
epoch: 19915
Epoch 19915/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19915With loss 0.1267430099331721
epoch: 19916
Epoch 19916/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19916With loss 0.1267430099331721
epoch: 19917
Epoch 19917/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19917With loss 0.1267430099331721
epoch: 19918
Epoch 19918/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19918With loss 0.1267430099331721
epoch: 19919
Epoch 19919/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19919With loss 0.1267430099331721
epoch: 19920
Epoch 19920/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19920With loss 0.1267430099331721
epoch: 19921
Epoch 19921/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19921With loss 0.1267430099331721
epoch: 19922
Epoch 19922/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19922With loss 0.1267430099331721
epoch: 19923
Epoch 19923/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19923With loss 0.1267430099331721
epoch: 19924
Epoch 19924/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19924With loss 0.1267430099331721
epoch: 19925
Epoch 19925/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19925With loss 0.1267430099331721
epoch: 19926
Epoch 19926/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19926With loss 0.1267430099331721
epoch: 19927
Epoch 19927/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19927With loss 0.1267430099331721
epoch: 19928
Epoch 19928/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19928With loss 0.1267430099331721
epoch: 19929
Epoch 19929/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19929With loss 0.1267430099331721
epoch: 19930
Epoch 19930/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19930With loss 0.1267430099331721
epoch: 19931
Epoch 19931/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19931With loss 0.1267430099331721
epoch: 19932
Epoch 19932/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19932With loss 0.1267430099331721
epoch: 19933
Epoch 19933/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19933With loss 0.1267430099331721
epoch: 19934
Epoch 19934/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19934With loss 0.1267430099331721
epoch: 19935
Epoch 19935/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19935With loss 0.1267430099331721
epoch: 19936
Epoch 19936/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19936With loss 0.1267430099331721
epoch: 19937
Epoch 19937/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19937With loss 0.1267430099331721
epoch: 19938
Epoch 19938/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19938With loss 0.1267430099331721
epoch: 19939
Epoch 19939/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19939With loss 0.1267430099331721
epoch: 19940
Epoch 19940/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19940With loss 0.1267430099331721
epoch: 19941
Epoch 19941/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19941With loss 0.1267430099331721
epoch: 19942
Epoch 19942/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19942With loss 0.1267430099331721
epoch: 19943
Epoch 19943/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19943With loss 0.1267430099331721
epoch: 19944
Epoch 19944/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19944With loss 0.1267430099331721
epoch: 19945
Epoch 19945/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19945With loss 0.1267430099331721
epoch: 19946
Epoch 19946/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19946With loss 0.1267430099331721
epoch: 19947
Epoch 19947/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19947With loss 0.1267430099331721
epoch: 19948
Epoch 19948/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19948With loss 0.1267430099331721
epoch: 19949
Epoch 19949/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19949With loss 0.1267430099331721
epoch: 19950
Epoch 19950/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19950With loss 0.1267430099331721
epoch: 19951
Epoch 19951/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19951With loss 0.1267430099331721
epoch: 19952
Epoch 19952/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19952With loss 0.1267430099331721
epoch: 19953
Epoch 19953/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19953With loss 0.1267430099331721
epoch: 19954
Epoch 19954/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19954With loss 0.1267430099331721
epoch: 19955
Epoch 19955/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19955With loss 0.1267430099331721
epoch: 19956
Epoch 19956/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19956With loss 0.1267430099331721
epoch: 19957
Epoch 19957/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19957With loss 0.1267430099331721
epoch: 19958
Epoch 19958/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19958With loss 0.1267430099331721
epoch: 19959
Epoch 19959/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19959With loss 0.1267430099331721
epoch: 19960
Epoch 19960/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19960With loss 0.1267430099331721
epoch: 19961
Epoch 19961/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19961With loss 0.1267430099331721
epoch: 19962
Epoch 19962/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19962With loss 0.1267430099331721
epoch: 19963
Epoch 19963/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19963With loss 0.1267430099331721
epoch: 19964
Epoch 19964/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19964With loss 0.1267430099331721
epoch: 19965
Epoch 19965/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19965With loss 0.1267430099331721
epoch: 19966
Epoch 19966/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19966With loss 0.1267430099331721
epoch: 19967
Epoch 19967/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19967With loss 0.1267430099331721
epoch: 19968
Epoch 19968/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19968With loss 0.1267430099331721
epoch: 19969
Epoch 19969/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19969With loss 0.1267430099331721
epoch: 19970
Epoch 19970/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19970With loss 0.1267430099331721
epoch: 19971
Epoch 19971/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19971With loss 0.1267430099331721
epoch: 19972
Epoch 19972/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19972With loss 0.1267430099331721
epoch: 19973
Epoch 19973/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19973With loss 0.1267430099331721
epoch: 19974
Epoch 19974/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19974With loss 0.1267430099331721
epoch: 19975
Epoch 19975/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19975With loss 0.1267430099331721
epoch: 19976
Epoch 19976/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19976With loss 0.1267430099331721
epoch: 19977
Epoch 19977/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19977With loss 0.1267430099331721
epoch: 19978
Epoch 19978/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19978With loss 0.1267430099331721
epoch: 19979
Epoch 19979/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19979With loss 0.1267430099331721
epoch: 19980
Epoch 19980/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19980With loss 0.1267430099331721
epoch: 19981
Epoch 19981/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19981With loss 0.1267430099331721
epoch: 19982
Epoch 19982/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19982With loss 0.1267430099331721
epoch: 19983
Epoch 19983/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19983With loss 0.1267430099331721
epoch: 19984
Epoch 19984/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19984With loss 0.1267430099331721
epoch: 19985
Epoch 19985/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19985With loss 0.1267430099331721
epoch: 19986
Epoch 19986/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19986With loss 0.1267430099331721
epoch: 19987
Epoch 19987/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19987With loss 0.1267430099331721
epoch: 19988
Epoch 19988/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19988With loss 0.1267430099331721
epoch: 19989
Epoch 19989/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19989With loss 0.1267430099331721
epoch: 19990
Epoch 19990/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19990With loss 0.1267430099331721
epoch: 19991
Epoch 19991/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19991With loss 0.1267430099331721
epoch: 19992
Epoch 19992/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19992With loss 0.1267430099331721
epoch: 19993
Epoch 19993/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19993With loss 0.1267430099331721
epoch: 19994
Epoch 19994/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19994With loss 0.1267430099331721
epoch: 19995
Epoch 19995/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19995With loss 0.1267430099331721
epoch: 19996
Epoch 19996/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19996With loss 0.1267430099331721
epoch: 19997
Epoch 19997/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19997With loss 0.1267430099331721
epoch: 19998
Epoch 19998/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19998With loss 0.1267430099331721
epoch: 19999
Epoch 19999/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 19999With loss 0.1267430099331721
epoch: 20000
Epoch 20000/20000 - Train Loss: 0.1087 - Val Loss: 0.1267
New best model saved.Epoch 20000With loss 0.1267430099331721
Final Test Loss: 0.10735390810582557
In [65]:
linear_reg_model_results
Out[65]:
{'Test MSE': 0.10735390810582557,
 'Test Variance': 0.00462803670415804,
 'Training SSE': 6.519777153031311,
 'Weights': array([0.11354108, 0.59706048]),
 'Test Predictions': array([0.17614558, 0.55449468, 0.53486729, 0.1445206 , 0.1435579 ,
        0.49789844, 0.30975106, 0.38699935, 0.42571516, 0.1282072 ,
        0.19399106, 0.11939938, 0.17361914, 0.1509515 , 0.22850899,
        0.12507402, 0.58918957, 0.1545058 , 0.44563971, 0.12854019,
        0.35934569, 0.42307477, 0.13649604, 0.14887161]),
 'Test Y': array([[0.05128089],
        [0.50621368],
        [0.36238072],
        [0.02461088],
        [0.04186107],
        [0.31594137],
        [0.55279644],
        [0.20356262],
        [0.62744653],
        [0.02838701],
        [0.38199484],
        [0.06194675],
        [0.        ],
        [0.03599609],
        [0.51953776],
        [0.07701797],
        [0.94539646],
        [0.09505313],
        [0.39451291],
        [0.06045871],
        [0.34274477],
        [1.        ],
        [0.07778869],
        [0.00334834]]),
 'Test X': array([[1.        , 0.10485454],
        [1.        , 0.73854093],
        [1.        , 0.70566755],
        [1.        , 0.05188673],
        [1.        , 0.05027434],
        [1.        , 0.64374946],
        [1.        , 0.32862664],
        [1.        , 0.45800764],
        [1.        , 0.52285168],
        [1.        , 0.02456387],
        [1.        , 0.13474344],
        [1.        , 0.0098119 ],
        [1.        , 0.10062307],
        [1.        , 0.06265766],
        [1.        , 0.19255654],
        [1.        , 0.01931619],
        [1.        , 0.79665043],
        [1.        , 0.06861067],
        [1.        , 0.55622275],
        [1.        , 0.02512158],
        [1.        , 0.4116913 ],
        [1.        , 0.51842937],
        [1.        , 0.03844662],
        [1.        , 0.05917411]]),
 'Train X': array([[1.        , 0.4200342 ],
        [1.        , 0.99003552],
        [1.        , 0.05861999],
        [1.        , 0.06287809],
        [1.        , 0.16061716],
        [1.        , 0.01758102],
        [1.        , 0.26834883],
        [1.        , 0.04747488],
        [1.        , 0.08441668],
        [1.        , 0.06000593],
        [1.        , 0.10231302],
        [1.        , 0.83270938],
        [1.        , 0.14477639],
        [1.        , 0.07557376],
        [1.        , 0.05897609],
        [1.        , 0.61965782],
        [1.        , 0.35197438],
        [1.        , 0.39957923],
        [1.        , 0.47092934],
        [1.        , 0.5249551 ],
        [1.        , 0.07063242],
        [1.        , 0.02667966],
        [1.        , 0.73586119],
        [1.        , 0.0543546 ],
        [1.        , 1.        ],
        [1.        , 0.14115758],
        [1.        , 0.04990376],
        [1.        , 0.59222961],
        [1.        , 0.03852851],
        [1.        , 0.02871397],
        [1.        , 0.14231285],
        [1.        , 0.63923501],
        [1.        , 0.0192567 ],
        [1.        , 0.16200099],
        [1.        , 0.90243559],
        [1.        , 0.33592332],
        [1.        , 0.13173687],
        [1.        , 0.05633408],
        [1.        , 0.38135607],
        [1.        , 0.92622988],
        [1.        , 0.31260042],
        [1.        , 0.22370553],
        [1.        , 0.06231636],
        [1.        , 0.00513842],
        [1.        , 0.00641446],
        [1.        , 0.30881952],
        [1.        , 0.00793101],
        [1.        , 0.97278207],
        [1.        , 0.00104294],
        [1.        , 0.03577998],
        [1.        , 0.31322956],
        [1.        , 0.54872572],
        [1.        , 0.79207628],
        [1.        , 0.10428193],
        [1.        , 0.67437369],
        [1.        , 0.01525062],
        [1.        , 0.05995648],
        [1.        , 0.05055985],
        [1.        , 0.01976644],
        [1.        , 0.        ]]),
 'Train Y': array([[2.37808128e-01],
        [6.77523461e-01],
        [2.01888395e-02],
        [1.91033017e-02],
        [2.01535550e-01],
        [1.33984130e-02],
        [7.34992242e-01],
        [1.02372670e-02],
        [4.46816029e-03],
        [2.29578003e-02],
        [5.46154775e-02],
        [4.34926892e-01],
        [7.97186056e-01],
        [9.47119118e-02],
        [8.48581226e-01],
        [3.93732683e-01],
        [8.01826139e-01],
        [6.20151563e-01],
        [4.19046628e-01],
        [2.69683236e-01],
        [2.36421524e-02],
        [6.24027501e-02],
        [4.52383784e-01],
        [7.52036825e-02],
        [7.32441420e-01],
        [1.83732082e-01],
        [2.17559621e-02],
        [3.68493776e-01],
        [4.69345945e-02],
        [2.06431190e-02],
        [3.21026829e-01],
        [1.19590388e-01],
        [7.85534374e-02],
        [2.02731826e-01],
        [8.54771745e-01],
        [4.56070406e-01],
        [4.46764351e-01],
        [7.85887320e-04],
        [5.93301340e-01],
        [5.67179157e-01],
        [3.36761364e-01],
        [3.58935097e-01],
        [9.70106145e-02],
        [5.34610696e-02],
        [5.50947363e-02],
        [8.96603381e-01],
        [1.16583568e-02],
        [7.58538927e-01],
        [5.63595790e-02],
        [3.02510491e-02],
        [3.86064947e-01],
        [3.09473750e-01],
        [5.05386832e-01],
        [7.63668887e-02],
        [2.96466308e-01],
        [6.11718873e-02],
        [7.87006838e-02],
        [5.40972834e-02],
        [1.35926853e-02],
        [4.29471088e-02]]),
 'Train Predictions': array([0.36432691, 0.70465217, 0.14854076, 0.1510831 , 0.20943924,
        0.12403801, 0.27376156, 0.14188646, 0.16394295, 0.14936825,
        0.17462814, 0.61071895, 0.19998134, 0.15866319, 0.14875337,
        0.48351428, 0.32369107, 0.35211405, 0.39471438, 0.42697103,
        0.15571291, 0.12947045, 0.55289472, 0.14599407, 0.71060156,
        0.1978207 , 0.14333665, 0.46713798, 0.13654493, 0.13068506,
        0.19851046, 0.49520304, 0.1250385 , 0.21026547, 0.65234971,
        0.31410762, 0.19219596, 0.14717593, 0.34123372, 0.66655634,
        0.30018244, 0.24710681, 0.15074772, 0.11660903, 0.1173709 ,
        0.29792501, 0.11827637, 0.69435081, 0.11416378, 0.1349039 ,
        0.30055808, 0.44116353, 0.58645853, 0.1758037 , 0.51618296,
        0.12264663, 0.14933872, 0.14372837, 0.12534284, 0.11354108])}
In [66]:
from sklearn.metrics import r2_score
r2_score(linear_reg_model_results['Test Y'], linear_reg_model_results['Test Predictions'])
Out[66]:
0.5364606974290856
In [67]:
polynomial_reg_model_results = learning_model(df, 3, polynomial_regression, 10000, 0.5, mean_sqaured_error)
epoch: 1
Epoch 1/10000 - Train Loss: 1.0021 - Val Loss: 0.0670
New best model saved.Epoch 1With loss 0.06703549462494307
epoch: 2
Epoch 2/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3
Epoch 3/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4
Epoch 4/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5
Epoch 5/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6
Epoch 6/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7
Epoch 7/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8
Epoch 8/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9
Epoch 9/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 10
Epoch 10/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 11
Epoch 11/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 12
Epoch 12/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 13
Epoch 13/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 14
Epoch 14/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 15
Epoch 15/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 16
Epoch 16/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 17
Epoch 17/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 18
Epoch 18/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 19
Epoch 19/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 20
Epoch 20/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 21
Epoch 21/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 22
Epoch 22/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 23
Epoch 23/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 24
Epoch 24/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 25
Epoch 25/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 26
Epoch 26/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 27
Epoch 27/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 28
Epoch 28/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 29
Epoch 29/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 30
Epoch 30/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 31
Epoch 31/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 32
Epoch 32/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 33
Epoch 33/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 34
Epoch 34/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 35
Epoch 35/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 36
Epoch 36/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 37
Epoch 37/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 38
Epoch 38/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 39
Epoch 39/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 40
Epoch 40/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 41
Epoch 41/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 42
Epoch 42/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 43
Epoch 43/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 44
Epoch 44/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 45
Epoch 45/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 46
Epoch 46/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 47
Epoch 47/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 48
Epoch 48/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 49
Epoch 49/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 50
Epoch 50/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 51
Epoch 51/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 52
Epoch 52/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 53
Epoch 53/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 54
Epoch 54/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 55
Epoch 55/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 56
Epoch 56/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 57
Epoch 57/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 58
Epoch 58/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 59
Epoch 59/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 60
Epoch 60/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 61
Epoch 61/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 62
Epoch 62/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 63
Epoch 63/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 64
Epoch 64/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 65
Epoch 65/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 66
Epoch 66/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 67
Epoch 67/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 68
Epoch 68/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 69
Epoch 69/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 70
Epoch 70/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 71
Epoch 71/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 72
Epoch 72/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 73
Epoch 73/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 74
Epoch 74/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 75
Epoch 75/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 76
Epoch 76/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 77
Epoch 77/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 78
Epoch 78/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 79
Epoch 79/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 80
Epoch 80/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 81
Epoch 81/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 82
Epoch 82/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 83
Epoch 83/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 84
Epoch 84/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 85
Epoch 85/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 86
Epoch 86/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 87
Epoch 87/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 88
Epoch 88/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 89
Epoch 89/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 90
Epoch 90/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 91
Epoch 91/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 92
Epoch 92/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 93
Epoch 93/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 94
Epoch 94/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 95
Epoch 95/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 96
Epoch 96/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 97
Epoch 97/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 98
Epoch 98/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 99
Epoch 99/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 100
Epoch 100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 101
Epoch 101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 102
Epoch 102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 103
Epoch 103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 104
Epoch 104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 105
Epoch 105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 106
Epoch 106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 107
Epoch 107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 108
Epoch 108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 109
Epoch 109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 110
Epoch 110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 111
Epoch 111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 112
Epoch 112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 113
Epoch 113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 114
Epoch 114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 115
Epoch 115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 116
Epoch 116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 117
Epoch 117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 118
Epoch 118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 119
Epoch 119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 120
Epoch 120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 121
Epoch 121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 122
Epoch 122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 123
Epoch 123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 124
Epoch 124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 125
Epoch 125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 126
Epoch 126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 127
Epoch 127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 128
Epoch 128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 129
Epoch 129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 130
Epoch 130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 131
Epoch 131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 132
Epoch 132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 133
Epoch 133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 134
Epoch 134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 135
Epoch 135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 136
Epoch 136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 137
Epoch 137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 138
Epoch 138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 139
Epoch 139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 140
Epoch 140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 141
Epoch 141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 142
Epoch 142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 143
Epoch 143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 144
Epoch 144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 145
Epoch 145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 146
Epoch 146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 147
Epoch 147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 148
Epoch 148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 149
Epoch 149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 150
Epoch 150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 151
Epoch 151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 152
Epoch 152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 153
Epoch 153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 154
Epoch 154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 155
Epoch 155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 156
Epoch 156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 157
Epoch 157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 158
Epoch 158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 159
Epoch 159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 160
Epoch 160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 161
Epoch 161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 162
Epoch 162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 163
Epoch 163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 164
Epoch 164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 165
Epoch 165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 166
Epoch 166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 167
Epoch 167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 168
Epoch 168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 169
Epoch 169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 170
Epoch 170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 171
Epoch 171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 172
Epoch 172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 173
Epoch 173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 174
Epoch 174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 175
Epoch 175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 176
Epoch 176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 177
Epoch 177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 178
Epoch 178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 179
Epoch 179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 180
Epoch 180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 181
Epoch 181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 182
Epoch 182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 183
Epoch 183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 184
Epoch 184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 185
Epoch 185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 186
Epoch 186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 187
Epoch 187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 188
Epoch 188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 189
Epoch 189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 190
Epoch 190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 191
Epoch 191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 192
Epoch 192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 193
Epoch 193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 194
Epoch 194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 195
Epoch 195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 196
Epoch 196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 197
Epoch 197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 198
Epoch 198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 199
Epoch 199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 200
Epoch 200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 201
Epoch 201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 202
Epoch 202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 203
Epoch 203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 204
Epoch 204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 205
Epoch 205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 206
Epoch 206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 207
Epoch 207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 208
Epoch 208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 209
Epoch 209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 210
Epoch 210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 211
Epoch 211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 212
Epoch 212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 213
Epoch 213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 214
Epoch 214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 215
Epoch 215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 216
Epoch 216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 217
Epoch 217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 218
Epoch 218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 219
Epoch 219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 220
Epoch 220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 221
Epoch 221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 222
Epoch 222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 223
Epoch 223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 224
Epoch 224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 225
Epoch 225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 226
Epoch 226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 227
Epoch 227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 228
Epoch 228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 229
Epoch 229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 230
Epoch 230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 231
Epoch 231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 232
Epoch 232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 233
Epoch 233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 234
Epoch 234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 235
Epoch 235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 236
Epoch 236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 237
Epoch 237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 238
Epoch 238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 239
Epoch 239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 240
Epoch 240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 241
Epoch 241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 242
Epoch 242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 243
Epoch 243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 244
Epoch 244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 245
Epoch 245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 246
Epoch 246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 247
Epoch 247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 248
Epoch 248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 249
Epoch 249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 250
Epoch 250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 251
Epoch 251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 252
Epoch 252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 253
Epoch 253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 254
Epoch 254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 255
Epoch 255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 256
Epoch 256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 257
Epoch 257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 258
Epoch 258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 259
Epoch 259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 260
Epoch 260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 261
Epoch 261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 262
Epoch 262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 263
Epoch 263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 264
Epoch 264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 265
Epoch 265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 266
Epoch 266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 267
Epoch 267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 268
Epoch 268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 269
Epoch 269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 270
Epoch 270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 271
Epoch 271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 272
Epoch 272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 273
Epoch 273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 274
Epoch 274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 275
Epoch 275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 276
Epoch 276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 277
Epoch 277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 278
Epoch 278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 279
Epoch 279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 280
Epoch 280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 281
Epoch 281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 282
Epoch 282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 283
Epoch 283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 284
Epoch 284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 285
Epoch 285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 286
Epoch 286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 287
Epoch 287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 288
Epoch 288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 289
Epoch 289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 290
Epoch 290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 291
Epoch 291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 292
Epoch 292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 293
Epoch 293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 294
Epoch 294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 295
Epoch 295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 296
Epoch 296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 297
Epoch 297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 298
Epoch 298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 299
Epoch 299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 300
Epoch 300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 301
Epoch 301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 302
Epoch 302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 303
Epoch 303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 304
Epoch 304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 305
Epoch 305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 306
Epoch 306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 307
Epoch 307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 308
Epoch 308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 309
Epoch 309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 310
Epoch 310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 311
Epoch 311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 312
Epoch 312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 313
Epoch 313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 314
Epoch 314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 315
Epoch 315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 316
Epoch 316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 317
Epoch 317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 318
Epoch 318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 319
Epoch 319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 320
Epoch 320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 321
Epoch 321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 322
Epoch 322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 323
Epoch 323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 324
Epoch 324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 325
Epoch 325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 326
Epoch 326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 327
Epoch 327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 328
Epoch 328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 329
Epoch 329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 330
Epoch 330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 331
Epoch 331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 332
Epoch 332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 333
Epoch 333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 334
Epoch 334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 335
Epoch 335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 336
Epoch 336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 337
Epoch 337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 338
Epoch 338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 339
Epoch 339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 340
Epoch 340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 341
Epoch 341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 342
Epoch 342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 343
Epoch 343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 344
Epoch 344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 345
Epoch 345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 346
Epoch 346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 347
Epoch 347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 348
Epoch 348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 349
Epoch 349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 350
Epoch 350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 351
Epoch 351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 352
Epoch 352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 353
Epoch 353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 354
Epoch 354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 355
Epoch 355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 356
Epoch 356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 357
Epoch 357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 358
Epoch 358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 359
Epoch 359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 360
Epoch 360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 361
Epoch 361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 362
Epoch 362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 363
Epoch 363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 364
Epoch 364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 365
Epoch 365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 366
Epoch 366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 367
Epoch 367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 368
Epoch 368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 369
Epoch 369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 370
Epoch 370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 371
Epoch 371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 372
Epoch 372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 373
Epoch 373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 374
Epoch 374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 375
Epoch 375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 376
Epoch 376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 377
Epoch 377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 378
Epoch 378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 379
Epoch 379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 380
Epoch 380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 381
Epoch 381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 382
Epoch 382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 383
Epoch 383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 384
Epoch 384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 385
Epoch 385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 386
Epoch 386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 387
Epoch 387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 388
Epoch 388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 389
Epoch 389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 390
Epoch 390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 391
Epoch 391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 392
Epoch 392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 393
Epoch 393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 394
Epoch 394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 395
Epoch 395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 396
Epoch 396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 397
Epoch 397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 398
Epoch 398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 399
Epoch 399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 400
Epoch 400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 401
Epoch 401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 402
Epoch 402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 403
Epoch 403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 404
Epoch 404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 405
Epoch 405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 406
Epoch 406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 407
Epoch 407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 408
Epoch 408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 409
Epoch 409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 410
Epoch 410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 411
Epoch 411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 412
Epoch 412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 413
Epoch 413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 414
Epoch 414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 415
Epoch 415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 416
Epoch 416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 417
Epoch 417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 418
Epoch 418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 419
Epoch 419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 420
Epoch 420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 421
Epoch 421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 422
Epoch 422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 423
Epoch 423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 424
Epoch 424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 425
Epoch 425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 426
Epoch 426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 427
Epoch 427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 428
Epoch 428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 429
Epoch 429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 430
Epoch 430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 431
Epoch 431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 432
Epoch 432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 433
Epoch 433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 434
Epoch 434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 435
Epoch 435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 436
Epoch 436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 437
Epoch 437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 438
Epoch 438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 439
Epoch 439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 440
Epoch 440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 441
Epoch 441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 442
Epoch 442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 443
Epoch 443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 444
Epoch 444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 445
Epoch 445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 446
Epoch 446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 447
Epoch 447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 448
Epoch 448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 449
Epoch 449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 450
Epoch 450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 451
Epoch 451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 452
Epoch 452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 453
Epoch 453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 454
Epoch 454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 455
Epoch 455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 456
Epoch 456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 457
Epoch 457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 458
Epoch 458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 459
Epoch 459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 460
Epoch 460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 461
Epoch 461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 462
Epoch 462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 463
Epoch 463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 464
Epoch 464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 465
Epoch 465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 466
Epoch 466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 467
Epoch 467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 468
Epoch 468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 469
Epoch 469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 470
Epoch 470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 471
Epoch 471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 472
Epoch 472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 473
Epoch 473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 474
Epoch 474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 475
Epoch 475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 476
Epoch 476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 477
Epoch 477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 478
Epoch 478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 479
Epoch 479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 480
Epoch 480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 481
Epoch 481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 482
Epoch 482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 483
Epoch 483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 484
Epoch 484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 485
Epoch 485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 486
Epoch 486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 487
Epoch 487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 488
Epoch 488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 489
Epoch 489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 490
Epoch 490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 491
Epoch 491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 492
Epoch 492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 493
Epoch 493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 494
Epoch 494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 495
Epoch 495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 496
Epoch 496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 497
Epoch 497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 498
Epoch 498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 499
Epoch 499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 500
Epoch 500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 501
Epoch 501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 502
Epoch 502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 503
Epoch 503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 504
Epoch 504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 505
Epoch 505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 506
Epoch 506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 507
Epoch 507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 508
Epoch 508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 509
Epoch 509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 510
Epoch 510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 511
Epoch 511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 512
Epoch 512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 513
Epoch 513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 514
Epoch 514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 515
Epoch 515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 516
Epoch 516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 517
Epoch 517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 518
Epoch 518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 519
Epoch 519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 520
Epoch 520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 521
Epoch 521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 522
Epoch 522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 523
Epoch 523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 524
Epoch 524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 525
Epoch 525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 526
Epoch 526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 527
Epoch 527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 528
Epoch 528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 529
Epoch 529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 530
Epoch 530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 531
Epoch 531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 532
Epoch 532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 533
Epoch 533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 534
Epoch 534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 535
Epoch 535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 536
Epoch 536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 537
Epoch 537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 538
Epoch 538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 539
Epoch 539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 540
Epoch 540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 541
Epoch 541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 542
Epoch 542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 543
Epoch 543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 544
Epoch 544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 545
Epoch 545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 546
Epoch 546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 547
Epoch 547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 548
Epoch 548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 549
Epoch 549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 550
Epoch 550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 551
Epoch 551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 552
Epoch 552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 553
Epoch 553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 554
Epoch 554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 555
Epoch 555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 556
Epoch 556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 557
Epoch 557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 558
Epoch 558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 559
Epoch 559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 560
Epoch 560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 561
Epoch 561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 562
Epoch 562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 563
Epoch 563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 564
Epoch 564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 565
Epoch 565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 566
Epoch 566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 567
Epoch 567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 568
Epoch 568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 569
Epoch 569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 570
Epoch 570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 571
Epoch 571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 572
Epoch 572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 573
Epoch 573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 574
Epoch 574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 575
Epoch 575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 576
Epoch 576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 577
Epoch 577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 578
Epoch 578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 579
Epoch 579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 580
Epoch 580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 581
Epoch 581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 582
Epoch 582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 583
Epoch 583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 584
Epoch 584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 585
Epoch 585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 586
Epoch 586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 587
Epoch 587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 588
Epoch 588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 589
Epoch 589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 590
Epoch 590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 591
Epoch 591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 592
Epoch 592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 593
Epoch 593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 594
Epoch 594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 595
Epoch 595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 596
Epoch 596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 597
Epoch 597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 598
Epoch 598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 599
Epoch 599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 600
Epoch 600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 601
Epoch 601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 602
Epoch 602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 603
Epoch 603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 604
Epoch 604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 605
Epoch 605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 606
Epoch 606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 607
Epoch 607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 608
Epoch 608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 609
Epoch 609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 610
Epoch 610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 611
Epoch 611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 612
Epoch 612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 613
Epoch 613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 614
Epoch 614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 615
Epoch 615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 616
Epoch 616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 617
Epoch 617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 618
Epoch 618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 619
Epoch 619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 620
Epoch 620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 621
Epoch 621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 622
Epoch 622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 623
Epoch 623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 624
Epoch 624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 625
Epoch 625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 626
Epoch 626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 627
Epoch 627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 628
Epoch 628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 629
Epoch 629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 630
Epoch 630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 631
Epoch 631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 632
Epoch 632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 633
Epoch 633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 634
Epoch 634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 635
Epoch 635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 636
Epoch 636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 637
Epoch 637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 638
Epoch 638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 639
Epoch 639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 640
Epoch 640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 641
Epoch 641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 642
Epoch 642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 643
Epoch 643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 644
Epoch 644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 645
Epoch 645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 646
Epoch 646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 647
Epoch 647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 648
Epoch 648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 649
Epoch 649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 650
Epoch 650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 651
Epoch 651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 652
Epoch 652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 653
Epoch 653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 654
Epoch 654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 655
Epoch 655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 656
Epoch 656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 657
Epoch 657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 658
Epoch 658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 659
Epoch 659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 660
Epoch 660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 661
Epoch 661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 662
Epoch 662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 663
Epoch 663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 664
Epoch 664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 665
Epoch 665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 666
Epoch 666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 667
Epoch 667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 668
Epoch 668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 669
Epoch 669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 670
Epoch 670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 671
Epoch 671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 672
Epoch 672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 673
Epoch 673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 674
Epoch 674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 675
Epoch 675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 676
Epoch 676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 677
Epoch 677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 678
Epoch 678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 679
Epoch 679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 680
Epoch 680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 681
Epoch 681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 682
Epoch 682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 683
Epoch 683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 684
Epoch 684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 685
Epoch 685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 686
Epoch 686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 687
Epoch 687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 688
Epoch 688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 689
Epoch 689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 690
Epoch 690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 691
Epoch 691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 692
Epoch 692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 693
Epoch 693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 694
Epoch 694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 695
Epoch 695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 696
Epoch 696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 697
Epoch 697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 698
Epoch 698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 699
Epoch 699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 700
Epoch 700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 701
Epoch 701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 702
Epoch 702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 703
Epoch 703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 704
Epoch 704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 705
Epoch 705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 706
Epoch 706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 707
Epoch 707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 708
Epoch 708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 709
Epoch 709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 710
Epoch 710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 711
Epoch 711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 712
Epoch 712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 713
Epoch 713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 714
Epoch 714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 715
Epoch 715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 716
Epoch 716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 717
Epoch 717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 718
Epoch 718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 719
Epoch 719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 720
Epoch 720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 721
Epoch 721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 722
Epoch 722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 723
Epoch 723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 724
Epoch 724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 725
Epoch 725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 726
Epoch 726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 727
Epoch 727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 728
Epoch 728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 729
Epoch 729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 730
Epoch 730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 731
Epoch 731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 732
Epoch 732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 733
Epoch 733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 734
Epoch 734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 735
Epoch 735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 736
Epoch 736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 737
Epoch 737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 738
Epoch 738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 739
Epoch 739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 740
Epoch 740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 741
Epoch 741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 742
Epoch 742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 743
Epoch 743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 744
Epoch 744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 745
Epoch 745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 746
Epoch 746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 747
Epoch 747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 748
Epoch 748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 749
Epoch 749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 750
Epoch 750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 751
Epoch 751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 752
Epoch 752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 753
Epoch 753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 754
Epoch 754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 755
Epoch 755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 756
Epoch 756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 757
Epoch 757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 758
Epoch 758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 759
Epoch 759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 760
Epoch 760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 761
Epoch 761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 762
Epoch 762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 763
Epoch 763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 764
Epoch 764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 765
Epoch 765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 766
Epoch 766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 767
Epoch 767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 768
Epoch 768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 769
Epoch 769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 770
Epoch 770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 771
Epoch 771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 772
Epoch 772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 773
Epoch 773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 774
Epoch 774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 775
Epoch 775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 776
Epoch 776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 777
Epoch 777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 778
Epoch 778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 779
Epoch 779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 780
Epoch 780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 781
Epoch 781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 782
Epoch 782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 783
Epoch 783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 784
Epoch 784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 785
Epoch 785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 786
Epoch 786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 787
Epoch 787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 788
Epoch 788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 789
Epoch 789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 790
Epoch 790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 791
Epoch 791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 792
Epoch 792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 793
Epoch 793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 794
Epoch 794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 795
Epoch 795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 796
Epoch 796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 797
Epoch 797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 798
Epoch 798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 799
Epoch 799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 800
Epoch 800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 801
Epoch 801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 802
Epoch 802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 803
Epoch 803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 804
Epoch 804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 805
Epoch 805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 806
Epoch 806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 807
Epoch 807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 808
Epoch 808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 809
Epoch 809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 810
Epoch 810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 811
Epoch 811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 812
Epoch 812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 813
Epoch 813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 814
Epoch 814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 815
Epoch 815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 816
Epoch 816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 817
Epoch 817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 818
Epoch 818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 819
Epoch 819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 820
Epoch 820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 821
Epoch 821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 822
Epoch 822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 823
Epoch 823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 824
Epoch 824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 825
Epoch 825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 826
Epoch 826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 827
Epoch 827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 828
Epoch 828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 829
Epoch 829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 830
Epoch 830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 831
Epoch 831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 832
Epoch 832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 833
Epoch 833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 834
Epoch 834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 835
Epoch 835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 836
Epoch 836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 837
Epoch 837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 838
Epoch 838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 839
Epoch 839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 840
Epoch 840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 841
Epoch 841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 842
Epoch 842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 843
Epoch 843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 844
Epoch 844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 845
Epoch 845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 846
Epoch 846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 847
Epoch 847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 848
Epoch 848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 849
Epoch 849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 850
Epoch 850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 851
Epoch 851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 852
Epoch 852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 853
Epoch 853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 854
Epoch 854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 855
Epoch 855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 856
Epoch 856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 857
Epoch 857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 858
Epoch 858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 859
Epoch 859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 860
Epoch 860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 861
Epoch 861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 862
Epoch 862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 863
Epoch 863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 864
Epoch 864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 865
Epoch 865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 866
Epoch 866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 867
Epoch 867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 868
Epoch 868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 869
Epoch 869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 870
Epoch 870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 871
Epoch 871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 872
Epoch 872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 873
Epoch 873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 874
Epoch 874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 875
Epoch 875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 876
Epoch 876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 877
Epoch 877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 878
Epoch 878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 879
Epoch 879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 880
Epoch 880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 881
Epoch 881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 882
Epoch 882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 883
Epoch 883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 884
Epoch 884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 885
Epoch 885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 886
Epoch 886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 887
Epoch 887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 888
Epoch 888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 889
Epoch 889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 890
Epoch 890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 891
Epoch 891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 892
Epoch 892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 893
Epoch 893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 894
Epoch 894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 895
Epoch 895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 896
Epoch 896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 897
Epoch 897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 898
Epoch 898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 899
Epoch 899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 900
Epoch 900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 901
Epoch 901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 902
Epoch 902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 903
Epoch 903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 904
Epoch 904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 905
Epoch 905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 906
Epoch 906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 907
Epoch 907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 908
Epoch 908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 909
Epoch 909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 910
Epoch 910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 911
Epoch 911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 912
Epoch 912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 913
Epoch 913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 914
Epoch 914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 915
Epoch 915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 916
Epoch 916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 917
Epoch 917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 918
Epoch 918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 919
Epoch 919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 920
Epoch 920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 921
Epoch 921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 922
Epoch 922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 923
Epoch 923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 924
Epoch 924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 925
Epoch 925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 926
Epoch 926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 927
Epoch 927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 928
Epoch 928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 929
Epoch 929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 930
Epoch 930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 931
Epoch 931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 932
Epoch 932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 933
Epoch 933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 934
Epoch 934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 935
Epoch 935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 936
Epoch 936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 937
Epoch 937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 938
Epoch 938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 939
Epoch 939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 940
Epoch 940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 941
Epoch 941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 942
Epoch 942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 943
Epoch 943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 944
Epoch 944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 945
Epoch 945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 946
Epoch 946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 947
Epoch 947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 948
Epoch 948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 949
Epoch 949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 950
Epoch 950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 951
Epoch 951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 952
Epoch 952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 953
Epoch 953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 954
Epoch 954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 955
Epoch 955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 956
Epoch 956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 957
Epoch 957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 958
Epoch 958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 959
Epoch 959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 960
Epoch 960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 961
Epoch 961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 962
Epoch 962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 963
Epoch 963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 964
Epoch 964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 965
Epoch 965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 966
Epoch 966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 967
Epoch 967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 968
Epoch 968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 969
Epoch 969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 970
Epoch 970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 971
Epoch 971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 972
Epoch 972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 973
Epoch 973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 974
Epoch 974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 975
Epoch 975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 976
Epoch 976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 977
Epoch 977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 978
Epoch 978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 979
Epoch 979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 980
Epoch 980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 981
Epoch 981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 982
Epoch 982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 983
Epoch 983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 984
Epoch 984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 985
Epoch 985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 986
Epoch 986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 987
Epoch 987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 988
Epoch 988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 989
Epoch 989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 990
Epoch 990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 991
Epoch 991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 992
Epoch 992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 993
Epoch 993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 994
Epoch 994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 995
Epoch 995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 996
Epoch 996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 997
Epoch 997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 998
Epoch 998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 999
Epoch 999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1000
Epoch 1000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1001
Epoch 1001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1002
Epoch 1002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1003
Epoch 1003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1004
Epoch 1004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1005
Epoch 1005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1006
Epoch 1006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1007
Epoch 1007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1008
Epoch 1008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1009
Epoch 1009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1010
Epoch 1010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1011
Epoch 1011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1012
Epoch 1012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1013
Epoch 1013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1014
Epoch 1014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1015
Epoch 1015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1016
Epoch 1016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1017
Epoch 1017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1018
Epoch 1018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1019
Epoch 1019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1020
Epoch 1020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1021
Epoch 1021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1022
Epoch 1022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1023
Epoch 1023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1024
Epoch 1024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1025
Epoch 1025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1026
Epoch 1026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1027
Epoch 1027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1028
Epoch 1028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1029
Epoch 1029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1030
Epoch 1030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1031
Epoch 1031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1032
Epoch 1032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1033
Epoch 1033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1034
Epoch 1034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1035
Epoch 1035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1036
Epoch 1036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1037
Epoch 1037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1038
Epoch 1038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1039
Epoch 1039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1040
Epoch 1040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1041
Epoch 1041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1042
Epoch 1042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1043
Epoch 1043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1044
Epoch 1044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1045
Epoch 1045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1046
Epoch 1046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1047
Epoch 1047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1048
Epoch 1048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1049
Epoch 1049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1050
Epoch 1050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1051
Epoch 1051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1052
Epoch 1052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1053
Epoch 1053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1054
Epoch 1054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1055
Epoch 1055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1056
Epoch 1056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1057
Epoch 1057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1058
Epoch 1058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1059
Epoch 1059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1060
Epoch 1060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1061
Epoch 1061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1062
Epoch 1062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1063
Epoch 1063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1064
Epoch 1064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1065
Epoch 1065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1066
Epoch 1066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1067
Epoch 1067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1068
Epoch 1068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1069
Epoch 1069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1070
Epoch 1070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1071
Epoch 1071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1072
Epoch 1072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1073
Epoch 1073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1074
Epoch 1074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1075
Epoch 1075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1076
Epoch 1076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1077
Epoch 1077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1078
Epoch 1078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1079
Epoch 1079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1080
Epoch 1080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1081
Epoch 1081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1082
Epoch 1082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1083
Epoch 1083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1084
Epoch 1084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1085
Epoch 1085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1086
Epoch 1086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1087
Epoch 1087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1088
Epoch 1088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1089
Epoch 1089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1090
Epoch 1090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1091
Epoch 1091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1092
Epoch 1092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1093
Epoch 1093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1094
Epoch 1094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1095
Epoch 1095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1096
Epoch 1096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1097
Epoch 1097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1098
Epoch 1098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1099
Epoch 1099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1100
Epoch 1100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1101
Epoch 1101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1102
Epoch 1102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1103
Epoch 1103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1104
Epoch 1104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1105
Epoch 1105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1106
Epoch 1106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1107
Epoch 1107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1108
Epoch 1108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1109
Epoch 1109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1110
Epoch 1110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1111
Epoch 1111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1112
Epoch 1112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1113
Epoch 1113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1114
Epoch 1114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1115
Epoch 1115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1116
Epoch 1116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1117
Epoch 1117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1118
Epoch 1118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1119
Epoch 1119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1120
Epoch 1120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1121
Epoch 1121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1122
Epoch 1122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1123
Epoch 1123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1124
Epoch 1124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1125
Epoch 1125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1126
Epoch 1126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1127
Epoch 1127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1128
Epoch 1128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1129
Epoch 1129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1130
Epoch 1130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1131
Epoch 1131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1132
Epoch 1132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1133
Epoch 1133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1134
Epoch 1134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1135
Epoch 1135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1136
Epoch 1136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1137
Epoch 1137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1138
Epoch 1138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1139
Epoch 1139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1140
Epoch 1140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1141
Epoch 1141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1142
Epoch 1142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1143
Epoch 1143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1144
Epoch 1144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1145
Epoch 1145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1146
Epoch 1146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1147
Epoch 1147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1148
Epoch 1148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1149
Epoch 1149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1150
Epoch 1150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1151
Epoch 1151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1152
Epoch 1152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1153
Epoch 1153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1154
Epoch 1154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1155
Epoch 1155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1156
Epoch 1156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1157
Epoch 1157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1158
Epoch 1158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1159
Epoch 1159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1160
Epoch 1160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1161
Epoch 1161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1162
Epoch 1162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1163
Epoch 1163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1164
Epoch 1164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1165
Epoch 1165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1166
Epoch 1166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1167
Epoch 1167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1168
Epoch 1168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1169
Epoch 1169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1170
Epoch 1170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1171
Epoch 1171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1172
Epoch 1172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1173
Epoch 1173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1174
Epoch 1174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1175
Epoch 1175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1176
Epoch 1176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1177
Epoch 1177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1178
Epoch 1178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1179
Epoch 1179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1180
Epoch 1180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1181
Epoch 1181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1182
Epoch 1182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1183
Epoch 1183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1184
Epoch 1184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1185
Epoch 1185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1186
Epoch 1186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1187
Epoch 1187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1188
Epoch 1188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1189
Epoch 1189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1190
Epoch 1190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1191
Epoch 1191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1192
Epoch 1192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1193
Epoch 1193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1194
Epoch 1194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1195
Epoch 1195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1196
Epoch 1196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1197
Epoch 1197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1198
Epoch 1198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1199
Epoch 1199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1200
Epoch 1200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1201
Epoch 1201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1202
Epoch 1202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1203
Epoch 1203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1204
Epoch 1204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1205
Epoch 1205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1206
Epoch 1206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1207
Epoch 1207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1208
Epoch 1208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1209
Epoch 1209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1210
Epoch 1210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1211
Epoch 1211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1212
Epoch 1212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1213
Epoch 1213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1214
Epoch 1214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1215
Epoch 1215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1216
Epoch 1216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1217
Epoch 1217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1218
Epoch 1218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1219
Epoch 1219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1220
Epoch 1220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1221
Epoch 1221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1222
Epoch 1222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1223
Epoch 1223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1224
Epoch 1224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1225
Epoch 1225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1226
Epoch 1226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1227
Epoch 1227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1228
Epoch 1228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1229
Epoch 1229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1230
Epoch 1230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1231
Epoch 1231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1232
Epoch 1232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1233
Epoch 1233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1234
Epoch 1234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1235
Epoch 1235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1236
Epoch 1236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1237
Epoch 1237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1238
Epoch 1238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1239
Epoch 1239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1240
Epoch 1240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1241
Epoch 1241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1242
Epoch 1242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1243
Epoch 1243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1244
Epoch 1244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1245
Epoch 1245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1246
Epoch 1246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1247
Epoch 1247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1248
Epoch 1248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1249
Epoch 1249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1250
Epoch 1250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1251
Epoch 1251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1252
Epoch 1252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1253
Epoch 1253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1254
Epoch 1254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1255
Epoch 1255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1256
Epoch 1256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1257
Epoch 1257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1258
Epoch 1258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1259
Epoch 1259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1260
Epoch 1260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1261
Epoch 1261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1262
Epoch 1262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1263
Epoch 1263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1264
Epoch 1264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1265
Epoch 1265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1266
Epoch 1266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1267
Epoch 1267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1268
Epoch 1268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1269
Epoch 1269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1270
Epoch 1270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1271
Epoch 1271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1272
Epoch 1272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1273
Epoch 1273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1274
Epoch 1274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1275
Epoch 1275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1276
Epoch 1276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1277
Epoch 1277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1278
Epoch 1278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1279
Epoch 1279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1280
Epoch 1280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1281
Epoch 1281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1282
Epoch 1282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1283
Epoch 1283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1284
Epoch 1284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1285
Epoch 1285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1286
Epoch 1286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1287
Epoch 1287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1288
Epoch 1288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1289
Epoch 1289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1290
Epoch 1290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1291
Epoch 1291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1292
Epoch 1292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1293
Epoch 1293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1294
Epoch 1294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1295
Epoch 1295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1296
Epoch 1296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1297
Epoch 1297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1298
Epoch 1298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1299
Epoch 1299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1300
Epoch 1300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1301
Epoch 1301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1302
Epoch 1302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1303
Epoch 1303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1304
Epoch 1304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1305
Epoch 1305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1306
Epoch 1306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1307
Epoch 1307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1308
Epoch 1308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1309
Epoch 1309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1310
Epoch 1310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1311
Epoch 1311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1312
Epoch 1312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1313
Epoch 1313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1314
Epoch 1314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1315
Epoch 1315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1316
Epoch 1316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1317
Epoch 1317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1318
Epoch 1318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1319
Epoch 1319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1320
Epoch 1320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1321
Epoch 1321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1322
Epoch 1322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1323
Epoch 1323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1324
Epoch 1324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1325
Epoch 1325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1326
Epoch 1326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1327
Epoch 1327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1328
Epoch 1328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1329
Epoch 1329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1330
Epoch 1330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1331
Epoch 1331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1332
Epoch 1332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1333
Epoch 1333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1334
Epoch 1334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1335
Epoch 1335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1336
Epoch 1336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1337
Epoch 1337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1338
Epoch 1338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1339
Epoch 1339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1340
Epoch 1340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1341
Epoch 1341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1342
Epoch 1342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1343
Epoch 1343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1344
Epoch 1344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1345
Epoch 1345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1346
Epoch 1346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1347
Epoch 1347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1348
Epoch 1348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1349
Epoch 1349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1350
Epoch 1350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1351
Epoch 1351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1352
Epoch 1352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1353
Epoch 1353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1354
Epoch 1354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1355
Epoch 1355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1356
Epoch 1356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1357
Epoch 1357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1358
Epoch 1358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1359
Epoch 1359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1360
Epoch 1360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1361
Epoch 1361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1362
Epoch 1362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1363
Epoch 1363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1364
Epoch 1364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1365
Epoch 1365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1366
Epoch 1366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1367
Epoch 1367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1368
Epoch 1368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1369
Epoch 1369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1370
Epoch 1370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1371
Epoch 1371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1372
Epoch 1372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1373
Epoch 1373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1374
Epoch 1374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1375
Epoch 1375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1376
Epoch 1376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1377
Epoch 1377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1378
Epoch 1378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1379
Epoch 1379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1380
Epoch 1380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1381
Epoch 1381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1382
Epoch 1382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1383
Epoch 1383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1384
Epoch 1384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1385
Epoch 1385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1386
Epoch 1386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1387
Epoch 1387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1388
Epoch 1388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1389
Epoch 1389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1390
Epoch 1390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1391
Epoch 1391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1392
Epoch 1392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1393
Epoch 1393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1394
Epoch 1394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1395
Epoch 1395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1396
Epoch 1396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1397
Epoch 1397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1398
Epoch 1398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1399
Epoch 1399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1400
Epoch 1400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1401
Epoch 1401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1402
Epoch 1402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1403
Epoch 1403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1404
Epoch 1404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1405
Epoch 1405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1406
Epoch 1406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1407
Epoch 1407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1408
Epoch 1408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1409
Epoch 1409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1410
Epoch 1410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1411
Epoch 1411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1412
Epoch 1412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1413
Epoch 1413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1414
Epoch 1414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1415
Epoch 1415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1416
Epoch 1416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1417
Epoch 1417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1418
Epoch 1418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1419
Epoch 1419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1420
Epoch 1420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1421
Epoch 1421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1422
Epoch 1422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1423
Epoch 1423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1424
Epoch 1424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1425
Epoch 1425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1426
Epoch 1426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1427
Epoch 1427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1428
Epoch 1428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1429
Epoch 1429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1430
Epoch 1430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1431
Epoch 1431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1432
Epoch 1432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1433
Epoch 1433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1434
Epoch 1434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1435
Epoch 1435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1436
Epoch 1436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1437
Epoch 1437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1438
Epoch 1438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1439
Epoch 1439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1440
Epoch 1440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1441
Epoch 1441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1442
Epoch 1442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1443
Epoch 1443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1444
Epoch 1444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1445
Epoch 1445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1446
Epoch 1446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1447
Epoch 1447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1448
Epoch 1448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1449
Epoch 1449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1450
Epoch 1450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1451
Epoch 1451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1452
Epoch 1452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1453
Epoch 1453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1454
Epoch 1454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1455
Epoch 1455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1456
Epoch 1456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1457
Epoch 1457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1458
Epoch 1458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1459
Epoch 1459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1460
Epoch 1460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1461
Epoch 1461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1462
Epoch 1462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1463
Epoch 1463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1464
Epoch 1464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1465
Epoch 1465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1466
Epoch 1466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1467
Epoch 1467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1468
Epoch 1468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1469
Epoch 1469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1470
Epoch 1470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1471
Epoch 1471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1472
Epoch 1472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1473
Epoch 1473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1474
Epoch 1474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1475
Epoch 1475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1476
Epoch 1476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1477
Epoch 1477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1478
Epoch 1478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1479
Epoch 1479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1480
Epoch 1480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1481
Epoch 1481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1482
Epoch 1482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1483
Epoch 1483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1484
Epoch 1484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1485
Epoch 1485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1486
Epoch 1486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1487
Epoch 1487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1488
Epoch 1488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1489
Epoch 1489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1490
Epoch 1490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1491
Epoch 1491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1492
Epoch 1492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1493
Epoch 1493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1494
Epoch 1494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1495
Epoch 1495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1496
Epoch 1496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1497
Epoch 1497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1498
Epoch 1498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1499
Epoch 1499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1500
Epoch 1500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1501
Epoch 1501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1502
Epoch 1502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1503
Epoch 1503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1504
Epoch 1504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1505
Epoch 1505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1506
Epoch 1506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1507
Epoch 1507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1508
Epoch 1508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1509
Epoch 1509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1510
Epoch 1510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1511
Epoch 1511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1512
Epoch 1512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1513
Epoch 1513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1514
Epoch 1514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1515
Epoch 1515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1516
Epoch 1516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1517
Epoch 1517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1518
Epoch 1518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1519
Epoch 1519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1520
Epoch 1520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1521
Epoch 1521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1522
Epoch 1522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1523
Epoch 1523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1524
Epoch 1524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1525
Epoch 1525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1526
Epoch 1526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1527
Epoch 1527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1528
Epoch 1528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1529
Epoch 1529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1530
Epoch 1530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1531
Epoch 1531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1532
Epoch 1532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1533
Epoch 1533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1534
Epoch 1534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1535
Epoch 1535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1536
Epoch 1536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1537
Epoch 1537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1538
Epoch 1538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1539
Epoch 1539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1540
Epoch 1540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1541
Epoch 1541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1542
Epoch 1542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1543
Epoch 1543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1544
Epoch 1544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1545
Epoch 1545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1546
Epoch 1546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1547
Epoch 1547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1548
Epoch 1548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1549
Epoch 1549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1550
Epoch 1550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1551
Epoch 1551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1552
Epoch 1552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1553
Epoch 1553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1554
Epoch 1554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1555
Epoch 1555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1556
Epoch 1556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1557
Epoch 1557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1558
Epoch 1558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1559
Epoch 1559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1560
Epoch 1560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1561
Epoch 1561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1562
Epoch 1562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1563
Epoch 1563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1564
Epoch 1564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1565
Epoch 1565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1566
Epoch 1566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1567
Epoch 1567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1568
Epoch 1568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1569
Epoch 1569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1570
Epoch 1570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1571
Epoch 1571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1572
Epoch 1572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1573
Epoch 1573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1574
Epoch 1574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1575
Epoch 1575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1576
Epoch 1576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1577
Epoch 1577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1578
Epoch 1578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1579
Epoch 1579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1580
Epoch 1580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1581
Epoch 1581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1582
Epoch 1582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1583
Epoch 1583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1584
Epoch 1584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1585
Epoch 1585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1586
Epoch 1586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1587
Epoch 1587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1588
Epoch 1588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1589
Epoch 1589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1590
Epoch 1590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1591
Epoch 1591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1592
Epoch 1592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1593
Epoch 1593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1594
Epoch 1594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1595
Epoch 1595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1596
Epoch 1596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1597
Epoch 1597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1598
Epoch 1598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1599
Epoch 1599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1600
Epoch 1600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1601
Epoch 1601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1602
Epoch 1602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1603
Epoch 1603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1604
Epoch 1604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1605
Epoch 1605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1606
Epoch 1606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1607
Epoch 1607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1608
Epoch 1608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1609
Epoch 1609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1610
Epoch 1610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1611
Epoch 1611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1612
Epoch 1612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1613
Epoch 1613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1614
Epoch 1614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1615
Epoch 1615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1616
Epoch 1616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1617
Epoch 1617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1618
Epoch 1618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1619
Epoch 1619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1620
Epoch 1620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1621
Epoch 1621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1622
Epoch 1622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1623
Epoch 1623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1624
Epoch 1624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1625
Epoch 1625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1626
Epoch 1626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1627
Epoch 1627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1628
Epoch 1628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1629
Epoch 1629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1630
Epoch 1630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1631
Epoch 1631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1632
Epoch 1632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1633
Epoch 1633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1634
Epoch 1634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1635
Epoch 1635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1636
Epoch 1636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1637
Epoch 1637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1638
Epoch 1638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1639
Epoch 1639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1640
Epoch 1640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1641
Epoch 1641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1642
Epoch 1642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1643
Epoch 1643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1644
Epoch 1644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1645
Epoch 1645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1646
Epoch 1646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1647
Epoch 1647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1648
Epoch 1648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1649
Epoch 1649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1650
Epoch 1650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1651
Epoch 1651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1652
Epoch 1652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1653
Epoch 1653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1654
Epoch 1654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1655
Epoch 1655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1656
Epoch 1656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1657
Epoch 1657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1658
Epoch 1658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1659
Epoch 1659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1660
Epoch 1660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1661
Epoch 1661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1662
Epoch 1662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1663
Epoch 1663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1664
Epoch 1664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1665
Epoch 1665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1666
Epoch 1666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1667
Epoch 1667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1668
Epoch 1668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1669
Epoch 1669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1670
Epoch 1670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1671
Epoch 1671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1672
Epoch 1672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1673
Epoch 1673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1674
Epoch 1674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1675
Epoch 1675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1676
Epoch 1676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1677
Epoch 1677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1678
Epoch 1678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1679
Epoch 1679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1680
Epoch 1680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1681
Epoch 1681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1682
Epoch 1682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1683
Epoch 1683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1684
Epoch 1684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1685
Epoch 1685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1686
Epoch 1686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1687
Epoch 1687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1688
Epoch 1688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1689
Epoch 1689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1690
Epoch 1690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1691
Epoch 1691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1692
Epoch 1692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1693
Epoch 1693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1694
Epoch 1694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1695
Epoch 1695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1696
Epoch 1696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1697
Epoch 1697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1698
Epoch 1698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1699
Epoch 1699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1700
Epoch 1700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1701
Epoch 1701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1702
Epoch 1702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1703
Epoch 1703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1704
Epoch 1704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1705
Epoch 1705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1706
Epoch 1706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1707
Epoch 1707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1708
Epoch 1708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1709
Epoch 1709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1710
Epoch 1710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1711
Epoch 1711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1712
Epoch 1712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1713
Epoch 1713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1714
Epoch 1714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1715
Epoch 1715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1716
Epoch 1716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1717
Epoch 1717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1718
Epoch 1718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1719
Epoch 1719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1720
Epoch 1720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1721
Epoch 1721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1722
Epoch 1722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1723
Epoch 1723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1724
Epoch 1724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1725
Epoch 1725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1726
Epoch 1726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1727
Epoch 1727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1728
Epoch 1728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1729
Epoch 1729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1730
Epoch 1730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1731
Epoch 1731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1732
Epoch 1732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1733
Epoch 1733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1734
Epoch 1734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1735
Epoch 1735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1736
Epoch 1736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1737
Epoch 1737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1738
Epoch 1738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1739
Epoch 1739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1740
Epoch 1740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1741
Epoch 1741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1742
Epoch 1742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1743
Epoch 1743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1744
Epoch 1744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1745
Epoch 1745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1746
Epoch 1746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1747
Epoch 1747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1748
Epoch 1748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1749
Epoch 1749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1750
Epoch 1750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1751
Epoch 1751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1752
Epoch 1752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1753
Epoch 1753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1754
Epoch 1754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1755
Epoch 1755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1756
Epoch 1756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1757
Epoch 1757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1758
Epoch 1758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1759
Epoch 1759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1760
Epoch 1760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1761
Epoch 1761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1762
Epoch 1762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1763
Epoch 1763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1764
Epoch 1764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1765
Epoch 1765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1766
Epoch 1766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1767
Epoch 1767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1768
Epoch 1768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1769
Epoch 1769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1770
Epoch 1770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1771
Epoch 1771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1772
Epoch 1772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1773
Epoch 1773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1774
Epoch 1774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1775
Epoch 1775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1776
Epoch 1776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1777
Epoch 1777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1778
Epoch 1778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1779
Epoch 1779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1780
Epoch 1780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1781
Epoch 1781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1782
Epoch 1782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1783
Epoch 1783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1784
Epoch 1784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1785
Epoch 1785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1786
Epoch 1786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1787
Epoch 1787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1788
Epoch 1788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1789
Epoch 1789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1790
Epoch 1790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1791
Epoch 1791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1792
Epoch 1792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1793
Epoch 1793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1794
Epoch 1794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1795
Epoch 1795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1796
Epoch 1796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1797
Epoch 1797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1798
Epoch 1798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1799
Epoch 1799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1800
Epoch 1800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1801
Epoch 1801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1802
Epoch 1802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1803
Epoch 1803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1804
Epoch 1804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1805
Epoch 1805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1806
Epoch 1806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1807
Epoch 1807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1808
Epoch 1808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1809
Epoch 1809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1810
Epoch 1810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1811
Epoch 1811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1812
Epoch 1812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1813
Epoch 1813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1814
Epoch 1814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1815
Epoch 1815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1816
Epoch 1816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1817
Epoch 1817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1818
Epoch 1818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1819
Epoch 1819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1820
Epoch 1820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1821
Epoch 1821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1822
Epoch 1822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1823
Epoch 1823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1824
Epoch 1824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1825
Epoch 1825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1826
Epoch 1826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1827
Epoch 1827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1828
Epoch 1828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1829
Epoch 1829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1830
Epoch 1830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1831
Epoch 1831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1832
Epoch 1832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1833
Epoch 1833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1834
Epoch 1834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1835
Epoch 1835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1836
Epoch 1836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1837
Epoch 1837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1838
Epoch 1838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1839
Epoch 1839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1840
Epoch 1840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1841
Epoch 1841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1842
Epoch 1842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1843
Epoch 1843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1844
Epoch 1844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1845
Epoch 1845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1846
Epoch 1846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1847
Epoch 1847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1848
Epoch 1848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1849
Epoch 1849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1850
Epoch 1850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1851
Epoch 1851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1852
Epoch 1852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1853
Epoch 1853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1854
Epoch 1854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1855
Epoch 1855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1856
Epoch 1856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1857
Epoch 1857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1858
Epoch 1858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1859
Epoch 1859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1860
Epoch 1860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1861
Epoch 1861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1862
Epoch 1862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1863
Epoch 1863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1864
Epoch 1864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1865
Epoch 1865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1866
Epoch 1866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1867
Epoch 1867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1868
Epoch 1868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1869
Epoch 1869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1870
Epoch 1870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1871
Epoch 1871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1872
Epoch 1872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1873
Epoch 1873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1874
Epoch 1874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1875
Epoch 1875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1876
Epoch 1876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1877
Epoch 1877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1878
Epoch 1878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1879
Epoch 1879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1880
Epoch 1880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1881
Epoch 1881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1882
Epoch 1882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1883
Epoch 1883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1884
Epoch 1884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1885
Epoch 1885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1886
Epoch 1886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1887
Epoch 1887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1888
Epoch 1888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1889
Epoch 1889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1890
Epoch 1890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1891
Epoch 1891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1892
Epoch 1892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1893
Epoch 1893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1894
Epoch 1894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1895
Epoch 1895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1896
Epoch 1896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1897
Epoch 1897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1898
Epoch 1898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1899
Epoch 1899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1900
Epoch 1900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1901
Epoch 1901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1902
Epoch 1902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1903
Epoch 1903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1904
Epoch 1904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1905
Epoch 1905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1906
Epoch 1906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1907
Epoch 1907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1908
Epoch 1908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1909
Epoch 1909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1910
Epoch 1910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1911
Epoch 1911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1912
Epoch 1912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1913
Epoch 1913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1914
Epoch 1914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1915
Epoch 1915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1916
Epoch 1916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1917
Epoch 1917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1918
Epoch 1918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1919
Epoch 1919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1920
Epoch 1920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1921
Epoch 1921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1922
Epoch 1922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1923
Epoch 1923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1924
Epoch 1924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1925
Epoch 1925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1926
Epoch 1926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1927
Epoch 1927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1928
Epoch 1928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1929
Epoch 1929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1930
Epoch 1930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1931
Epoch 1931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1932
Epoch 1932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1933
Epoch 1933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1934
Epoch 1934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1935
Epoch 1935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1936
Epoch 1936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1937
Epoch 1937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1938
Epoch 1938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1939
Epoch 1939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1940
Epoch 1940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1941
Epoch 1941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1942
Epoch 1942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1943
Epoch 1943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1944
Epoch 1944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1945
Epoch 1945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1946
Epoch 1946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1947
Epoch 1947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1948
Epoch 1948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1949
Epoch 1949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1950
Epoch 1950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1951
Epoch 1951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1952
Epoch 1952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1953
Epoch 1953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1954
Epoch 1954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1955
Epoch 1955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1956
Epoch 1956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1957
Epoch 1957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1958
Epoch 1958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1959
Epoch 1959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1960
Epoch 1960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1961
Epoch 1961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1962
Epoch 1962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1963
Epoch 1963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1964
Epoch 1964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1965
Epoch 1965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1966
Epoch 1966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1967
Epoch 1967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1968
Epoch 1968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1969
Epoch 1969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1970
Epoch 1970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1971
Epoch 1971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1972
Epoch 1972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1973
Epoch 1973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1974
Epoch 1974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1975
Epoch 1975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1976
Epoch 1976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1977
Epoch 1977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1978
Epoch 1978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1979
Epoch 1979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1980
Epoch 1980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1981
Epoch 1981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1982
Epoch 1982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1983
Epoch 1983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1984
Epoch 1984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1985
Epoch 1985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1986
Epoch 1986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1987
Epoch 1987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1988
Epoch 1988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1989
Epoch 1989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1990
Epoch 1990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1991
Epoch 1991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1992
Epoch 1992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1993
Epoch 1993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1994
Epoch 1994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1995
Epoch 1995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1996
Epoch 1996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1997
Epoch 1997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1998
Epoch 1998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 1999
Epoch 1999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2000
Epoch 2000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2001
Epoch 2001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2002
Epoch 2002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2003
Epoch 2003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2004
Epoch 2004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2005
Epoch 2005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2006
Epoch 2006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2007
Epoch 2007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2008
Epoch 2008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2009
Epoch 2009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2010
Epoch 2010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2011
Epoch 2011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2012
Epoch 2012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2013
Epoch 2013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2014
Epoch 2014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2015
Epoch 2015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2016
Epoch 2016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2017
Epoch 2017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2018
Epoch 2018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2019
Epoch 2019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2020
Epoch 2020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2021
Epoch 2021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2022
Epoch 2022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2023
Epoch 2023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2024
Epoch 2024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2025
Epoch 2025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2026
Epoch 2026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2027
Epoch 2027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2028
Epoch 2028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2029
Epoch 2029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2030
Epoch 2030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2031
Epoch 2031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2032
Epoch 2032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2033
Epoch 2033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2034
Epoch 2034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2035
Epoch 2035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2036
Epoch 2036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2037
Epoch 2037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2038
Epoch 2038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2039
Epoch 2039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2040
Epoch 2040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2041
Epoch 2041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2042
Epoch 2042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2043
Epoch 2043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2044
Epoch 2044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2045
Epoch 2045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2046
Epoch 2046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2047
Epoch 2047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2048
Epoch 2048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2049
Epoch 2049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2050
Epoch 2050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2051
Epoch 2051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2052
Epoch 2052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2053
Epoch 2053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2054
Epoch 2054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2055
Epoch 2055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2056
Epoch 2056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2057
Epoch 2057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2058
Epoch 2058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2059
Epoch 2059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2060
Epoch 2060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2061
Epoch 2061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2062
Epoch 2062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2063
Epoch 2063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2064
Epoch 2064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2065
Epoch 2065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2066
Epoch 2066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2067
Epoch 2067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2068
Epoch 2068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2069
Epoch 2069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2070
Epoch 2070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2071
Epoch 2071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2072
Epoch 2072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2073
Epoch 2073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2074
Epoch 2074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2075
Epoch 2075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2076
Epoch 2076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2077
Epoch 2077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2078
Epoch 2078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2079
Epoch 2079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2080
Epoch 2080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2081
Epoch 2081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2082
Epoch 2082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2083
Epoch 2083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2084
Epoch 2084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2085
Epoch 2085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2086
Epoch 2086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2087
Epoch 2087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2088
Epoch 2088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2089
Epoch 2089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2090
Epoch 2090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2091
Epoch 2091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2092
Epoch 2092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2093
Epoch 2093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2094
Epoch 2094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2095
Epoch 2095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2096
Epoch 2096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2097
Epoch 2097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2098
Epoch 2098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2099
Epoch 2099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2100
Epoch 2100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2101
Epoch 2101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2102
Epoch 2102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2103
Epoch 2103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2104
Epoch 2104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2105
Epoch 2105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2106
Epoch 2106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2107
Epoch 2107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2108
Epoch 2108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2109
Epoch 2109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2110
Epoch 2110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2111
Epoch 2111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2112
Epoch 2112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2113
Epoch 2113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2114
Epoch 2114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2115
Epoch 2115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2116
Epoch 2116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2117
Epoch 2117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2118
Epoch 2118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2119
Epoch 2119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2120
Epoch 2120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2121
Epoch 2121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2122
Epoch 2122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2123
Epoch 2123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2124
Epoch 2124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2125
Epoch 2125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2126
Epoch 2126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2127
Epoch 2127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2128
Epoch 2128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2129
Epoch 2129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2130
Epoch 2130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2131
Epoch 2131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2132
Epoch 2132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2133
Epoch 2133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2134
Epoch 2134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2135
Epoch 2135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2136
Epoch 2136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2137
Epoch 2137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2138
Epoch 2138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2139
Epoch 2139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2140
Epoch 2140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2141
Epoch 2141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2142
Epoch 2142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2143
Epoch 2143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2144
Epoch 2144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2145
Epoch 2145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2146
Epoch 2146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2147
Epoch 2147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2148
Epoch 2148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2149
Epoch 2149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2150
Epoch 2150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2151
Epoch 2151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2152
Epoch 2152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2153
Epoch 2153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2154
Epoch 2154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2155
Epoch 2155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2156
Epoch 2156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2157
Epoch 2157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2158
Epoch 2158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2159
Epoch 2159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2160
Epoch 2160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2161
Epoch 2161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2162
Epoch 2162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2163
Epoch 2163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2164
Epoch 2164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2165
Epoch 2165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2166
Epoch 2166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2167
Epoch 2167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2168
Epoch 2168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2169
Epoch 2169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2170
Epoch 2170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2171
Epoch 2171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2172
Epoch 2172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2173
Epoch 2173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2174
Epoch 2174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2175
Epoch 2175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2176
Epoch 2176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2177
Epoch 2177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2178
Epoch 2178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2179
Epoch 2179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2180
Epoch 2180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2181
Epoch 2181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2182
Epoch 2182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2183
Epoch 2183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2184
Epoch 2184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2185
Epoch 2185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2186
Epoch 2186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2187
Epoch 2187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2188
Epoch 2188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2189
Epoch 2189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2190
Epoch 2190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2191
Epoch 2191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2192
Epoch 2192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2193
Epoch 2193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2194
Epoch 2194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2195
Epoch 2195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2196
Epoch 2196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2197
Epoch 2197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2198
Epoch 2198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2199
Epoch 2199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2200
Epoch 2200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2201
Epoch 2201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2202
Epoch 2202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2203
Epoch 2203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2204
Epoch 2204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2205
Epoch 2205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2206
Epoch 2206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2207
Epoch 2207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2208
Epoch 2208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2209
Epoch 2209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2210
Epoch 2210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2211
Epoch 2211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2212
Epoch 2212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2213
Epoch 2213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2214
Epoch 2214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2215
Epoch 2215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2216
Epoch 2216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2217
Epoch 2217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2218
Epoch 2218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2219
Epoch 2219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2220
Epoch 2220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2221
Epoch 2221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2222
Epoch 2222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2223
Epoch 2223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2224
Epoch 2224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2225
Epoch 2225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2226
Epoch 2226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2227
Epoch 2227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2228
Epoch 2228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2229
Epoch 2229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2230
Epoch 2230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2231
Epoch 2231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2232
Epoch 2232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2233
Epoch 2233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2234
Epoch 2234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2235
Epoch 2235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2236
Epoch 2236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2237
Epoch 2237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2238
Epoch 2238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2239
Epoch 2239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2240
Epoch 2240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2241
Epoch 2241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2242
Epoch 2242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2243
Epoch 2243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2244
Epoch 2244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2245
Epoch 2245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2246
Epoch 2246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2247
Epoch 2247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2248
Epoch 2248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2249
Epoch 2249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2250
Epoch 2250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2251
Epoch 2251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2252
Epoch 2252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2253
Epoch 2253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2254
Epoch 2254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2255
Epoch 2255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2256
Epoch 2256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2257
Epoch 2257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2258
Epoch 2258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2259
Epoch 2259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2260
Epoch 2260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2261
Epoch 2261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2262
Epoch 2262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2263
Epoch 2263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2264
Epoch 2264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2265
Epoch 2265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2266
Epoch 2266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2267
Epoch 2267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2268
Epoch 2268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2269
Epoch 2269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2270
Epoch 2270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2271
Epoch 2271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2272
Epoch 2272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2273
Epoch 2273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2274
Epoch 2274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2275
Epoch 2275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2276
Epoch 2276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2277
Epoch 2277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2278
Epoch 2278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2279
Epoch 2279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2280
Epoch 2280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2281
Epoch 2281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2282
Epoch 2282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2283
Epoch 2283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2284
Epoch 2284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2285
Epoch 2285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2286
Epoch 2286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2287
Epoch 2287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2288
Epoch 2288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2289
Epoch 2289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2290
Epoch 2290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2291
Epoch 2291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2292
Epoch 2292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2293
Epoch 2293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2294
Epoch 2294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2295
Epoch 2295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2296
Epoch 2296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2297
Epoch 2297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2298
Epoch 2298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2299
Epoch 2299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2300
Epoch 2300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2301
Epoch 2301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2302
Epoch 2302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2303
Epoch 2303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2304
Epoch 2304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2305
Epoch 2305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2306
Epoch 2306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2307
Epoch 2307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2308
Epoch 2308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2309
Epoch 2309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2310
Epoch 2310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2311
Epoch 2311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2312
Epoch 2312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2313
Epoch 2313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2314
Epoch 2314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2315
Epoch 2315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2316
Epoch 2316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2317
Epoch 2317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2318
Epoch 2318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2319
Epoch 2319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2320
Epoch 2320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2321
Epoch 2321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2322
Epoch 2322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2323
Epoch 2323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2324
Epoch 2324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2325
Epoch 2325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2326
Epoch 2326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2327
Epoch 2327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2328
Epoch 2328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2329
Epoch 2329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2330
Epoch 2330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2331
Epoch 2331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2332
Epoch 2332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2333
Epoch 2333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2334
Epoch 2334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2335
Epoch 2335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2336
Epoch 2336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2337
Epoch 2337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2338
Epoch 2338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2339
Epoch 2339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2340
Epoch 2340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2341
Epoch 2341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2342
Epoch 2342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2343
Epoch 2343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2344
Epoch 2344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2345
Epoch 2345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2346
Epoch 2346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2347
Epoch 2347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2348
Epoch 2348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2349
Epoch 2349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2350
Epoch 2350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2351
Epoch 2351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2352
Epoch 2352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2353
Epoch 2353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2354
Epoch 2354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2355
Epoch 2355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2356
Epoch 2356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2357
Epoch 2357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2358
Epoch 2358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2359
Epoch 2359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2360
Epoch 2360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2361
Epoch 2361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2362
Epoch 2362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2363
Epoch 2363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2364
Epoch 2364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2365
Epoch 2365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2366
Epoch 2366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2367
Epoch 2367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2368
Epoch 2368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2369
Epoch 2369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2370
Epoch 2370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2371
Epoch 2371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2372
Epoch 2372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2373
Epoch 2373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2374
Epoch 2374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2375
Epoch 2375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2376
Epoch 2376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2377
Epoch 2377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2378
Epoch 2378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2379
Epoch 2379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2380
Epoch 2380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2381
Epoch 2381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2382
Epoch 2382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2383
Epoch 2383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2384
Epoch 2384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2385
Epoch 2385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2386
Epoch 2386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2387
Epoch 2387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2388
Epoch 2388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2389
Epoch 2389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2390
Epoch 2390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2391
Epoch 2391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2392
Epoch 2392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2393
Epoch 2393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2394
Epoch 2394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2395
Epoch 2395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2396
Epoch 2396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2397
Epoch 2397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2398
Epoch 2398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2399
Epoch 2399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2400
Epoch 2400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2401
Epoch 2401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2402
Epoch 2402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2403
Epoch 2403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2404
Epoch 2404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2405
Epoch 2405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2406
Epoch 2406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2407
Epoch 2407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2408
Epoch 2408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2409
Epoch 2409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2410
Epoch 2410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2411
Epoch 2411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2412
Epoch 2412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2413
Epoch 2413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2414
Epoch 2414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2415
Epoch 2415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2416
Epoch 2416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2417
Epoch 2417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2418
Epoch 2418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2419
Epoch 2419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2420
Epoch 2420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2421
Epoch 2421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2422
Epoch 2422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2423
Epoch 2423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2424
Epoch 2424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2425
Epoch 2425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2426
Epoch 2426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2427
Epoch 2427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2428
Epoch 2428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2429
Epoch 2429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2430
Epoch 2430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2431
Epoch 2431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2432
Epoch 2432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2433
Epoch 2433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2434
Epoch 2434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2435
Epoch 2435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2436
Epoch 2436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2437
Epoch 2437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2438
Epoch 2438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2439
Epoch 2439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2440
Epoch 2440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2441
Epoch 2441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2442
Epoch 2442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2443
Epoch 2443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2444
Epoch 2444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2445
Epoch 2445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2446
Epoch 2446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2447
Epoch 2447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2448
Epoch 2448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2449
Epoch 2449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2450
Epoch 2450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2451
Epoch 2451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2452
Epoch 2452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2453
Epoch 2453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2454
Epoch 2454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2455
Epoch 2455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2456
Epoch 2456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2457
Epoch 2457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2458
Epoch 2458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2459
Epoch 2459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2460
Epoch 2460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2461
Epoch 2461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2462
Epoch 2462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2463
Epoch 2463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2464
Epoch 2464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2465
Epoch 2465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2466
Epoch 2466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2467
Epoch 2467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2468
Epoch 2468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2469
Epoch 2469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2470
Epoch 2470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2471
Epoch 2471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2472
Epoch 2472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2473
Epoch 2473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2474
Epoch 2474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2475
Epoch 2475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2476
Epoch 2476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2477
Epoch 2477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2478
Epoch 2478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2479
Epoch 2479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2480
Epoch 2480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2481
Epoch 2481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2482
Epoch 2482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2483
Epoch 2483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2484
Epoch 2484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2485
Epoch 2485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2486
Epoch 2486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2487
Epoch 2487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2488
Epoch 2488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2489
Epoch 2489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2490
Epoch 2490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2491
Epoch 2491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2492
Epoch 2492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2493
Epoch 2493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2494
Epoch 2494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2495
Epoch 2495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2496
Epoch 2496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2497
Epoch 2497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2498
Epoch 2498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2499
Epoch 2499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2500
Epoch 2500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2501
Epoch 2501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2502
Epoch 2502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2503
Epoch 2503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2504
Epoch 2504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2505
Epoch 2505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2506
Epoch 2506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2507
Epoch 2507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2508
Epoch 2508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2509
Epoch 2509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2510
Epoch 2510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2511
Epoch 2511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2512
Epoch 2512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2513
Epoch 2513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2514
Epoch 2514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2515
Epoch 2515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2516
Epoch 2516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2517
Epoch 2517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2518
Epoch 2518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2519
Epoch 2519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2520
Epoch 2520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2521
Epoch 2521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2522
Epoch 2522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2523
Epoch 2523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2524
Epoch 2524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2525
Epoch 2525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2526
Epoch 2526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2527
Epoch 2527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2528
Epoch 2528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2529
Epoch 2529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2530
Epoch 2530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2531
Epoch 2531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2532
Epoch 2532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2533
Epoch 2533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2534
Epoch 2534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2535
Epoch 2535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2536
Epoch 2536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2537
Epoch 2537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2538
Epoch 2538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2539
Epoch 2539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2540
Epoch 2540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2541
Epoch 2541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2542
Epoch 2542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2543
Epoch 2543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2544
Epoch 2544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2545
Epoch 2545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2546
Epoch 2546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2547
Epoch 2547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2548
Epoch 2548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2549
Epoch 2549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2550
Epoch 2550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2551
Epoch 2551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2552
Epoch 2552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2553
Epoch 2553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2554
Epoch 2554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2555
Epoch 2555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2556
Epoch 2556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2557
Epoch 2557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2558
Epoch 2558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2559
Epoch 2559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2560
Epoch 2560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2561
Epoch 2561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2562
Epoch 2562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2563
Epoch 2563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2564
Epoch 2564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2565
Epoch 2565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2566
Epoch 2566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2567
Epoch 2567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2568
Epoch 2568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2569
Epoch 2569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2570
Epoch 2570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2571
Epoch 2571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2572
Epoch 2572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2573
Epoch 2573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2574
Epoch 2574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2575
Epoch 2575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2576
Epoch 2576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2577
Epoch 2577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2578
Epoch 2578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2579
Epoch 2579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2580
Epoch 2580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2581
Epoch 2581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2582
Epoch 2582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2583
Epoch 2583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2584
Epoch 2584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2585
Epoch 2585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2586
Epoch 2586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2587
Epoch 2587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2588
Epoch 2588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2589
Epoch 2589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2590
Epoch 2590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2591
Epoch 2591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2592
Epoch 2592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2593
Epoch 2593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2594
Epoch 2594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2595
Epoch 2595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2596
Epoch 2596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2597
Epoch 2597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2598
Epoch 2598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2599
Epoch 2599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2600
Epoch 2600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2601
Epoch 2601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2602
Epoch 2602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2603
Epoch 2603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2604
Epoch 2604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2605
Epoch 2605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2606
Epoch 2606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2607
Epoch 2607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2608
Epoch 2608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2609
Epoch 2609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2610
Epoch 2610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2611
Epoch 2611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2612
Epoch 2612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2613
Epoch 2613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2614
Epoch 2614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2615
Epoch 2615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2616
Epoch 2616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2617
Epoch 2617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2618
Epoch 2618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2619
Epoch 2619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2620
Epoch 2620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2621
Epoch 2621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2622
Epoch 2622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2623
Epoch 2623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2624
Epoch 2624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2625
Epoch 2625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2626
Epoch 2626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2627
Epoch 2627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2628
Epoch 2628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2629
Epoch 2629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2630
Epoch 2630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2631
Epoch 2631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2632
Epoch 2632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2633
Epoch 2633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2634
Epoch 2634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2635
Epoch 2635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2636
Epoch 2636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2637
Epoch 2637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2638
Epoch 2638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2639
Epoch 2639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2640
Epoch 2640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2641
Epoch 2641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2642
Epoch 2642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2643
Epoch 2643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2644
Epoch 2644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2645
Epoch 2645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2646
Epoch 2646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2647
Epoch 2647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2648
Epoch 2648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2649
Epoch 2649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2650
Epoch 2650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2651
Epoch 2651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2652
Epoch 2652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2653
Epoch 2653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2654
Epoch 2654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2655
Epoch 2655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2656
Epoch 2656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2657
Epoch 2657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2658
Epoch 2658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2659
Epoch 2659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2660
Epoch 2660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2661
Epoch 2661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2662
Epoch 2662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2663
Epoch 2663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2664
Epoch 2664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2665
Epoch 2665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2666
Epoch 2666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2667
Epoch 2667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2668
Epoch 2668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2669
Epoch 2669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2670
Epoch 2670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2671
Epoch 2671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2672
Epoch 2672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2673
Epoch 2673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2674
Epoch 2674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2675
Epoch 2675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2676
Epoch 2676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2677
Epoch 2677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2678
Epoch 2678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2679
Epoch 2679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2680
Epoch 2680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2681
Epoch 2681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2682
Epoch 2682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2683
Epoch 2683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2684
Epoch 2684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2685
Epoch 2685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2686
Epoch 2686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2687
Epoch 2687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2688
Epoch 2688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2689
Epoch 2689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2690
Epoch 2690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2691
Epoch 2691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2692
Epoch 2692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2693
Epoch 2693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2694
Epoch 2694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2695
Epoch 2695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2696
Epoch 2696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2697
Epoch 2697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2698
Epoch 2698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2699
Epoch 2699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2700
Epoch 2700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2701
Epoch 2701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2702
Epoch 2702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2703
Epoch 2703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2704
Epoch 2704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2705
Epoch 2705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2706
Epoch 2706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2707
Epoch 2707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2708
Epoch 2708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2709
Epoch 2709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2710
Epoch 2710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2711
Epoch 2711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2712
Epoch 2712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2713
Epoch 2713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2714
Epoch 2714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2715
Epoch 2715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2716
Epoch 2716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2717
Epoch 2717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2718
Epoch 2718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2719
Epoch 2719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2720
Epoch 2720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2721
Epoch 2721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2722
Epoch 2722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2723
Epoch 2723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2724
Epoch 2724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2725
Epoch 2725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2726
Epoch 2726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2727
Epoch 2727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2728
Epoch 2728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2729
Epoch 2729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2730
Epoch 2730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2731
Epoch 2731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2732
Epoch 2732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2733
Epoch 2733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2734
Epoch 2734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2735
Epoch 2735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2736
Epoch 2736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2737
Epoch 2737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2738
Epoch 2738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2739
Epoch 2739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2740
Epoch 2740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2741
Epoch 2741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2742
Epoch 2742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2743
Epoch 2743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2744
Epoch 2744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2745
Epoch 2745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2746
Epoch 2746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2747
Epoch 2747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2748
Epoch 2748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2749
Epoch 2749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2750
Epoch 2750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2751
Epoch 2751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2752
Epoch 2752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2753
Epoch 2753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2754
Epoch 2754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2755
Epoch 2755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2756
Epoch 2756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2757
Epoch 2757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2758
Epoch 2758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2759
Epoch 2759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2760
Epoch 2760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2761
Epoch 2761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2762
Epoch 2762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2763
Epoch 2763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2764
Epoch 2764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2765
Epoch 2765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2766
Epoch 2766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2767
Epoch 2767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2768
Epoch 2768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2769
Epoch 2769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2770
Epoch 2770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2771
Epoch 2771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2772
Epoch 2772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2773
Epoch 2773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2774
Epoch 2774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2775
Epoch 2775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2776
Epoch 2776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2777
Epoch 2777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2778
Epoch 2778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2779
Epoch 2779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2780
Epoch 2780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2781
Epoch 2781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2782
Epoch 2782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2783
Epoch 2783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2784
Epoch 2784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2785
Epoch 2785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2786
Epoch 2786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2787
Epoch 2787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2788
Epoch 2788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2789
Epoch 2789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2790
Epoch 2790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2791
Epoch 2791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2792
Epoch 2792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2793
Epoch 2793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2794
Epoch 2794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2795
Epoch 2795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2796
Epoch 2796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2797
Epoch 2797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2798
Epoch 2798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2799
Epoch 2799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2800
Epoch 2800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2801
Epoch 2801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2802
Epoch 2802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2803
Epoch 2803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2804
Epoch 2804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2805
Epoch 2805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2806
Epoch 2806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2807
Epoch 2807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2808
Epoch 2808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2809
Epoch 2809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2810
Epoch 2810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2811
Epoch 2811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2812
Epoch 2812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2813
Epoch 2813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2814
Epoch 2814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2815
Epoch 2815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2816
Epoch 2816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2817
Epoch 2817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2818
Epoch 2818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2819
Epoch 2819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2820
Epoch 2820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2821
Epoch 2821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2822
Epoch 2822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2823
Epoch 2823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2824
Epoch 2824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2825
Epoch 2825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2826
Epoch 2826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2827
Epoch 2827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2828
Epoch 2828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2829
Epoch 2829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2830
Epoch 2830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2831
Epoch 2831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2832
Epoch 2832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2833
Epoch 2833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2834
Epoch 2834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2835
Epoch 2835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2836
Epoch 2836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2837
Epoch 2837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2838
Epoch 2838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2839
Epoch 2839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2840
Epoch 2840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2841
Epoch 2841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2842
Epoch 2842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2843
Epoch 2843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2844
Epoch 2844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2845
Epoch 2845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2846
Epoch 2846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2847
Epoch 2847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2848
Epoch 2848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2849
Epoch 2849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2850
Epoch 2850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2851
Epoch 2851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2852
Epoch 2852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2853
Epoch 2853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2854
Epoch 2854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2855
Epoch 2855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2856
Epoch 2856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2857
Epoch 2857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2858
Epoch 2858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2859
Epoch 2859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2860
Epoch 2860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2861
Epoch 2861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2862
Epoch 2862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2863
Epoch 2863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2864
Epoch 2864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2865
Epoch 2865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2866
Epoch 2866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2867
Epoch 2867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2868
Epoch 2868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2869
Epoch 2869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2870
Epoch 2870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2871
Epoch 2871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2872
Epoch 2872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2873
Epoch 2873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2874
Epoch 2874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2875
Epoch 2875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2876
Epoch 2876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2877
Epoch 2877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2878
Epoch 2878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2879
Epoch 2879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2880
Epoch 2880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2881
Epoch 2881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2882
Epoch 2882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2883
Epoch 2883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2884
Epoch 2884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2885
Epoch 2885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2886
Epoch 2886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2887
Epoch 2887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2888
Epoch 2888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2889
Epoch 2889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2890
Epoch 2890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2891
Epoch 2891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2892
Epoch 2892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2893
Epoch 2893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2894
Epoch 2894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2895
Epoch 2895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2896
Epoch 2896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2897
Epoch 2897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2898
Epoch 2898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2899
Epoch 2899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2900
Epoch 2900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2901
Epoch 2901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2902
Epoch 2902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2903
Epoch 2903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2904
Epoch 2904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2905
Epoch 2905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2906
Epoch 2906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2907
Epoch 2907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2908
Epoch 2908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2909
Epoch 2909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2910
Epoch 2910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2911
Epoch 2911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2912
Epoch 2912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2913
Epoch 2913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2914
Epoch 2914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2915
Epoch 2915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2916
Epoch 2916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2917
Epoch 2917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2918
Epoch 2918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2919
Epoch 2919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2920
Epoch 2920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2921
Epoch 2921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2922
Epoch 2922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2923
Epoch 2923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2924
Epoch 2924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2925
Epoch 2925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2926
Epoch 2926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2927
Epoch 2927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2928
Epoch 2928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2929
Epoch 2929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2930
Epoch 2930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2931
Epoch 2931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2932
Epoch 2932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2933
Epoch 2933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2934
Epoch 2934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2935
Epoch 2935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2936
Epoch 2936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2937
Epoch 2937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2938
Epoch 2938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2939
Epoch 2939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2940
Epoch 2940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2941
Epoch 2941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2942
Epoch 2942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2943
Epoch 2943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2944
Epoch 2944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2945
Epoch 2945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2946
Epoch 2946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2947
Epoch 2947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2948
Epoch 2948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2949
Epoch 2949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2950
Epoch 2950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2951
Epoch 2951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2952
Epoch 2952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2953
Epoch 2953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2954
Epoch 2954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2955
Epoch 2955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2956
Epoch 2956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2957
Epoch 2957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2958
Epoch 2958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2959
Epoch 2959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2960
Epoch 2960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2961
Epoch 2961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2962
Epoch 2962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2963
Epoch 2963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2964
Epoch 2964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2965
Epoch 2965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2966
Epoch 2966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2967
Epoch 2967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2968
Epoch 2968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2969
Epoch 2969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2970
Epoch 2970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2971
Epoch 2971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2972
Epoch 2972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2973
Epoch 2973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2974
Epoch 2974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2975
Epoch 2975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2976
Epoch 2976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2977
Epoch 2977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2978
Epoch 2978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2979
Epoch 2979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2980
Epoch 2980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2981
Epoch 2981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2982
Epoch 2982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2983
Epoch 2983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2984
Epoch 2984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2985
Epoch 2985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2986
Epoch 2986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2987
Epoch 2987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2988
Epoch 2988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2989
Epoch 2989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2990
Epoch 2990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2991
Epoch 2991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2992
Epoch 2992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2993
Epoch 2993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2994
Epoch 2994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2995
Epoch 2995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2996
Epoch 2996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2997
Epoch 2997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2998
Epoch 2998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 2999
Epoch 2999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3000
Epoch 3000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3001
Epoch 3001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3002
Epoch 3002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3003
Epoch 3003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3004
Epoch 3004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3005
Epoch 3005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3006
Epoch 3006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3007
Epoch 3007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3008
Epoch 3008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3009
Epoch 3009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3010
Epoch 3010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3011
Epoch 3011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3012
Epoch 3012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3013
Epoch 3013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3014
Epoch 3014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3015
Epoch 3015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3016
Epoch 3016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3017
Epoch 3017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3018
Epoch 3018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3019
Epoch 3019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3020
Epoch 3020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3021
Epoch 3021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3022
Epoch 3022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3023
Epoch 3023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3024
Epoch 3024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3025
Epoch 3025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3026
Epoch 3026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3027
Epoch 3027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3028
Epoch 3028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3029
Epoch 3029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3030
Epoch 3030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3031
Epoch 3031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3032
Epoch 3032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3033
Epoch 3033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3034
Epoch 3034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3035
Epoch 3035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3036
Epoch 3036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3037
Epoch 3037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3038
Epoch 3038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3039
Epoch 3039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3040
Epoch 3040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3041
Epoch 3041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3042
Epoch 3042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3043
Epoch 3043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3044
Epoch 3044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3045
Epoch 3045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3046
Epoch 3046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3047
Epoch 3047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3048
Epoch 3048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3049
Epoch 3049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3050
Epoch 3050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3051
Epoch 3051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3052
Epoch 3052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3053
Epoch 3053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3054
Epoch 3054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3055
Epoch 3055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3056
Epoch 3056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3057
Epoch 3057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3058
Epoch 3058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3059
Epoch 3059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3060
Epoch 3060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3061
Epoch 3061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3062
Epoch 3062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3063
Epoch 3063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3064
Epoch 3064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3065
Epoch 3065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3066
Epoch 3066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3067
Epoch 3067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3068
Epoch 3068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3069
Epoch 3069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3070
Epoch 3070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3071
Epoch 3071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3072
Epoch 3072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3073
Epoch 3073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3074
Epoch 3074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3075
Epoch 3075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3076
Epoch 3076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3077
Epoch 3077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3078
Epoch 3078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3079
Epoch 3079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3080
Epoch 3080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3081
Epoch 3081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3082
Epoch 3082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3083
Epoch 3083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3084
Epoch 3084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3085
Epoch 3085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3086
Epoch 3086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3087
Epoch 3087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3088
Epoch 3088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3089
Epoch 3089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3090
Epoch 3090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3091
Epoch 3091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3092
Epoch 3092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3093
Epoch 3093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3094
Epoch 3094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3095
Epoch 3095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3096
Epoch 3096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3097
Epoch 3097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3098
Epoch 3098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3099
Epoch 3099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3100
Epoch 3100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3101
Epoch 3101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3102
Epoch 3102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3103
Epoch 3103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3104
Epoch 3104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3105
Epoch 3105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3106
Epoch 3106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3107
Epoch 3107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3108
Epoch 3108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3109
Epoch 3109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3110
Epoch 3110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3111
Epoch 3111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3112
Epoch 3112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3113
Epoch 3113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3114
Epoch 3114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3115
Epoch 3115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3116
Epoch 3116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3117
Epoch 3117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3118
Epoch 3118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3119
Epoch 3119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3120
Epoch 3120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3121
Epoch 3121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3122
Epoch 3122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3123
Epoch 3123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3124
Epoch 3124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3125
Epoch 3125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3126
Epoch 3126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3127
Epoch 3127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3128
Epoch 3128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3129
Epoch 3129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3130
Epoch 3130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3131
Epoch 3131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3132
Epoch 3132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3133
Epoch 3133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3134
Epoch 3134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3135
Epoch 3135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3136
Epoch 3136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3137
Epoch 3137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3138
Epoch 3138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3139
Epoch 3139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3140
Epoch 3140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3141
Epoch 3141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3142
Epoch 3142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3143
Epoch 3143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3144
Epoch 3144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3145
Epoch 3145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3146
Epoch 3146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3147
Epoch 3147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3148
Epoch 3148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3149
Epoch 3149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3150
Epoch 3150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3151
Epoch 3151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3152
Epoch 3152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3153
Epoch 3153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3154
Epoch 3154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3155
Epoch 3155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3156
Epoch 3156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3157
Epoch 3157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3158
Epoch 3158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3159
Epoch 3159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3160
Epoch 3160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3161
Epoch 3161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3162
Epoch 3162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3163
Epoch 3163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3164
Epoch 3164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3165
Epoch 3165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3166
Epoch 3166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3167
Epoch 3167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3168
Epoch 3168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3169
Epoch 3169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3170
Epoch 3170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3171
Epoch 3171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3172
Epoch 3172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3173
Epoch 3173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3174
Epoch 3174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3175
Epoch 3175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3176
Epoch 3176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3177
Epoch 3177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3178
Epoch 3178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3179
Epoch 3179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3180
Epoch 3180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3181
Epoch 3181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3182
Epoch 3182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3183
Epoch 3183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3184
Epoch 3184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3185
Epoch 3185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3186
Epoch 3186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3187
Epoch 3187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3188
Epoch 3188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3189
Epoch 3189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3190
Epoch 3190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3191
Epoch 3191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3192
Epoch 3192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3193
Epoch 3193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3194
Epoch 3194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3195
Epoch 3195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3196
Epoch 3196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3197
Epoch 3197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3198
Epoch 3198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3199
Epoch 3199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3200
Epoch 3200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3201
Epoch 3201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3202
Epoch 3202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3203
Epoch 3203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3204
Epoch 3204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3205
Epoch 3205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3206
Epoch 3206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3207
Epoch 3207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3208
Epoch 3208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3209
Epoch 3209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3210
Epoch 3210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3211
Epoch 3211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3212
Epoch 3212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3213
Epoch 3213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3214
Epoch 3214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3215
Epoch 3215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3216
Epoch 3216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3217
Epoch 3217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3218
Epoch 3218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3219
Epoch 3219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3220
Epoch 3220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3221
Epoch 3221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3222
Epoch 3222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3223
Epoch 3223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3224
Epoch 3224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3225
Epoch 3225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3226
Epoch 3226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3227
Epoch 3227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3228
Epoch 3228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3229
Epoch 3229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3230
Epoch 3230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3231
Epoch 3231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3232
Epoch 3232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3233
Epoch 3233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3234
Epoch 3234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3235
Epoch 3235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3236
Epoch 3236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3237
Epoch 3237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3238
Epoch 3238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3239
Epoch 3239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3240
Epoch 3240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3241
Epoch 3241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3242
Epoch 3242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3243
Epoch 3243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3244
Epoch 3244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3245
Epoch 3245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3246
Epoch 3246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3247
Epoch 3247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3248
Epoch 3248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3249
Epoch 3249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3250
Epoch 3250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3251
Epoch 3251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3252
Epoch 3252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3253
Epoch 3253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3254
Epoch 3254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3255
Epoch 3255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3256
Epoch 3256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3257
Epoch 3257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3258
Epoch 3258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3259
Epoch 3259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3260
Epoch 3260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3261
Epoch 3261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3262
Epoch 3262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3263
Epoch 3263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3264
Epoch 3264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3265
Epoch 3265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3266
Epoch 3266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3267
Epoch 3267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3268
Epoch 3268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3269
Epoch 3269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3270
Epoch 3270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3271
Epoch 3271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3272
Epoch 3272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3273
Epoch 3273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3274
Epoch 3274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3275
Epoch 3275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3276
Epoch 3276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3277
Epoch 3277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3278
Epoch 3278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3279
Epoch 3279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3280
Epoch 3280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3281
Epoch 3281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3282
Epoch 3282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3283
Epoch 3283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3284
Epoch 3284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3285
Epoch 3285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3286
Epoch 3286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3287
Epoch 3287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3288
Epoch 3288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3289
Epoch 3289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3290
Epoch 3290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3291
Epoch 3291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3292
Epoch 3292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3293
Epoch 3293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3294
Epoch 3294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3295
Epoch 3295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3296
Epoch 3296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3297
Epoch 3297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3298
Epoch 3298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3299
Epoch 3299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3300
Epoch 3300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3301
Epoch 3301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3302
Epoch 3302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3303
Epoch 3303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3304
Epoch 3304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3305
Epoch 3305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3306
Epoch 3306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3307
Epoch 3307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3308
Epoch 3308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3309
Epoch 3309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3310
Epoch 3310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3311
Epoch 3311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3312
Epoch 3312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3313
Epoch 3313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3314
Epoch 3314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3315
Epoch 3315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3316
Epoch 3316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3317
Epoch 3317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3318
Epoch 3318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3319
Epoch 3319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3320
Epoch 3320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3321
Epoch 3321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3322
Epoch 3322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3323
Epoch 3323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3324
Epoch 3324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3325
Epoch 3325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3326
Epoch 3326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3327
Epoch 3327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3328
Epoch 3328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3329
Epoch 3329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3330
Epoch 3330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3331
Epoch 3331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3332
Epoch 3332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3333
Epoch 3333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3334
Epoch 3334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3335
Epoch 3335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3336
Epoch 3336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3337
Epoch 3337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3338
Epoch 3338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3339
Epoch 3339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3340
Epoch 3340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3341
Epoch 3341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3342
Epoch 3342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3343
Epoch 3343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3344
Epoch 3344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3345
Epoch 3345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3346
Epoch 3346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3347
Epoch 3347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3348
Epoch 3348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3349
Epoch 3349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3350
Epoch 3350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3351
Epoch 3351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3352
Epoch 3352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3353
Epoch 3353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3354
Epoch 3354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3355
Epoch 3355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3356
Epoch 3356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3357
Epoch 3357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3358
Epoch 3358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3359
Epoch 3359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3360
Epoch 3360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3361
Epoch 3361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3362
Epoch 3362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3363
Epoch 3363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3364
Epoch 3364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3365
Epoch 3365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3366
Epoch 3366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3367
Epoch 3367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3368
Epoch 3368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3369
Epoch 3369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3370
Epoch 3370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3371
Epoch 3371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3372
Epoch 3372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3373
Epoch 3373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3374
Epoch 3374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3375
Epoch 3375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3376
Epoch 3376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3377
Epoch 3377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3378
Epoch 3378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3379
Epoch 3379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3380
Epoch 3380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3381
Epoch 3381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3382
Epoch 3382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3383
Epoch 3383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3384
Epoch 3384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3385
Epoch 3385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3386
Epoch 3386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3387
Epoch 3387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3388
Epoch 3388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3389
Epoch 3389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3390
Epoch 3390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3391
Epoch 3391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3392
Epoch 3392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3393
Epoch 3393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3394
Epoch 3394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3395
Epoch 3395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3396
Epoch 3396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3397
Epoch 3397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3398
Epoch 3398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3399
Epoch 3399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3400
Epoch 3400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3401
Epoch 3401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3402
Epoch 3402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3403
Epoch 3403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3404
Epoch 3404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3405
Epoch 3405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3406
Epoch 3406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3407
Epoch 3407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3408
Epoch 3408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3409
Epoch 3409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3410
Epoch 3410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3411
Epoch 3411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3412
Epoch 3412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3413
Epoch 3413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3414
Epoch 3414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3415
Epoch 3415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3416
Epoch 3416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3417
Epoch 3417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3418
Epoch 3418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3419
Epoch 3419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3420
Epoch 3420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3421
Epoch 3421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3422
Epoch 3422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3423
Epoch 3423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3424
Epoch 3424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3425
Epoch 3425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3426
Epoch 3426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3427
Epoch 3427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3428
Epoch 3428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3429
Epoch 3429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3430
Epoch 3430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3431
Epoch 3431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3432
Epoch 3432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3433
Epoch 3433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3434
Epoch 3434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3435
Epoch 3435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3436
Epoch 3436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3437
Epoch 3437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3438
Epoch 3438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3439
Epoch 3439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3440
Epoch 3440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3441
Epoch 3441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3442
Epoch 3442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3443
Epoch 3443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3444
Epoch 3444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3445
Epoch 3445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3446
Epoch 3446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3447
Epoch 3447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3448
Epoch 3448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3449
Epoch 3449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3450
Epoch 3450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3451
Epoch 3451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3452
Epoch 3452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3453
Epoch 3453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3454
Epoch 3454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3455
Epoch 3455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3456
Epoch 3456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3457
Epoch 3457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3458
Epoch 3458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3459
Epoch 3459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3460
Epoch 3460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3461
Epoch 3461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3462
Epoch 3462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3463
Epoch 3463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3464
Epoch 3464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3465
Epoch 3465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3466
Epoch 3466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3467
Epoch 3467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3468
Epoch 3468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3469
Epoch 3469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3470
Epoch 3470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3471
Epoch 3471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3472
Epoch 3472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3473
Epoch 3473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3474
Epoch 3474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3475
Epoch 3475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3476
Epoch 3476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3477
Epoch 3477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3478
Epoch 3478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3479
Epoch 3479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3480
Epoch 3480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3481
Epoch 3481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3482
Epoch 3482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3483
Epoch 3483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3484
Epoch 3484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3485
Epoch 3485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3486
Epoch 3486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3487
Epoch 3487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3488
Epoch 3488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3489
Epoch 3489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3490
Epoch 3490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3491
Epoch 3491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3492
Epoch 3492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3493
Epoch 3493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3494
Epoch 3494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3495
Epoch 3495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3496
Epoch 3496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3497
Epoch 3497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3498
Epoch 3498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3499
Epoch 3499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3500
Epoch 3500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3501
Epoch 3501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3502
Epoch 3502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3503
Epoch 3503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3504
Epoch 3504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3505
Epoch 3505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3506
Epoch 3506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3507
Epoch 3507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3508
Epoch 3508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3509
Epoch 3509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3510
Epoch 3510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3511
Epoch 3511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3512
Epoch 3512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3513
Epoch 3513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3514
Epoch 3514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3515
Epoch 3515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3516
Epoch 3516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3517
Epoch 3517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3518
Epoch 3518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3519
Epoch 3519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3520
Epoch 3520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3521
Epoch 3521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3522
Epoch 3522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3523
Epoch 3523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3524
Epoch 3524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3525
Epoch 3525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3526
Epoch 3526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3527
Epoch 3527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3528
Epoch 3528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3529
Epoch 3529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3530
Epoch 3530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3531
Epoch 3531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3532
Epoch 3532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3533
Epoch 3533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3534
Epoch 3534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3535
Epoch 3535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3536
Epoch 3536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3537
Epoch 3537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3538
Epoch 3538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3539
Epoch 3539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3540
Epoch 3540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3541
Epoch 3541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3542
Epoch 3542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3543
Epoch 3543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3544
Epoch 3544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3545
Epoch 3545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3546
Epoch 3546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3547
Epoch 3547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3548
Epoch 3548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3549
Epoch 3549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3550
Epoch 3550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3551
Epoch 3551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3552
Epoch 3552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3553
Epoch 3553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3554
Epoch 3554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3555
Epoch 3555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3556
Epoch 3556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3557
Epoch 3557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3558
Epoch 3558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3559
Epoch 3559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3560
Epoch 3560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3561
Epoch 3561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3562
Epoch 3562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3563
Epoch 3563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3564
Epoch 3564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3565
Epoch 3565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3566
Epoch 3566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3567
Epoch 3567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3568
Epoch 3568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3569
Epoch 3569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3570
Epoch 3570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3571
Epoch 3571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3572
Epoch 3572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3573
Epoch 3573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3574
Epoch 3574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3575
Epoch 3575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3576
Epoch 3576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3577
Epoch 3577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3578
Epoch 3578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3579
Epoch 3579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3580
Epoch 3580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3581
Epoch 3581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3582
Epoch 3582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3583
Epoch 3583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3584
Epoch 3584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3585
Epoch 3585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3586
Epoch 3586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3587
Epoch 3587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3588
Epoch 3588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3589
Epoch 3589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3590
Epoch 3590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3591
Epoch 3591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3592
Epoch 3592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3593
Epoch 3593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3594
Epoch 3594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3595
Epoch 3595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3596
Epoch 3596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3597
Epoch 3597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3598
Epoch 3598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3599
Epoch 3599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3600
Epoch 3600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3601
Epoch 3601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3602
Epoch 3602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3603
Epoch 3603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3604
Epoch 3604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3605
Epoch 3605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3606
Epoch 3606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3607
Epoch 3607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3608
Epoch 3608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3609
Epoch 3609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3610
Epoch 3610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3611
Epoch 3611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3612
Epoch 3612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3613
Epoch 3613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3614
Epoch 3614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3615
Epoch 3615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3616
Epoch 3616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3617
Epoch 3617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3618
Epoch 3618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3619
Epoch 3619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3620
Epoch 3620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3621
Epoch 3621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3622
Epoch 3622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3623
Epoch 3623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3624
Epoch 3624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3625
Epoch 3625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3626
Epoch 3626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3627
Epoch 3627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3628
Epoch 3628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3629
Epoch 3629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3630
Epoch 3630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3631
Epoch 3631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3632
Epoch 3632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3633
Epoch 3633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3634
Epoch 3634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3635
Epoch 3635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3636
Epoch 3636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3637
Epoch 3637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3638
Epoch 3638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3639
Epoch 3639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3640
Epoch 3640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3641
Epoch 3641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3642
Epoch 3642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3643
Epoch 3643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3644
Epoch 3644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3645
Epoch 3645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3646
Epoch 3646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3647
Epoch 3647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3648
Epoch 3648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3649
Epoch 3649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3650
Epoch 3650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3651
Epoch 3651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3652
Epoch 3652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3653
Epoch 3653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3654
Epoch 3654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3655
Epoch 3655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3656
Epoch 3656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3657
Epoch 3657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3658
Epoch 3658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3659
Epoch 3659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3660
Epoch 3660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3661
Epoch 3661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3662
Epoch 3662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3663
Epoch 3663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3664
Epoch 3664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3665
Epoch 3665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3666
Epoch 3666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3667
Epoch 3667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3668
Epoch 3668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3669
Epoch 3669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3670
Epoch 3670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3671
Epoch 3671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3672
Epoch 3672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3673
Epoch 3673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3674
Epoch 3674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3675
Epoch 3675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3676
Epoch 3676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3677
Epoch 3677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3678
Epoch 3678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3679
Epoch 3679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3680
Epoch 3680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3681
Epoch 3681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3682
Epoch 3682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3683
Epoch 3683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3684
Epoch 3684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3685
Epoch 3685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3686
Epoch 3686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3687
Epoch 3687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3688
Epoch 3688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3689
Epoch 3689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3690
Epoch 3690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3691
Epoch 3691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3692
Epoch 3692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3693
Epoch 3693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3694
Epoch 3694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3695
Epoch 3695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3696
Epoch 3696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3697
Epoch 3697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3698
Epoch 3698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3699
Epoch 3699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3700
Epoch 3700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3701
Epoch 3701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3702
Epoch 3702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3703
Epoch 3703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3704
Epoch 3704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3705
Epoch 3705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3706
Epoch 3706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3707
Epoch 3707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3708
Epoch 3708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3709
Epoch 3709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3710
Epoch 3710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3711
Epoch 3711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3712
Epoch 3712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3713
Epoch 3713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3714
Epoch 3714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3715
Epoch 3715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3716
Epoch 3716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3717
Epoch 3717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3718
Epoch 3718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3719
Epoch 3719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3720
Epoch 3720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3721
Epoch 3721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3722
Epoch 3722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3723
Epoch 3723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3724
Epoch 3724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3725
Epoch 3725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3726
Epoch 3726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3727
Epoch 3727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3728
Epoch 3728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3729
Epoch 3729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3730
Epoch 3730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3731
Epoch 3731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3732
Epoch 3732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3733
Epoch 3733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3734
Epoch 3734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3735
Epoch 3735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3736
Epoch 3736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3737
Epoch 3737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3738
Epoch 3738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3739
Epoch 3739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3740
Epoch 3740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3741
Epoch 3741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3742
Epoch 3742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3743
Epoch 3743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3744
Epoch 3744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3745
Epoch 3745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3746
Epoch 3746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3747
Epoch 3747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3748
Epoch 3748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3749
Epoch 3749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3750
Epoch 3750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3751
Epoch 3751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3752
Epoch 3752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3753
Epoch 3753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3754
Epoch 3754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3755
Epoch 3755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3756
Epoch 3756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3757
Epoch 3757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3758
Epoch 3758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3759
Epoch 3759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3760
Epoch 3760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3761
Epoch 3761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3762
Epoch 3762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3763
Epoch 3763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3764
Epoch 3764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3765
Epoch 3765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3766
Epoch 3766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3767
Epoch 3767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3768
Epoch 3768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3769
Epoch 3769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3770
Epoch 3770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3771
Epoch 3771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3772
Epoch 3772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3773
Epoch 3773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3774
Epoch 3774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3775
Epoch 3775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3776
Epoch 3776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3777
Epoch 3777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3778
Epoch 3778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3779
Epoch 3779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3780
Epoch 3780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3781
Epoch 3781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3782
Epoch 3782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3783
Epoch 3783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3784
Epoch 3784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3785
Epoch 3785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3786
Epoch 3786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3787
Epoch 3787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3788
Epoch 3788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3789
Epoch 3789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3790
Epoch 3790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3791
Epoch 3791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3792
Epoch 3792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3793
Epoch 3793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3794
Epoch 3794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3795
Epoch 3795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3796
Epoch 3796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3797
Epoch 3797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3798
Epoch 3798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3799
Epoch 3799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3800
Epoch 3800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3801
Epoch 3801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3802
Epoch 3802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3803
Epoch 3803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3804
Epoch 3804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3805
Epoch 3805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3806
Epoch 3806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3807
Epoch 3807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3808
Epoch 3808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3809
Epoch 3809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3810
Epoch 3810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3811
Epoch 3811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3812
Epoch 3812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3813
Epoch 3813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3814
Epoch 3814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3815
Epoch 3815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3816
Epoch 3816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3817
Epoch 3817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3818
Epoch 3818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3819
Epoch 3819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3820
Epoch 3820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3821
Epoch 3821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3822
Epoch 3822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3823
Epoch 3823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3824
Epoch 3824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3825
Epoch 3825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3826
Epoch 3826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3827
Epoch 3827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3828
Epoch 3828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3829
Epoch 3829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3830
Epoch 3830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3831
Epoch 3831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3832
Epoch 3832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3833
Epoch 3833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3834
Epoch 3834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3835
Epoch 3835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3836
Epoch 3836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3837
Epoch 3837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3838
Epoch 3838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3839
Epoch 3839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3840
Epoch 3840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3841
Epoch 3841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3842
Epoch 3842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3843
Epoch 3843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3844
Epoch 3844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3845
Epoch 3845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3846
Epoch 3846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3847
Epoch 3847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3848
Epoch 3848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3849
Epoch 3849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3850
Epoch 3850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3851
Epoch 3851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3852
Epoch 3852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3853
Epoch 3853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3854
Epoch 3854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3855
Epoch 3855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3856
Epoch 3856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3857
Epoch 3857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3858
Epoch 3858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3859
Epoch 3859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3860
Epoch 3860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3861
Epoch 3861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3862
Epoch 3862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3863
Epoch 3863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3864
Epoch 3864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3865
Epoch 3865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3866
Epoch 3866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3867
Epoch 3867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3868
Epoch 3868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3869
Epoch 3869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3870
Epoch 3870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3871
Epoch 3871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3872
Epoch 3872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3873
Epoch 3873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3874
Epoch 3874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3875
Epoch 3875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3876
Epoch 3876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3877
Epoch 3877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3878
Epoch 3878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3879
Epoch 3879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3880
Epoch 3880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3881
Epoch 3881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3882
Epoch 3882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3883
Epoch 3883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3884
Epoch 3884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3885
Epoch 3885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3886
Epoch 3886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3887
Epoch 3887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3888
Epoch 3888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3889
Epoch 3889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3890
Epoch 3890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3891
Epoch 3891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3892
Epoch 3892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3893
Epoch 3893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3894
Epoch 3894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3895
Epoch 3895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3896
Epoch 3896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3897
Epoch 3897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3898
Epoch 3898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3899
Epoch 3899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3900
Epoch 3900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3901
Epoch 3901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3902
Epoch 3902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3903
Epoch 3903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3904
Epoch 3904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3905
Epoch 3905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3906
Epoch 3906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3907
Epoch 3907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3908
Epoch 3908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3909
Epoch 3909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3910
Epoch 3910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3911
Epoch 3911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3912
Epoch 3912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3913
Epoch 3913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3914
Epoch 3914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3915
Epoch 3915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3916
Epoch 3916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3917
Epoch 3917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3918
Epoch 3918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3919
Epoch 3919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3920
Epoch 3920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3921
Epoch 3921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3922
Epoch 3922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3923
Epoch 3923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3924
Epoch 3924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3925
Epoch 3925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3926
Epoch 3926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3927
Epoch 3927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3928
Epoch 3928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3929
Epoch 3929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3930
Epoch 3930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3931
Epoch 3931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3932
Epoch 3932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3933
Epoch 3933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3934
Epoch 3934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3935
Epoch 3935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3936
Epoch 3936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3937
Epoch 3937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3938
Epoch 3938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3939
Epoch 3939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3940
Epoch 3940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3941
Epoch 3941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3942
Epoch 3942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3943
Epoch 3943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3944
Epoch 3944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3945
Epoch 3945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3946
Epoch 3946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3947
Epoch 3947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3948
Epoch 3948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3949
Epoch 3949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3950
Epoch 3950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3951
Epoch 3951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3952
Epoch 3952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3953
Epoch 3953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3954
Epoch 3954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3955
Epoch 3955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3956
Epoch 3956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3957
Epoch 3957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3958
Epoch 3958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3959
Epoch 3959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3960
Epoch 3960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3961
Epoch 3961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3962
Epoch 3962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3963
Epoch 3963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3964
Epoch 3964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3965
Epoch 3965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3966
Epoch 3966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3967
Epoch 3967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3968
Epoch 3968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3969
Epoch 3969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3970
Epoch 3970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3971
Epoch 3971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3972
Epoch 3972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3973
Epoch 3973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3974
Epoch 3974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3975
Epoch 3975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3976
Epoch 3976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3977
Epoch 3977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3978
Epoch 3978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3979
Epoch 3979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3980
Epoch 3980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3981
Epoch 3981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3982
Epoch 3982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3983
Epoch 3983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3984
Epoch 3984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3985
Epoch 3985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3986
Epoch 3986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3987
Epoch 3987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3988
Epoch 3988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3989
Epoch 3989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3990
Epoch 3990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3991
Epoch 3991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3992
Epoch 3992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3993
Epoch 3993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3994
Epoch 3994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3995
Epoch 3995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3996
Epoch 3996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3997
Epoch 3997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3998
Epoch 3998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 3999
Epoch 3999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4000
Epoch 4000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4001
Epoch 4001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4002
Epoch 4002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4003
Epoch 4003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4004
Epoch 4004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4005
Epoch 4005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4006
Epoch 4006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4007
Epoch 4007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4008
Epoch 4008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4009
Epoch 4009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4010
Epoch 4010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4011
Epoch 4011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4012
Epoch 4012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4013
Epoch 4013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4014
Epoch 4014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4015
Epoch 4015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4016
Epoch 4016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4017
Epoch 4017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4018
Epoch 4018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4019
Epoch 4019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4020
Epoch 4020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4021
Epoch 4021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4022
Epoch 4022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4023
Epoch 4023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4024
Epoch 4024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4025
Epoch 4025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4026
Epoch 4026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4027
Epoch 4027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4028
Epoch 4028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4029
Epoch 4029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4030
Epoch 4030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4031
Epoch 4031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4032
Epoch 4032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4033
Epoch 4033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4034
Epoch 4034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4035
Epoch 4035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4036
Epoch 4036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4037
Epoch 4037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4038
Epoch 4038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4039
Epoch 4039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4040
Epoch 4040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4041
Epoch 4041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4042
Epoch 4042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4043
Epoch 4043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4044
Epoch 4044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4045
Epoch 4045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4046
Epoch 4046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4047
Epoch 4047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4048
Epoch 4048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4049
Epoch 4049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4050
Epoch 4050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4051
Epoch 4051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4052
Epoch 4052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4053
Epoch 4053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4054
Epoch 4054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4055
Epoch 4055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4056
Epoch 4056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4057
Epoch 4057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4058
Epoch 4058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4059
Epoch 4059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4060
Epoch 4060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4061
Epoch 4061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4062
Epoch 4062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4063
Epoch 4063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4064
Epoch 4064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4065
Epoch 4065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4066
Epoch 4066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4067
Epoch 4067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4068
Epoch 4068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4069
Epoch 4069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4070
Epoch 4070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4071
Epoch 4071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4072
Epoch 4072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4073
Epoch 4073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4074
Epoch 4074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4075
Epoch 4075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4076
Epoch 4076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4077
Epoch 4077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4078
Epoch 4078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4079
Epoch 4079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4080
Epoch 4080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4081
Epoch 4081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4082
Epoch 4082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4083
Epoch 4083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4084
Epoch 4084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4085
Epoch 4085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4086
Epoch 4086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4087
Epoch 4087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4088
Epoch 4088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4089
Epoch 4089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4090
Epoch 4090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4091
Epoch 4091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4092
Epoch 4092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4093
Epoch 4093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4094
Epoch 4094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4095
Epoch 4095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4096
Epoch 4096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4097
Epoch 4097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4098
Epoch 4098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4099
Epoch 4099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4100
Epoch 4100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4101
Epoch 4101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4102
Epoch 4102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4103
Epoch 4103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4104
Epoch 4104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4105
Epoch 4105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4106
Epoch 4106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4107
Epoch 4107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4108
Epoch 4108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4109
Epoch 4109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4110
Epoch 4110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4111
Epoch 4111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4112
Epoch 4112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4113
Epoch 4113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4114
Epoch 4114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4115
Epoch 4115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4116
Epoch 4116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4117
Epoch 4117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4118
Epoch 4118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4119
Epoch 4119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4120
Epoch 4120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4121
Epoch 4121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4122
Epoch 4122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4123
Epoch 4123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4124
Epoch 4124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4125
Epoch 4125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4126
Epoch 4126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4127
Epoch 4127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4128
Epoch 4128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4129
Epoch 4129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4130
Epoch 4130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4131
Epoch 4131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4132
Epoch 4132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4133
Epoch 4133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4134
Epoch 4134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4135
Epoch 4135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4136
Epoch 4136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4137
Epoch 4137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4138
Epoch 4138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4139
Epoch 4139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4140
Epoch 4140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4141
Epoch 4141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4142
Epoch 4142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4143
Epoch 4143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4144
Epoch 4144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4145
Epoch 4145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4146
Epoch 4146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4147
Epoch 4147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4148
Epoch 4148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4149
Epoch 4149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4150
Epoch 4150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4151
Epoch 4151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4152
Epoch 4152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4153
Epoch 4153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4154
Epoch 4154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4155
Epoch 4155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4156
Epoch 4156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4157
Epoch 4157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4158
Epoch 4158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4159
Epoch 4159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4160
Epoch 4160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4161
Epoch 4161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4162
Epoch 4162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4163
Epoch 4163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4164
Epoch 4164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4165
Epoch 4165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4166
Epoch 4166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4167
Epoch 4167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4168
Epoch 4168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4169
Epoch 4169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4170
Epoch 4170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4171
Epoch 4171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4172
Epoch 4172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4173
Epoch 4173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4174
Epoch 4174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4175
Epoch 4175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4176
Epoch 4176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4177
Epoch 4177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4178
Epoch 4178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4179
Epoch 4179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4180
Epoch 4180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4181
Epoch 4181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4182
Epoch 4182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4183
Epoch 4183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4184
Epoch 4184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4185
Epoch 4185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4186
Epoch 4186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4187
Epoch 4187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4188
Epoch 4188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4189
Epoch 4189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4190
Epoch 4190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4191
Epoch 4191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4192
Epoch 4192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4193
Epoch 4193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4194
Epoch 4194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4195
Epoch 4195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4196
Epoch 4196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4197
Epoch 4197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4198
Epoch 4198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4199
Epoch 4199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4200
Epoch 4200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4201
Epoch 4201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4202
Epoch 4202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4203
Epoch 4203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4204
Epoch 4204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4205
Epoch 4205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4206
Epoch 4206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4207
Epoch 4207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4208
Epoch 4208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4209
Epoch 4209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4210
Epoch 4210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4211
Epoch 4211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4212
Epoch 4212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4213
Epoch 4213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4214
Epoch 4214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4215
Epoch 4215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4216
Epoch 4216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4217
Epoch 4217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4218
Epoch 4218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4219
Epoch 4219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4220
Epoch 4220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4221
Epoch 4221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4222
Epoch 4222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4223
Epoch 4223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4224
Epoch 4224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4225
Epoch 4225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4226
Epoch 4226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4227
Epoch 4227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4228
Epoch 4228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4229
Epoch 4229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4230
Epoch 4230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4231
Epoch 4231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4232
Epoch 4232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4233
Epoch 4233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4234
Epoch 4234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4235
Epoch 4235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4236
Epoch 4236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4237
Epoch 4237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4238
Epoch 4238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4239
Epoch 4239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4240
Epoch 4240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4241
Epoch 4241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4242
Epoch 4242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4243
Epoch 4243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4244
Epoch 4244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4245
Epoch 4245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4246
Epoch 4246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4247
Epoch 4247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4248
Epoch 4248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4249
Epoch 4249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4250
Epoch 4250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4251
Epoch 4251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4252
Epoch 4252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4253
Epoch 4253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4254
Epoch 4254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4255
Epoch 4255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4256
Epoch 4256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4257
Epoch 4257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4258
Epoch 4258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4259
Epoch 4259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4260
Epoch 4260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4261
Epoch 4261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4262
Epoch 4262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4263
Epoch 4263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4264
Epoch 4264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4265
Epoch 4265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4266
Epoch 4266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4267
Epoch 4267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4268
Epoch 4268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4269
Epoch 4269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4270
Epoch 4270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4271
Epoch 4271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4272
Epoch 4272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4273
Epoch 4273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4274
Epoch 4274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4275
Epoch 4275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4276
Epoch 4276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4277
Epoch 4277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4278
Epoch 4278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4279
Epoch 4279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4280
Epoch 4280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4281
Epoch 4281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4282
Epoch 4282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4283
Epoch 4283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4284
Epoch 4284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4285
Epoch 4285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4286
Epoch 4286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4287
Epoch 4287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4288
Epoch 4288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4289
Epoch 4289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4290
Epoch 4290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4291
Epoch 4291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4292
Epoch 4292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4293
Epoch 4293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4294
Epoch 4294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4295
Epoch 4295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4296
Epoch 4296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4297
Epoch 4297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4298
Epoch 4298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4299
Epoch 4299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4300
Epoch 4300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4301
Epoch 4301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4302
Epoch 4302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4303
Epoch 4303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4304
Epoch 4304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4305
Epoch 4305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4306
Epoch 4306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4307
Epoch 4307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4308
Epoch 4308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4309
Epoch 4309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4310
Epoch 4310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4311
Epoch 4311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4312
Epoch 4312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4313
Epoch 4313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4314
Epoch 4314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4315
Epoch 4315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4316
Epoch 4316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4317
Epoch 4317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4318
Epoch 4318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4319
Epoch 4319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4320
Epoch 4320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4321
Epoch 4321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4322
Epoch 4322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4323
Epoch 4323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4324
Epoch 4324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4325
Epoch 4325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4326
Epoch 4326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4327
Epoch 4327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4328
Epoch 4328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4329
Epoch 4329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4330
Epoch 4330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4331
Epoch 4331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4332
Epoch 4332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4333
Epoch 4333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4334
Epoch 4334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4335
Epoch 4335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4336
Epoch 4336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4337
Epoch 4337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4338
Epoch 4338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4339
Epoch 4339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4340
Epoch 4340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4341
Epoch 4341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4342
Epoch 4342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4343
Epoch 4343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4344
Epoch 4344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4345
Epoch 4345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4346
Epoch 4346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4347
Epoch 4347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4348
Epoch 4348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4349
Epoch 4349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4350
Epoch 4350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4351
Epoch 4351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4352
Epoch 4352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4353
Epoch 4353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4354
Epoch 4354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4355
Epoch 4355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4356
Epoch 4356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4357
Epoch 4357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4358
Epoch 4358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4359
Epoch 4359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4360
Epoch 4360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4361
Epoch 4361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4362
Epoch 4362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4363
Epoch 4363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4364
Epoch 4364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4365
Epoch 4365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4366
Epoch 4366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4367
Epoch 4367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4368
Epoch 4368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4369
Epoch 4369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4370
Epoch 4370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4371
Epoch 4371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4372
Epoch 4372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4373
Epoch 4373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4374
Epoch 4374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4375
Epoch 4375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4376
Epoch 4376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4377
Epoch 4377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4378
Epoch 4378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4379
Epoch 4379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4380
Epoch 4380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4381
Epoch 4381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4382
Epoch 4382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4383
Epoch 4383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4384
Epoch 4384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4385
Epoch 4385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4386
Epoch 4386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4387
Epoch 4387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4388
Epoch 4388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4389
Epoch 4389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4390
Epoch 4390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4391
Epoch 4391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4392
Epoch 4392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4393
Epoch 4393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4394
Epoch 4394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4395
Epoch 4395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4396
Epoch 4396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4397
Epoch 4397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4398
Epoch 4398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4399
Epoch 4399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4400
Epoch 4400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4401
Epoch 4401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4402
Epoch 4402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4403
Epoch 4403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4404
Epoch 4404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4405
Epoch 4405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4406
Epoch 4406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4407
Epoch 4407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4408
Epoch 4408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4409
Epoch 4409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4410
Epoch 4410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4411
Epoch 4411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4412
Epoch 4412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4413
Epoch 4413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4414
Epoch 4414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4415
Epoch 4415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4416
Epoch 4416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4417
Epoch 4417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4418
Epoch 4418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4419
Epoch 4419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4420
Epoch 4420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4421
Epoch 4421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4422
Epoch 4422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4423
Epoch 4423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4424
Epoch 4424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4425
Epoch 4425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4426
Epoch 4426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4427
Epoch 4427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4428
Epoch 4428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4429
Epoch 4429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4430
Epoch 4430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4431
Epoch 4431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4432
Epoch 4432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4433
Epoch 4433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4434
Epoch 4434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4435
Epoch 4435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4436
Epoch 4436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4437
Epoch 4437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4438
Epoch 4438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4439
Epoch 4439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4440
Epoch 4440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4441
Epoch 4441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4442
Epoch 4442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4443
Epoch 4443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4444
Epoch 4444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4445
Epoch 4445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4446
Epoch 4446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4447
Epoch 4447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4448
Epoch 4448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4449
Epoch 4449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4450
Epoch 4450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4451
Epoch 4451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4452
Epoch 4452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4453
Epoch 4453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4454
Epoch 4454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4455
Epoch 4455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4456
Epoch 4456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4457
Epoch 4457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4458
Epoch 4458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4459
Epoch 4459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4460
Epoch 4460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4461
Epoch 4461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4462
Epoch 4462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4463
Epoch 4463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4464
Epoch 4464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4465
Epoch 4465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4466
Epoch 4466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4467
Epoch 4467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4468
Epoch 4468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4469
Epoch 4469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4470
Epoch 4470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4471
Epoch 4471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4472
Epoch 4472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4473
Epoch 4473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4474
Epoch 4474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4475
Epoch 4475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4476
Epoch 4476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4477
Epoch 4477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4478
Epoch 4478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4479
Epoch 4479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4480
Epoch 4480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4481
Epoch 4481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4482
Epoch 4482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4483
Epoch 4483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4484
Epoch 4484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4485
Epoch 4485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4486
Epoch 4486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4487
Epoch 4487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4488
Epoch 4488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4489
Epoch 4489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4490
Epoch 4490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4491
Epoch 4491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4492
Epoch 4492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4493
Epoch 4493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4494
Epoch 4494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4495
Epoch 4495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4496
Epoch 4496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4497
Epoch 4497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4498
Epoch 4498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4499
Epoch 4499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4500
Epoch 4500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4501
Epoch 4501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4502
Epoch 4502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4503
Epoch 4503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4504
Epoch 4504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4505
Epoch 4505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4506
Epoch 4506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4507
Epoch 4507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4508
Epoch 4508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4509
Epoch 4509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4510
Epoch 4510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4511
Epoch 4511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4512
Epoch 4512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4513
Epoch 4513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4514
Epoch 4514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4515
Epoch 4515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4516
Epoch 4516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4517
Epoch 4517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4518
Epoch 4518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4519
Epoch 4519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4520
Epoch 4520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4521
Epoch 4521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4522
Epoch 4522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4523
Epoch 4523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4524
Epoch 4524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4525
Epoch 4525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4526
Epoch 4526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4527
Epoch 4527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4528
Epoch 4528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4529
Epoch 4529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4530
Epoch 4530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4531
Epoch 4531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4532
Epoch 4532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4533
Epoch 4533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4534
Epoch 4534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4535
Epoch 4535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4536
Epoch 4536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4537
Epoch 4537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4538
Epoch 4538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4539
Epoch 4539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4540
Epoch 4540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4541
Epoch 4541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4542
Epoch 4542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4543
Epoch 4543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4544
Epoch 4544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4545
Epoch 4545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4546
Epoch 4546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4547
Epoch 4547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4548
Epoch 4548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4549
Epoch 4549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4550
Epoch 4550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4551
Epoch 4551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4552
Epoch 4552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4553
Epoch 4553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4554
Epoch 4554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4555
Epoch 4555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4556
Epoch 4556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4557
Epoch 4557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4558
Epoch 4558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4559
Epoch 4559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4560
Epoch 4560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4561
Epoch 4561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4562
Epoch 4562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4563
Epoch 4563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4564
Epoch 4564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4565
Epoch 4565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4566
Epoch 4566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4567
Epoch 4567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4568
Epoch 4568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4569
Epoch 4569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4570
Epoch 4570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4571
Epoch 4571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4572
Epoch 4572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4573
Epoch 4573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4574
Epoch 4574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4575
Epoch 4575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4576
Epoch 4576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4577
Epoch 4577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4578
Epoch 4578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4579
Epoch 4579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4580
Epoch 4580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4581
Epoch 4581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4582
Epoch 4582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4583
Epoch 4583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4584
Epoch 4584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4585
Epoch 4585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4586
Epoch 4586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4587
Epoch 4587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4588
Epoch 4588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4589
Epoch 4589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4590
Epoch 4590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4591
Epoch 4591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4592
Epoch 4592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4593
Epoch 4593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4594
Epoch 4594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4595
Epoch 4595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4596
Epoch 4596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4597
Epoch 4597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4598
Epoch 4598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4599
Epoch 4599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4600
Epoch 4600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4601
Epoch 4601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4602
Epoch 4602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4603
Epoch 4603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4604
Epoch 4604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4605
Epoch 4605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4606
Epoch 4606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4607
Epoch 4607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4608
Epoch 4608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4609
Epoch 4609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4610
Epoch 4610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4611
Epoch 4611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4612
Epoch 4612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4613
Epoch 4613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4614
Epoch 4614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4615
Epoch 4615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4616
Epoch 4616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4617
Epoch 4617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4618
Epoch 4618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4619
Epoch 4619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4620
Epoch 4620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4621
Epoch 4621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4622
Epoch 4622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4623
Epoch 4623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4624
Epoch 4624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4625
Epoch 4625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4626
Epoch 4626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4627
Epoch 4627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4628
Epoch 4628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4629
Epoch 4629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4630
Epoch 4630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4631
Epoch 4631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4632
Epoch 4632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4633
Epoch 4633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4634
Epoch 4634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4635
Epoch 4635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4636
Epoch 4636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4637
Epoch 4637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4638
Epoch 4638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4639
Epoch 4639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4640
Epoch 4640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4641
Epoch 4641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4642
Epoch 4642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4643
Epoch 4643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4644
Epoch 4644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4645
Epoch 4645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4646
Epoch 4646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4647
Epoch 4647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4648
Epoch 4648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4649
Epoch 4649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4650
Epoch 4650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4651
Epoch 4651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4652
Epoch 4652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4653
Epoch 4653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4654
Epoch 4654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4655
Epoch 4655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4656
Epoch 4656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4657
Epoch 4657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4658
Epoch 4658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4659
Epoch 4659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4660
Epoch 4660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4661
Epoch 4661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4662
Epoch 4662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4663
Epoch 4663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4664
Epoch 4664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4665
Epoch 4665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4666
Epoch 4666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4667
Epoch 4667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4668
Epoch 4668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4669
Epoch 4669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4670
Epoch 4670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4671
Epoch 4671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4672
Epoch 4672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4673
Epoch 4673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4674
Epoch 4674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4675
Epoch 4675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4676
Epoch 4676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4677
Epoch 4677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4678
Epoch 4678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4679
Epoch 4679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4680
Epoch 4680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4681
Epoch 4681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4682
Epoch 4682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4683
Epoch 4683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4684
Epoch 4684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4685
Epoch 4685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4686
Epoch 4686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4687
Epoch 4687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4688
Epoch 4688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4689
Epoch 4689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4690
Epoch 4690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4691
Epoch 4691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4692
Epoch 4692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4693
Epoch 4693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4694
Epoch 4694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4695
Epoch 4695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4696
Epoch 4696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4697
Epoch 4697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4698
Epoch 4698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4699
Epoch 4699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4700
Epoch 4700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4701
Epoch 4701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4702
Epoch 4702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4703
Epoch 4703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4704
Epoch 4704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4705
Epoch 4705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4706
Epoch 4706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4707
Epoch 4707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4708
Epoch 4708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4709
Epoch 4709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4710
Epoch 4710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4711
Epoch 4711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4712
Epoch 4712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4713
Epoch 4713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4714
Epoch 4714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4715
Epoch 4715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4716
Epoch 4716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4717
Epoch 4717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4718
Epoch 4718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4719
Epoch 4719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4720
Epoch 4720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4721
Epoch 4721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4722
Epoch 4722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4723
Epoch 4723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4724
Epoch 4724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4725
Epoch 4725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4726
Epoch 4726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4727
Epoch 4727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4728
Epoch 4728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4729
Epoch 4729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4730
Epoch 4730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4731
Epoch 4731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4732
Epoch 4732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4733
Epoch 4733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4734
Epoch 4734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4735
Epoch 4735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4736
Epoch 4736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4737
Epoch 4737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4738
Epoch 4738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4739
Epoch 4739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4740
Epoch 4740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4741
Epoch 4741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4742
Epoch 4742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4743
Epoch 4743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4744
Epoch 4744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4745
Epoch 4745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4746
Epoch 4746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4747
Epoch 4747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4748
Epoch 4748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4749
Epoch 4749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4750
Epoch 4750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4751
Epoch 4751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4752
Epoch 4752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4753
Epoch 4753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4754
Epoch 4754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4755
Epoch 4755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4756
Epoch 4756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4757
Epoch 4757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4758
Epoch 4758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4759
Epoch 4759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4760
Epoch 4760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4761
Epoch 4761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4762
Epoch 4762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4763
Epoch 4763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4764
Epoch 4764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4765
Epoch 4765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4766
Epoch 4766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4767
Epoch 4767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4768
Epoch 4768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4769
Epoch 4769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4770
Epoch 4770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4771
Epoch 4771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4772
Epoch 4772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4773
Epoch 4773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4774
Epoch 4774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4775
Epoch 4775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4776
Epoch 4776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4777
Epoch 4777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4778
Epoch 4778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4779
Epoch 4779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4780
Epoch 4780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4781
Epoch 4781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4782
Epoch 4782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4783
Epoch 4783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4784
Epoch 4784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4785
Epoch 4785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4786
Epoch 4786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4787
Epoch 4787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4788
Epoch 4788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4789
Epoch 4789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4790
Epoch 4790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4791
Epoch 4791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4792
Epoch 4792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4793
Epoch 4793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4794
Epoch 4794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4795
Epoch 4795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4796
Epoch 4796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4797
Epoch 4797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4798
Epoch 4798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4799
Epoch 4799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4800
Epoch 4800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4801
Epoch 4801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4802
Epoch 4802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4803
Epoch 4803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4804
Epoch 4804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4805
Epoch 4805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4806
Epoch 4806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4807
Epoch 4807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4808
Epoch 4808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4809
Epoch 4809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4810
Epoch 4810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4811
Epoch 4811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4812
Epoch 4812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4813
Epoch 4813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4814
Epoch 4814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4815
Epoch 4815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4816
Epoch 4816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4817
Epoch 4817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4818
Epoch 4818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4819
Epoch 4819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4820
Epoch 4820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4821
Epoch 4821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4822
Epoch 4822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4823
Epoch 4823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4824
Epoch 4824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4825
Epoch 4825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4826
Epoch 4826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4827
Epoch 4827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4828
Epoch 4828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4829
Epoch 4829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4830
Epoch 4830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4831
Epoch 4831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4832
Epoch 4832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4833
Epoch 4833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4834
Epoch 4834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4835
Epoch 4835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4836
Epoch 4836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4837
Epoch 4837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4838
Epoch 4838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4839
Epoch 4839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4840
Epoch 4840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4841
Epoch 4841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4842
Epoch 4842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4843
Epoch 4843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4844
Epoch 4844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4845
Epoch 4845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4846
Epoch 4846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4847
Epoch 4847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4848
Epoch 4848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4849
Epoch 4849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4850
Epoch 4850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4851
Epoch 4851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4852
Epoch 4852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4853
Epoch 4853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4854
Epoch 4854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4855
Epoch 4855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4856
Epoch 4856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4857
Epoch 4857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4858
Epoch 4858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4859
Epoch 4859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4860
Epoch 4860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4861
Epoch 4861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4862
Epoch 4862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4863
Epoch 4863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4864
Epoch 4864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4865
Epoch 4865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4866
Epoch 4866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4867
Epoch 4867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4868
Epoch 4868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4869
Epoch 4869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4870
Epoch 4870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4871
Epoch 4871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4872
Epoch 4872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4873
Epoch 4873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4874
Epoch 4874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4875
Epoch 4875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4876
Epoch 4876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4877
Epoch 4877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4878
Epoch 4878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4879
Epoch 4879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4880
Epoch 4880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4881
Epoch 4881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4882
Epoch 4882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4883
Epoch 4883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4884
Epoch 4884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4885
Epoch 4885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4886
Epoch 4886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4887
Epoch 4887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4888
Epoch 4888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4889
Epoch 4889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4890
Epoch 4890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4891
Epoch 4891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4892
Epoch 4892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4893
Epoch 4893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4894
Epoch 4894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4895
Epoch 4895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4896
Epoch 4896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4897
Epoch 4897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4898
Epoch 4898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4899
Epoch 4899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4900
Epoch 4900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4901
Epoch 4901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4902
Epoch 4902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4903
Epoch 4903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4904
Epoch 4904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4905
Epoch 4905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4906
Epoch 4906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4907
Epoch 4907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4908
Epoch 4908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4909
Epoch 4909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4910
Epoch 4910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4911
Epoch 4911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4912
Epoch 4912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4913
Epoch 4913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4914
Epoch 4914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4915
Epoch 4915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4916
Epoch 4916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4917
Epoch 4917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4918
Epoch 4918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4919
Epoch 4919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4920
Epoch 4920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4921
Epoch 4921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4922
Epoch 4922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4923
Epoch 4923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4924
Epoch 4924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4925
Epoch 4925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4926
Epoch 4926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4927
Epoch 4927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4928
Epoch 4928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4929
Epoch 4929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4930
Epoch 4930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4931
Epoch 4931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4932
Epoch 4932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4933
Epoch 4933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4934
Epoch 4934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4935
Epoch 4935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4936
Epoch 4936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4937
Epoch 4937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4938
Epoch 4938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4939
Epoch 4939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4940
Epoch 4940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4941
Epoch 4941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4942
Epoch 4942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4943
Epoch 4943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4944
Epoch 4944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4945
Epoch 4945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4946
Epoch 4946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4947
Epoch 4947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4948
Epoch 4948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4949
Epoch 4949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4950
Epoch 4950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4951
Epoch 4951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4952
Epoch 4952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4953
Epoch 4953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4954
Epoch 4954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4955
Epoch 4955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4956
Epoch 4956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4957
Epoch 4957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4958
Epoch 4958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4959
Epoch 4959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4960
Epoch 4960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4961
Epoch 4961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4962
Epoch 4962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4963
Epoch 4963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4964
Epoch 4964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4965
Epoch 4965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4966
Epoch 4966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4967
Epoch 4967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4968
Epoch 4968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4969
Epoch 4969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4970
Epoch 4970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4971
Epoch 4971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4972
Epoch 4972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4973
Epoch 4973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4974
Epoch 4974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4975
Epoch 4975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4976
Epoch 4976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4977
Epoch 4977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4978
Epoch 4978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4979
Epoch 4979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4980
Epoch 4980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4981
Epoch 4981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4982
Epoch 4982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4983
Epoch 4983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4984
Epoch 4984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4985
Epoch 4985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4986
Epoch 4986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4987
Epoch 4987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4988
Epoch 4988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4989
Epoch 4989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4990
Epoch 4990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4991
Epoch 4991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4992
Epoch 4992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4993
Epoch 4993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4994
Epoch 4994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4995
Epoch 4995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4996
Epoch 4996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4997
Epoch 4997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4998
Epoch 4998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 4999
Epoch 4999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5000
Epoch 5000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5001
Epoch 5001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5002
Epoch 5002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5003
Epoch 5003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5004
Epoch 5004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5005
Epoch 5005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5006
Epoch 5006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5007
Epoch 5007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5008
Epoch 5008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5009
Epoch 5009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5010
Epoch 5010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5011
Epoch 5011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5012
Epoch 5012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5013
Epoch 5013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5014
Epoch 5014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5015
Epoch 5015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5016
Epoch 5016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5017
Epoch 5017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5018
Epoch 5018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5019
Epoch 5019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5020
Epoch 5020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5021
Epoch 5021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5022
Epoch 5022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5023
Epoch 5023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5024
Epoch 5024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5025
Epoch 5025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5026
Epoch 5026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5027
Epoch 5027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5028
Epoch 5028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5029
Epoch 5029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5030
Epoch 5030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5031
Epoch 5031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5032
Epoch 5032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5033
Epoch 5033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5034
Epoch 5034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5035
Epoch 5035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5036
Epoch 5036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5037
Epoch 5037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5038
Epoch 5038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5039
Epoch 5039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5040
Epoch 5040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5041
Epoch 5041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5042
Epoch 5042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5043
Epoch 5043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5044
Epoch 5044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5045
Epoch 5045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5046
Epoch 5046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5047
Epoch 5047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5048
Epoch 5048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5049
Epoch 5049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5050
Epoch 5050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5051
Epoch 5051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5052
Epoch 5052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5053
Epoch 5053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5054
Epoch 5054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5055
Epoch 5055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5056
Epoch 5056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5057
Epoch 5057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5058
Epoch 5058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5059
Epoch 5059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5060
Epoch 5060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5061
Epoch 5061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5062
Epoch 5062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5063
Epoch 5063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5064
Epoch 5064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5065
Epoch 5065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5066
Epoch 5066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5067
Epoch 5067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5068
Epoch 5068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5069
Epoch 5069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5070
Epoch 5070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5071
Epoch 5071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5072
Epoch 5072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5073
Epoch 5073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5074
Epoch 5074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5075
Epoch 5075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5076
Epoch 5076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5077
Epoch 5077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5078
Epoch 5078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5079
Epoch 5079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5080
Epoch 5080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5081
Epoch 5081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5082
Epoch 5082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5083
Epoch 5083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5084
Epoch 5084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5085
Epoch 5085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5086
Epoch 5086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5087
Epoch 5087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5088
Epoch 5088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5089
Epoch 5089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5090
Epoch 5090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5091
Epoch 5091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5092
Epoch 5092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5093
Epoch 5093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5094
Epoch 5094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5095
Epoch 5095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5096
Epoch 5096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5097
Epoch 5097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5098
Epoch 5098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5099
Epoch 5099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5100
Epoch 5100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5101
Epoch 5101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5102
Epoch 5102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5103
Epoch 5103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5104
Epoch 5104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5105
Epoch 5105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5106
Epoch 5106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5107
Epoch 5107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5108
Epoch 5108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5109
Epoch 5109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5110
Epoch 5110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5111
Epoch 5111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5112
Epoch 5112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5113
Epoch 5113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5114
Epoch 5114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5115
Epoch 5115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5116
Epoch 5116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5117
Epoch 5117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5118
Epoch 5118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5119
Epoch 5119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5120
Epoch 5120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5121
Epoch 5121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5122
Epoch 5122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5123
Epoch 5123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5124
Epoch 5124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5125
Epoch 5125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5126
Epoch 5126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5127
Epoch 5127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5128
Epoch 5128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5129
Epoch 5129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5130
Epoch 5130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5131
Epoch 5131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5132
Epoch 5132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5133
Epoch 5133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5134
Epoch 5134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5135
Epoch 5135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5136
Epoch 5136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5137
Epoch 5137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5138
Epoch 5138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5139
Epoch 5139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5140
Epoch 5140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5141
Epoch 5141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5142
Epoch 5142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5143
Epoch 5143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5144
Epoch 5144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5145
Epoch 5145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5146
Epoch 5146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5147
Epoch 5147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5148
Epoch 5148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5149
Epoch 5149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5150
Epoch 5150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5151
Epoch 5151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5152
Epoch 5152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5153
Epoch 5153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5154
Epoch 5154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5155
Epoch 5155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5156
Epoch 5156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5157
Epoch 5157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5158
Epoch 5158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5159
Epoch 5159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5160
Epoch 5160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5161
Epoch 5161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5162
Epoch 5162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5163
Epoch 5163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5164
Epoch 5164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5165
Epoch 5165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5166
Epoch 5166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5167
Epoch 5167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5168
Epoch 5168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5169
Epoch 5169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5170
Epoch 5170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5171
Epoch 5171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5172
Epoch 5172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5173
Epoch 5173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5174
Epoch 5174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5175
Epoch 5175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5176
Epoch 5176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5177
Epoch 5177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5178
Epoch 5178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5179
Epoch 5179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5180
Epoch 5180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5181
Epoch 5181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5182
Epoch 5182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5183
Epoch 5183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5184
Epoch 5184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5185
Epoch 5185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5186
Epoch 5186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5187
Epoch 5187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5188
Epoch 5188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5189
Epoch 5189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5190
Epoch 5190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5191
Epoch 5191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5192
Epoch 5192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5193
Epoch 5193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5194
Epoch 5194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5195
Epoch 5195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5196
Epoch 5196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5197
Epoch 5197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5198
Epoch 5198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5199
Epoch 5199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5200
Epoch 5200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5201
Epoch 5201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5202
Epoch 5202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5203
Epoch 5203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5204
Epoch 5204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5205
Epoch 5205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5206
Epoch 5206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5207
Epoch 5207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5208
Epoch 5208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5209
Epoch 5209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5210
Epoch 5210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5211
Epoch 5211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5212
Epoch 5212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5213
Epoch 5213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5214
Epoch 5214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5215
Epoch 5215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5216
Epoch 5216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5217
Epoch 5217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5218
Epoch 5218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5219
Epoch 5219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5220
Epoch 5220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5221
Epoch 5221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5222
Epoch 5222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5223
Epoch 5223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5224
Epoch 5224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5225
Epoch 5225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5226
Epoch 5226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5227
Epoch 5227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5228
Epoch 5228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5229
Epoch 5229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5230
Epoch 5230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5231
Epoch 5231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5232
Epoch 5232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5233
Epoch 5233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5234
Epoch 5234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5235
Epoch 5235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5236
Epoch 5236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5237
Epoch 5237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5238
Epoch 5238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5239
Epoch 5239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5240
Epoch 5240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5241
Epoch 5241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5242
Epoch 5242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5243
Epoch 5243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5244
Epoch 5244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5245
Epoch 5245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5246
Epoch 5246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5247
Epoch 5247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5248
Epoch 5248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5249
Epoch 5249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5250
Epoch 5250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5251
Epoch 5251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5252
Epoch 5252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5253
Epoch 5253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5254
Epoch 5254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5255
Epoch 5255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5256
Epoch 5256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5257
Epoch 5257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5258
Epoch 5258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5259
Epoch 5259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5260
Epoch 5260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5261
Epoch 5261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5262
Epoch 5262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5263
Epoch 5263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5264
Epoch 5264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5265
Epoch 5265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5266
Epoch 5266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5267
Epoch 5267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5268
Epoch 5268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5269
Epoch 5269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5270
Epoch 5270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5271
Epoch 5271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5272
Epoch 5272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5273
Epoch 5273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5274
Epoch 5274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5275
Epoch 5275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5276
Epoch 5276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5277
Epoch 5277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5278
Epoch 5278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5279
Epoch 5279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5280
Epoch 5280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5281
Epoch 5281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5282
Epoch 5282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5283
Epoch 5283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5284
Epoch 5284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5285
Epoch 5285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5286
Epoch 5286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5287
Epoch 5287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5288
Epoch 5288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5289
Epoch 5289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5290
Epoch 5290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5291
Epoch 5291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5292
Epoch 5292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5293
Epoch 5293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5294
Epoch 5294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5295
Epoch 5295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5296
Epoch 5296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5297
Epoch 5297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5298
Epoch 5298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5299
Epoch 5299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5300
Epoch 5300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5301
Epoch 5301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5302
Epoch 5302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5303
Epoch 5303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5304
Epoch 5304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5305
Epoch 5305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5306
Epoch 5306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5307
Epoch 5307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5308
Epoch 5308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5309
Epoch 5309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5310
Epoch 5310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5311
Epoch 5311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5312
Epoch 5312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5313
Epoch 5313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5314
Epoch 5314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5315
Epoch 5315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5316
Epoch 5316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5317
Epoch 5317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5318
Epoch 5318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5319
Epoch 5319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5320
Epoch 5320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5321
Epoch 5321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5322
Epoch 5322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5323
Epoch 5323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5324
Epoch 5324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5325
Epoch 5325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5326
Epoch 5326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5327
Epoch 5327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5328
Epoch 5328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5329
Epoch 5329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5330
Epoch 5330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5331
Epoch 5331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5332
Epoch 5332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5333
Epoch 5333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5334
Epoch 5334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5335
Epoch 5335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5336
Epoch 5336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5337
Epoch 5337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5338
Epoch 5338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5339
Epoch 5339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5340
Epoch 5340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5341
Epoch 5341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5342
Epoch 5342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5343
Epoch 5343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5344
Epoch 5344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5345
Epoch 5345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5346
Epoch 5346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5347
Epoch 5347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5348
Epoch 5348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5349
Epoch 5349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5350
Epoch 5350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5351
Epoch 5351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5352
Epoch 5352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5353
Epoch 5353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5354
Epoch 5354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5355
Epoch 5355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5356
Epoch 5356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5357
Epoch 5357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5358
Epoch 5358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5359
Epoch 5359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5360
Epoch 5360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5361
Epoch 5361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5362
Epoch 5362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5363
Epoch 5363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5364
Epoch 5364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5365
Epoch 5365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5366
Epoch 5366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5367
Epoch 5367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5368
Epoch 5368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5369
Epoch 5369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5370
Epoch 5370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5371
Epoch 5371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5372
Epoch 5372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5373
Epoch 5373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5374
Epoch 5374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5375
Epoch 5375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5376
Epoch 5376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5377
Epoch 5377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5378
Epoch 5378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5379
Epoch 5379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5380
Epoch 5380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5381
Epoch 5381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5382
Epoch 5382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5383
Epoch 5383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5384
Epoch 5384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5385
Epoch 5385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5386
Epoch 5386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5387
Epoch 5387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5388
Epoch 5388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5389
Epoch 5389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5390
Epoch 5390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5391
Epoch 5391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5392
Epoch 5392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5393
Epoch 5393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5394
Epoch 5394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5395
Epoch 5395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5396
Epoch 5396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5397
Epoch 5397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5398
Epoch 5398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5399
Epoch 5399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5400
Epoch 5400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5401
Epoch 5401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5402
Epoch 5402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5403
Epoch 5403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5404
Epoch 5404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5405
Epoch 5405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5406
Epoch 5406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5407
Epoch 5407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5408
Epoch 5408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5409
Epoch 5409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5410
Epoch 5410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5411
Epoch 5411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5412
Epoch 5412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5413
Epoch 5413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5414
Epoch 5414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5415
Epoch 5415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5416
Epoch 5416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5417
Epoch 5417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5418
Epoch 5418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5419
Epoch 5419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5420
Epoch 5420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5421
Epoch 5421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5422
Epoch 5422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5423
Epoch 5423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5424
Epoch 5424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5425
Epoch 5425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5426
Epoch 5426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5427
Epoch 5427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5428
Epoch 5428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5429
Epoch 5429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5430
Epoch 5430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5431
Epoch 5431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5432
Epoch 5432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5433
Epoch 5433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5434
Epoch 5434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5435
Epoch 5435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5436
Epoch 5436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5437
Epoch 5437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5438
Epoch 5438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5439
Epoch 5439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5440
Epoch 5440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5441
Epoch 5441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5442
Epoch 5442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5443
Epoch 5443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5444
Epoch 5444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5445
Epoch 5445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5446
Epoch 5446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5447
Epoch 5447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5448
Epoch 5448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5449
Epoch 5449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5450
Epoch 5450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5451
Epoch 5451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5452
Epoch 5452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5453
Epoch 5453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5454
Epoch 5454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5455
Epoch 5455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5456
Epoch 5456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5457
Epoch 5457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5458
Epoch 5458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5459
Epoch 5459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5460
Epoch 5460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5461
Epoch 5461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5462
Epoch 5462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5463
Epoch 5463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5464
Epoch 5464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5465
Epoch 5465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5466
Epoch 5466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5467
Epoch 5467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5468
Epoch 5468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5469
Epoch 5469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5470
Epoch 5470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5471
Epoch 5471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5472
Epoch 5472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5473
Epoch 5473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5474
Epoch 5474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5475
Epoch 5475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5476
Epoch 5476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5477
Epoch 5477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5478
Epoch 5478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5479
Epoch 5479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5480
Epoch 5480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5481
Epoch 5481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5482
Epoch 5482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5483
Epoch 5483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5484
Epoch 5484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5485
Epoch 5485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5486
Epoch 5486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5487
Epoch 5487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5488
Epoch 5488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5489
Epoch 5489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5490
Epoch 5490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5491
Epoch 5491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5492
Epoch 5492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5493
Epoch 5493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5494
Epoch 5494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5495
Epoch 5495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5496
Epoch 5496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5497
Epoch 5497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5498
Epoch 5498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5499
Epoch 5499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5500
Epoch 5500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5501
Epoch 5501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5502
Epoch 5502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5503
Epoch 5503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5504
Epoch 5504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5505
Epoch 5505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5506
Epoch 5506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5507
Epoch 5507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5508
Epoch 5508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5509
Epoch 5509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5510
Epoch 5510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5511
Epoch 5511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5512
Epoch 5512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5513
Epoch 5513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5514
Epoch 5514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5515
Epoch 5515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5516
Epoch 5516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5517
Epoch 5517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5518
Epoch 5518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5519
Epoch 5519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5520
Epoch 5520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5521
Epoch 5521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5522
Epoch 5522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5523
Epoch 5523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5524
Epoch 5524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5525
Epoch 5525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5526
Epoch 5526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5527
Epoch 5527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5528
Epoch 5528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5529
Epoch 5529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5530
Epoch 5530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5531
Epoch 5531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5532
Epoch 5532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5533
Epoch 5533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5534
Epoch 5534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5535
Epoch 5535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5536
Epoch 5536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5537
Epoch 5537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5538
Epoch 5538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5539
Epoch 5539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5540
Epoch 5540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5541
Epoch 5541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5542
Epoch 5542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5543
Epoch 5543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5544
Epoch 5544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5545
Epoch 5545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5546
Epoch 5546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5547
Epoch 5547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5548
Epoch 5548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5549
Epoch 5549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5550
Epoch 5550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5551
Epoch 5551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5552
Epoch 5552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5553
Epoch 5553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5554
Epoch 5554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5555
Epoch 5555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5556
Epoch 5556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5557
Epoch 5557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5558
Epoch 5558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5559
Epoch 5559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5560
Epoch 5560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5561
Epoch 5561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5562
Epoch 5562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5563
Epoch 5563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5564
Epoch 5564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5565
Epoch 5565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5566
Epoch 5566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5567
Epoch 5567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5568
Epoch 5568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5569
Epoch 5569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5570
Epoch 5570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5571
Epoch 5571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5572
Epoch 5572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5573
Epoch 5573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5574
Epoch 5574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5575
Epoch 5575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5576
Epoch 5576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5577
Epoch 5577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5578
Epoch 5578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5579
Epoch 5579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5580
Epoch 5580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5581
Epoch 5581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5582
Epoch 5582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5583
Epoch 5583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5584
Epoch 5584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5585
Epoch 5585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5586
Epoch 5586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5587
Epoch 5587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5588
Epoch 5588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5589
Epoch 5589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5590
Epoch 5590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5591
Epoch 5591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5592
Epoch 5592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5593
Epoch 5593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5594
Epoch 5594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5595
Epoch 5595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5596
Epoch 5596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5597
Epoch 5597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5598
Epoch 5598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5599
Epoch 5599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5600
Epoch 5600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5601
Epoch 5601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5602
Epoch 5602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5603
Epoch 5603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5604
Epoch 5604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5605
Epoch 5605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5606
Epoch 5606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5607
Epoch 5607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5608
Epoch 5608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5609
Epoch 5609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5610
Epoch 5610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5611
Epoch 5611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5612
Epoch 5612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5613
Epoch 5613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5614
Epoch 5614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5615
Epoch 5615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5616
Epoch 5616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5617
Epoch 5617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5618
Epoch 5618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5619
Epoch 5619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5620
Epoch 5620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5621
Epoch 5621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5622
Epoch 5622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5623
Epoch 5623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5624
Epoch 5624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5625
Epoch 5625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5626
Epoch 5626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5627
Epoch 5627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5628
Epoch 5628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5629
Epoch 5629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5630
Epoch 5630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5631
Epoch 5631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5632
Epoch 5632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5633
Epoch 5633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5634
Epoch 5634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5635
Epoch 5635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5636
Epoch 5636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5637
Epoch 5637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5638
Epoch 5638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5639
Epoch 5639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5640
Epoch 5640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5641
Epoch 5641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5642
Epoch 5642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5643
Epoch 5643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5644
Epoch 5644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5645
Epoch 5645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5646
Epoch 5646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5647
Epoch 5647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5648
Epoch 5648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5649
Epoch 5649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5650
Epoch 5650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5651
Epoch 5651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5652
Epoch 5652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5653
Epoch 5653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5654
Epoch 5654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5655
Epoch 5655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5656
Epoch 5656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5657
Epoch 5657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5658
Epoch 5658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5659
Epoch 5659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5660
Epoch 5660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5661
Epoch 5661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5662
Epoch 5662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5663
Epoch 5663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5664
Epoch 5664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5665
Epoch 5665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5666
Epoch 5666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5667
Epoch 5667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5668
Epoch 5668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5669
Epoch 5669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5670
Epoch 5670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5671
Epoch 5671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5672
Epoch 5672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5673
Epoch 5673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5674
Epoch 5674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5675
Epoch 5675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5676
Epoch 5676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5677
Epoch 5677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5678
Epoch 5678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5679
Epoch 5679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5680
Epoch 5680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5681
Epoch 5681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5682
Epoch 5682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5683
Epoch 5683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5684
Epoch 5684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5685
Epoch 5685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5686
Epoch 5686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5687
Epoch 5687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5688
Epoch 5688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5689
Epoch 5689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5690
Epoch 5690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5691
Epoch 5691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5692
Epoch 5692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5693
Epoch 5693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5694
Epoch 5694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5695
Epoch 5695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5696
Epoch 5696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5697
Epoch 5697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5698
Epoch 5698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5699
Epoch 5699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5700
Epoch 5700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5701
Epoch 5701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5702
Epoch 5702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5703
Epoch 5703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5704
Epoch 5704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5705
Epoch 5705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5706
Epoch 5706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5707
Epoch 5707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5708
Epoch 5708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5709
Epoch 5709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5710
Epoch 5710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5711
Epoch 5711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5712
Epoch 5712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5713
Epoch 5713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5714
Epoch 5714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5715
Epoch 5715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5716
Epoch 5716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5717
Epoch 5717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5718
Epoch 5718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5719
Epoch 5719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5720
Epoch 5720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5721
Epoch 5721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5722
Epoch 5722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5723
Epoch 5723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5724
Epoch 5724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5725
Epoch 5725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5726
Epoch 5726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5727
Epoch 5727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5728
Epoch 5728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5729
Epoch 5729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5730
Epoch 5730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5731
Epoch 5731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5732
Epoch 5732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5733
Epoch 5733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5734
Epoch 5734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5735
Epoch 5735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5736
Epoch 5736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5737
Epoch 5737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5738
Epoch 5738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5739
Epoch 5739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5740
Epoch 5740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5741
Epoch 5741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5742
Epoch 5742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5743
Epoch 5743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5744
Epoch 5744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5745
Epoch 5745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5746
Epoch 5746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5747
Epoch 5747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5748
Epoch 5748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5749
Epoch 5749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5750
Epoch 5750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5751
Epoch 5751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5752
Epoch 5752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5753
Epoch 5753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5754
Epoch 5754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5755
Epoch 5755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5756
Epoch 5756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5757
Epoch 5757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5758
Epoch 5758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5759
Epoch 5759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5760
Epoch 5760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5761
Epoch 5761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5762
Epoch 5762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5763
Epoch 5763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5764
Epoch 5764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5765
Epoch 5765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5766
Epoch 5766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5767
Epoch 5767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5768
Epoch 5768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5769
Epoch 5769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5770
Epoch 5770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5771
Epoch 5771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5772
Epoch 5772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5773
Epoch 5773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5774
Epoch 5774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5775
Epoch 5775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5776
Epoch 5776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5777
Epoch 5777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5778
Epoch 5778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5779
Epoch 5779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5780
Epoch 5780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5781
Epoch 5781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5782
Epoch 5782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5783
Epoch 5783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5784
Epoch 5784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5785
Epoch 5785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5786
Epoch 5786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5787
Epoch 5787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5788
Epoch 5788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5789
Epoch 5789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5790
Epoch 5790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5791
Epoch 5791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5792
Epoch 5792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5793
Epoch 5793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5794
Epoch 5794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5795
Epoch 5795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5796
Epoch 5796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5797
Epoch 5797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5798
Epoch 5798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5799
Epoch 5799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5800
Epoch 5800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5801
Epoch 5801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5802
Epoch 5802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5803
Epoch 5803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5804
Epoch 5804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5805
Epoch 5805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5806
Epoch 5806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5807
Epoch 5807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5808
Epoch 5808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5809
Epoch 5809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5810
Epoch 5810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5811
Epoch 5811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5812
Epoch 5812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5813
Epoch 5813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5814
Epoch 5814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5815
Epoch 5815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5816
Epoch 5816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5817
Epoch 5817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5818
Epoch 5818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5819
Epoch 5819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5820
Epoch 5820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5821
Epoch 5821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5822
Epoch 5822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5823
Epoch 5823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5824
Epoch 5824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5825
Epoch 5825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5826
Epoch 5826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5827
Epoch 5827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5828
Epoch 5828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5829
Epoch 5829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5830
Epoch 5830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5831
Epoch 5831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5832
Epoch 5832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5833
Epoch 5833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5834
Epoch 5834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5835
Epoch 5835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5836
Epoch 5836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5837
Epoch 5837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5838
Epoch 5838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5839
Epoch 5839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5840
Epoch 5840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5841
Epoch 5841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5842
Epoch 5842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5843
Epoch 5843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5844
Epoch 5844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5845
Epoch 5845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5846
Epoch 5846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5847
Epoch 5847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5848
Epoch 5848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5849
Epoch 5849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5850
Epoch 5850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5851
Epoch 5851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5852
Epoch 5852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5853
Epoch 5853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5854
Epoch 5854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5855
Epoch 5855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5856
Epoch 5856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5857
Epoch 5857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5858
Epoch 5858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5859
Epoch 5859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5860
Epoch 5860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5861
Epoch 5861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5862
Epoch 5862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5863
Epoch 5863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5864
Epoch 5864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5865
Epoch 5865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5866
Epoch 5866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5867
Epoch 5867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5868
Epoch 5868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5869
Epoch 5869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5870
Epoch 5870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5871
Epoch 5871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5872
Epoch 5872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5873
Epoch 5873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5874
Epoch 5874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5875
Epoch 5875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5876
Epoch 5876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5877
Epoch 5877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5878
Epoch 5878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5879
Epoch 5879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5880
Epoch 5880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5881
Epoch 5881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5882
Epoch 5882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5883
Epoch 5883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5884
Epoch 5884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5885
Epoch 5885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5886
Epoch 5886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5887
Epoch 5887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5888
Epoch 5888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5889
Epoch 5889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5890
Epoch 5890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5891
Epoch 5891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5892
Epoch 5892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5893
Epoch 5893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5894
Epoch 5894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5895
Epoch 5895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5896
Epoch 5896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5897
Epoch 5897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5898
Epoch 5898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5899
Epoch 5899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5900
Epoch 5900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5901
Epoch 5901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5902
Epoch 5902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5903
Epoch 5903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5904
Epoch 5904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5905
Epoch 5905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5906
Epoch 5906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5907
Epoch 5907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5908
Epoch 5908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5909
Epoch 5909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5910
Epoch 5910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5911
Epoch 5911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5912
Epoch 5912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5913
Epoch 5913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5914
Epoch 5914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5915
Epoch 5915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5916
Epoch 5916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5917
Epoch 5917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5918
Epoch 5918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5919
Epoch 5919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5920
Epoch 5920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5921
Epoch 5921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5922
Epoch 5922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5923
Epoch 5923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5924
Epoch 5924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5925
Epoch 5925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5926
Epoch 5926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5927
Epoch 5927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5928
Epoch 5928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5929
Epoch 5929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5930
Epoch 5930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5931
Epoch 5931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5932
Epoch 5932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5933
Epoch 5933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5934
Epoch 5934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5935
Epoch 5935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5936
Epoch 5936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5937
Epoch 5937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5938
Epoch 5938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5939
Epoch 5939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5940
Epoch 5940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5941
Epoch 5941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5942
Epoch 5942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5943
Epoch 5943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5944
Epoch 5944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5945
Epoch 5945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5946
Epoch 5946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5947
Epoch 5947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5948
Epoch 5948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5949
Epoch 5949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5950
Epoch 5950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5951
Epoch 5951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5952
Epoch 5952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5953
Epoch 5953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5954
Epoch 5954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5955
Epoch 5955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5956
Epoch 5956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5957
Epoch 5957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5958
Epoch 5958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5959
Epoch 5959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5960
Epoch 5960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5961
Epoch 5961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5962
Epoch 5962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5963
Epoch 5963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5964
Epoch 5964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5965
Epoch 5965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5966
Epoch 5966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5967
Epoch 5967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5968
Epoch 5968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5969
Epoch 5969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5970
Epoch 5970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5971
Epoch 5971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5972
Epoch 5972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5973
Epoch 5973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5974
Epoch 5974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5975
Epoch 5975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5976
Epoch 5976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5977
Epoch 5977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5978
Epoch 5978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5979
Epoch 5979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5980
Epoch 5980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5981
Epoch 5981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5982
Epoch 5982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5983
Epoch 5983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5984
Epoch 5984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5985
Epoch 5985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5986
Epoch 5986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5987
Epoch 5987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5988
Epoch 5988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5989
Epoch 5989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5990
Epoch 5990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5991
Epoch 5991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5992
Epoch 5992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5993
Epoch 5993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5994
Epoch 5994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5995
Epoch 5995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5996
Epoch 5996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5997
Epoch 5997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5998
Epoch 5998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 5999
Epoch 5999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6000
Epoch 6000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6001
Epoch 6001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6002
Epoch 6002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6003
Epoch 6003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6004
Epoch 6004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6005
Epoch 6005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6006
Epoch 6006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6007
Epoch 6007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6008
Epoch 6008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6009
Epoch 6009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6010
Epoch 6010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6011
Epoch 6011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6012
Epoch 6012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6013
Epoch 6013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6014
Epoch 6014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6015
Epoch 6015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6016
Epoch 6016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6017
Epoch 6017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6018
Epoch 6018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6019
Epoch 6019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6020
Epoch 6020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6021
Epoch 6021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6022
Epoch 6022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6023
Epoch 6023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6024
Epoch 6024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6025
Epoch 6025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6026
Epoch 6026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6027
Epoch 6027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6028
Epoch 6028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6029
Epoch 6029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6030
Epoch 6030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6031
Epoch 6031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6032
Epoch 6032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6033
Epoch 6033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6034
Epoch 6034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6035
Epoch 6035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6036
Epoch 6036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6037
Epoch 6037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6038
Epoch 6038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6039
Epoch 6039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6040
Epoch 6040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6041
Epoch 6041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6042
Epoch 6042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6043
Epoch 6043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6044
Epoch 6044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6045
Epoch 6045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6046
Epoch 6046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6047
Epoch 6047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6048
Epoch 6048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6049
Epoch 6049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6050
Epoch 6050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6051
Epoch 6051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6052
Epoch 6052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6053
Epoch 6053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6054
Epoch 6054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6055
Epoch 6055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6056
Epoch 6056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6057
Epoch 6057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6058
Epoch 6058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6059
Epoch 6059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6060
Epoch 6060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6061
Epoch 6061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6062
Epoch 6062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6063
Epoch 6063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6064
Epoch 6064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6065
Epoch 6065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6066
Epoch 6066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6067
Epoch 6067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6068
Epoch 6068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6069
Epoch 6069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6070
Epoch 6070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6071
Epoch 6071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6072
Epoch 6072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6073
Epoch 6073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6074
Epoch 6074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6075
Epoch 6075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6076
Epoch 6076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6077
Epoch 6077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6078
Epoch 6078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6079
Epoch 6079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6080
Epoch 6080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6081
Epoch 6081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6082
Epoch 6082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6083
Epoch 6083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6084
Epoch 6084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6085
Epoch 6085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6086
Epoch 6086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6087
Epoch 6087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6088
Epoch 6088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6089
Epoch 6089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6090
Epoch 6090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6091
Epoch 6091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6092
Epoch 6092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6093
Epoch 6093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6094
Epoch 6094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6095
Epoch 6095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6096
Epoch 6096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6097
Epoch 6097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6098
Epoch 6098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6099
Epoch 6099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6100
Epoch 6100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6101
Epoch 6101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6102
Epoch 6102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6103
Epoch 6103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6104
Epoch 6104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6105
Epoch 6105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6106
Epoch 6106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6107
Epoch 6107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6108
Epoch 6108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6109
Epoch 6109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6110
Epoch 6110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6111
Epoch 6111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6112
Epoch 6112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6113
Epoch 6113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6114
Epoch 6114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6115
Epoch 6115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6116
Epoch 6116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6117
Epoch 6117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6118
Epoch 6118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6119
Epoch 6119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6120
Epoch 6120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6121
Epoch 6121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6122
Epoch 6122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6123
Epoch 6123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6124
Epoch 6124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6125
Epoch 6125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6126
Epoch 6126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6127
Epoch 6127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6128
Epoch 6128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6129
Epoch 6129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6130
Epoch 6130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6131
Epoch 6131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6132
Epoch 6132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6133
Epoch 6133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6134
Epoch 6134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6135
Epoch 6135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6136
Epoch 6136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6137
Epoch 6137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6138
Epoch 6138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6139
Epoch 6139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6140
Epoch 6140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6141
Epoch 6141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6142
Epoch 6142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6143
Epoch 6143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6144
Epoch 6144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6145
Epoch 6145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6146
Epoch 6146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6147
Epoch 6147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6148
Epoch 6148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6149
Epoch 6149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6150
Epoch 6150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6151
Epoch 6151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6152
Epoch 6152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6153
Epoch 6153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6154
Epoch 6154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6155
Epoch 6155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6156
Epoch 6156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6157
Epoch 6157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6158
Epoch 6158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6159
Epoch 6159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6160
Epoch 6160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6161
Epoch 6161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6162
Epoch 6162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6163
Epoch 6163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6164
Epoch 6164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6165
Epoch 6165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6166
Epoch 6166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6167
Epoch 6167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6168
Epoch 6168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6169
Epoch 6169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6170
Epoch 6170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6171
Epoch 6171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6172
Epoch 6172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6173
Epoch 6173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6174
Epoch 6174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6175
Epoch 6175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6176
Epoch 6176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6177
Epoch 6177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6178
Epoch 6178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6179
Epoch 6179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6180
Epoch 6180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6181
Epoch 6181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6182
Epoch 6182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6183
Epoch 6183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6184
Epoch 6184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6185
Epoch 6185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6186
Epoch 6186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6187
Epoch 6187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6188
Epoch 6188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6189
Epoch 6189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6190
Epoch 6190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6191
Epoch 6191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6192
Epoch 6192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6193
Epoch 6193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6194
Epoch 6194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6195
Epoch 6195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6196
Epoch 6196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6197
Epoch 6197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6198
Epoch 6198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6199
Epoch 6199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6200
Epoch 6200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6201
Epoch 6201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6202
Epoch 6202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6203
Epoch 6203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6204
Epoch 6204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6205
Epoch 6205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6206
Epoch 6206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6207
Epoch 6207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6208
Epoch 6208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6209
Epoch 6209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6210
Epoch 6210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6211
Epoch 6211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6212
Epoch 6212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6213
Epoch 6213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6214
Epoch 6214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6215
Epoch 6215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6216
Epoch 6216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6217
Epoch 6217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6218
Epoch 6218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6219
Epoch 6219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6220
Epoch 6220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6221
Epoch 6221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6222
Epoch 6222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6223
Epoch 6223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6224
Epoch 6224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6225
Epoch 6225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6226
Epoch 6226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6227
Epoch 6227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6228
Epoch 6228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6229
Epoch 6229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6230
Epoch 6230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6231
Epoch 6231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6232
Epoch 6232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6233
Epoch 6233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6234
Epoch 6234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6235
Epoch 6235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6236
Epoch 6236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6237
Epoch 6237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6238
Epoch 6238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6239
Epoch 6239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6240
Epoch 6240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6241
Epoch 6241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6242
Epoch 6242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6243
Epoch 6243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6244
Epoch 6244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6245
Epoch 6245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6246
Epoch 6246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6247
Epoch 6247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6248
Epoch 6248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6249
Epoch 6249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6250
Epoch 6250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6251
Epoch 6251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6252
Epoch 6252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6253
Epoch 6253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6254
Epoch 6254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6255
Epoch 6255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6256
Epoch 6256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6257
Epoch 6257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6258
Epoch 6258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6259
Epoch 6259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6260
Epoch 6260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6261
Epoch 6261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6262
Epoch 6262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6263
Epoch 6263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6264
Epoch 6264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6265
Epoch 6265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6266
Epoch 6266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6267
Epoch 6267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6268
Epoch 6268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6269
Epoch 6269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6270
Epoch 6270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6271
Epoch 6271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6272
Epoch 6272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6273
Epoch 6273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6274
Epoch 6274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6275
Epoch 6275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6276
Epoch 6276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6277
Epoch 6277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6278
Epoch 6278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6279
Epoch 6279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6280
Epoch 6280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6281
Epoch 6281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6282
Epoch 6282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6283
Epoch 6283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6284
Epoch 6284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6285
Epoch 6285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6286
Epoch 6286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6287
Epoch 6287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6288
Epoch 6288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6289
Epoch 6289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6290
Epoch 6290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6291
Epoch 6291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6292
Epoch 6292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6293
Epoch 6293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6294
Epoch 6294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6295
Epoch 6295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6296
Epoch 6296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6297
Epoch 6297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6298
Epoch 6298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6299
Epoch 6299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6300
Epoch 6300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6301
Epoch 6301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6302
Epoch 6302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6303
Epoch 6303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6304
Epoch 6304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6305
Epoch 6305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6306
Epoch 6306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6307
Epoch 6307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6308
Epoch 6308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6309
Epoch 6309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6310
Epoch 6310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6311
Epoch 6311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6312
Epoch 6312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6313
Epoch 6313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6314
Epoch 6314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6315
Epoch 6315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6316
Epoch 6316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6317
Epoch 6317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6318
Epoch 6318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6319
Epoch 6319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6320
Epoch 6320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6321
Epoch 6321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6322
Epoch 6322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6323
Epoch 6323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6324
Epoch 6324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6325
Epoch 6325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6326
Epoch 6326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6327
Epoch 6327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6328
Epoch 6328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6329
Epoch 6329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6330
Epoch 6330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6331
Epoch 6331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6332
Epoch 6332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6333
Epoch 6333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6334
Epoch 6334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6335
Epoch 6335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6336
Epoch 6336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6337
Epoch 6337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6338
Epoch 6338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6339
Epoch 6339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6340
Epoch 6340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6341
Epoch 6341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6342
Epoch 6342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6343
Epoch 6343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6344
Epoch 6344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6345
Epoch 6345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6346
Epoch 6346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6347
Epoch 6347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6348
Epoch 6348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6349
Epoch 6349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6350
Epoch 6350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6351
Epoch 6351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6352
Epoch 6352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6353
Epoch 6353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6354
Epoch 6354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6355
Epoch 6355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6356
Epoch 6356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6357
Epoch 6357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6358
Epoch 6358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6359
Epoch 6359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6360
Epoch 6360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6361
Epoch 6361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6362
Epoch 6362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6363
Epoch 6363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6364
Epoch 6364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6365
Epoch 6365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6366
Epoch 6366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6367
Epoch 6367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6368
Epoch 6368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6369
Epoch 6369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6370
Epoch 6370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6371
Epoch 6371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6372
Epoch 6372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6373
Epoch 6373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6374
Epoch 6374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6375
Epoch 6375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6376
Epoch 6376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6377
Epoch 6377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6378
Epoch 6378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6379
Epoch 6379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6380
Epoch 6380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6381
Epoch 6381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6382
Epoch 6382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6383
Epoch 6383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6384
Epoch 6384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6385
Epoch 6385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6386
Epoch 6386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6387
Epoch 6387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6388
Epoch 6388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6389
Epoch 6389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6390
Epoch 6390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6391
Epoch 6391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6392
Epoch 6392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6393
Epoch 6393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6394
Epoch 6394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6395
Epoch 6395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6396
Epoch 6396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6397
Epoch 6397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6398
Epoch 6398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6399
Epoch 6399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6400
Epoch 6400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6401
Epoch 6401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6402
Epoch 6402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6403
Epoch 6403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6404
Epoch 6404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6405
Epoch 6405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6406
Epoch 6406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6407
Epoch 6407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6408
Epoch 6408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6409
Epoch 6409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6410
Epoch 6410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6411
Epoch 6411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6412
Epoch 6412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6413
Epoch 6413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6414
Epoch 6414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6415
Epoch 6415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6416
Epoch 6416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6417
Epoch 6417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6418
Epoch 6418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6419
Epoch 6419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6420
Epoch 6420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6421
Epoch 6421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6422
Epoch 6422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6423
Epoch 6423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6424
Epoch 6424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6425
Epoch 6425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6426
Epoch 6426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6427
Epoch 6427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6428
Epoch 6428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6429
Epoch 6429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6430
Epoch 6430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6431
Epoch 6431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6432
Epoch 6432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6433
Epoch 6433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6434
Epoch 6434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6435
Epoch 6435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6436
Epoch 6436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6437
Epoch 6437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6438
Epoch 6438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6439
Epoch 6439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6440
Epoch 6440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6441
Epoch 6441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6442
Epoch 6442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6443
Epoch 6443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6444
Epoch 6444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6445
Epoch 6445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6446
Epoch 6446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6447
Epoch 6447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6448
Epoch 6448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6449
Epoch 6449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6450
Epoch 6450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6451
Epoch 6451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6452
Epoch 6452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6453
Epoch 6453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6454
Epoch 6454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6455
Epoch 6455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6456
Epoch 6456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6457
Epoch 6457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6458
Epoch 6458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6459
Epoch 6459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6460
Epoch 6460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6461
Epoch 6461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6462
Epoch 6462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6463
Epoch 6463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6464
Epoch 6464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6465
Epoch 6465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6466
Epoch 6466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6467
Epoch 6467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6468
Epoch 6468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6469
Epoch 6469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6470
Epoch 6470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6471
Epoch 6471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6472
Epoch 6472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6473
Epoch 6473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6474
Epoch 6474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6475
Epoch 6475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6476
Epoch 6476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6477
Epoch 6477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6478
Epoch 6478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6479
Epoch 6479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6480
Epoch 6480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6481
Epoch 6481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6482
Epoch 6482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6483
Epoch 6483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6484
Epoch 6484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6485
Epoch 6485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6486
Epoch 6486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6487
Epoch 6487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6488
Epoch 6488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6489
Epoch 6489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6490
Epoch 6490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6491
Epoch 6491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6492
Epoch 6492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6493
Epoch 6493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6494
Epoch 6494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6495
Epoch 6495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6496
Epoch 6496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6497
Epoch 6497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6498
Epoch 6498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6499
Epoch 6499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6500
Epoch 6500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6501
Epoch 6501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6502
Epoch 6502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6503
Epoch 6503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6504
Epoch 6504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6505
Epoch 6505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6506
Epoch 6506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6507
Epoch 6507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6508
Epoch 6508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6509
Epoch 6509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6510
Epoch 6510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6511
Epoch 6511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6512
Epoch 6512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6513
Epoch 6513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6514
Epoch 6514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6515
Epoch 6515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6516
Epoch 6516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6517
Epoch 6517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6518
Epoch 6518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6519
Epoch 6519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6520
Epoch 6520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6521
Epoch 6521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6522
Epoch 6522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6523
Epoch 6523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6524
Epoch 6524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6525
Epoch 6525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6526
Epoch 6526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6527
Epoch 6527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6528
Epoch 6528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6529
Epoch 6529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6530
Epoch 6530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6531
Epoch 6531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6532
Epoch 6532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6533
Epoch 6533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6534
Epoch 6534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6535
Epoch 6535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6536
Epoch 6536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6537
Epoch 6537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6538
Epoch 6538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6539
Epoch 6539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6540
Epoch 6540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6541
Epoch 6541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6542
Epoch 6542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6543
Epoch 6543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6544
Epoch 6544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6545
Epoch 6545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6546
Epoch 6546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6547
Epoch 6547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6548
Epoch 6548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6549
Epoch 6549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6550
Epoch 6550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6551
Epoch 6551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6552
Epoch 6552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6553
Epoch 6553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6554
Epoch 6554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6555
Epoch 6555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6556
Epoch 6556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6557
Epoch 6557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6558
Epoch 6558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6559
Epoch 6559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6560
Epoch 6560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6561
Epoch 6561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6562
Epoch 6562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6563
Epoch 6563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6564
Epoch 6564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6565
Epoch 6565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6566
Epoch 6566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6567
Epoch 6567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6568
Epoch 6568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6569
Epoch 6569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6570
Epoch 6570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6571
Epoch 6571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6572
Epoch 6572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6573
Epoch 6573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6574
Epoch 6574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6575
Epoch 6575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6576
Epoch 6576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6577
Epoch 6577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6578
Epoch 6578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6579
Epoch 6579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6580
Epoch 6580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6581
Epoch 6581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6582
Epoch 6582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6583
Epoch 6583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6584
Epoch 6584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6585
Epoch 6585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6586
Epoch 6586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6587
Epoch 6587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6588
Epoch 6588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6589
Epoch 6589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6590
Epoch 6590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6591
Epoch 6591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6592
Epoch 6592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6593
Epoch 6593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6594
Epoch 6594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6595
Epoch 6595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6596
Epoch 6596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6597
Epoch 6597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6598
Epoch 6598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6599
Epoch 6599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6600
Epoch 6600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6601
Epoch 6601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6602
Epoch 6602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6603
Epoch 6603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6604
Epoch 6604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6605
Epoch 6605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6606
Epoch 6606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6607
Epoch 6607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6608
Epoch 6608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6609
Epoch 6609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6610
Epoch 6610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6611
Epoch 6611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6612
Epoch 6612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6613
Epoch 6613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6614
Epoch 6614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6615
Epoch 6615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6616
Epoch 6616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6617
Epoch 6617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6618
Epoch 6618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6619
Epoch 6619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6620
Epoch 6620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6621
Epoch 6621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6622
Epoch 6622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6623
Epoch 6623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6624
Epoch 6624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6625
Epoch 6625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6626
Epoch 6626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6627
Epoch 6627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6628
Epoch 6628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6629
Epoch 6629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6630
Epoch 6630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6631
Epoch 6631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6632
Epoch 6632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6633
Epoch 6633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6634
Epoch 6634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6635
Epoch 6635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6636
Epoch 6636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6637
Epoch 6637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6638
Epoch 6638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6639
Epoch 6639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6640
Epoch 6640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6641
Epoch 6641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6642
Epoch 6642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6643
Epoch 6643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6644
Epoch 6644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6645
Epoch 6645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6646
Epoch 6646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6647
Epoch 6647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6648
Epoch 6648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6649
Epoch 6649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6650
Epoch 6650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6651
Epoch 6651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6652
Epoch 6652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6653
Epoch 6653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6654
Epoch 6654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6655
Epoch 6655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6656
Epoch 6656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6657
Epoch 6657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6658
Epoch 6658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6659
Epoch 6659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6660
Epoch 6660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6661
Epoch 6661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6662
Epoch 6662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6663
Epoch 6663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6664
Epoch 6664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6665
Epoch 6665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6666
Epoch 6666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6667
Epoch 6667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6668
Epoch 6668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6669
Epoch 6669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6670
Epoch 6670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6671
Epoch 6671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6672
Epoch 6672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6673
Epoch 6673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6674
Epoch 6674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6675
Epoch 6675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6676
Epoch 6676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6677
Epoch 6677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6678
Epoch 6678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6679
Epoch 6679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6680
Epoch 6680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6681
Epoch 6681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6682
Epoch 6682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6683
Epoch 6683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6684
Epoch 6684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6685
Epoch 6685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6686
Epoch 6686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6687
Epoch 6687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6688
Epoch 6688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6689
Epoch 6689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6690
Epoch 6690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6691
Epoch 6691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6692
Epoch 6692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6693
Epoch 6693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6694
Epoch 6694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6695
Epoch 6695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6696
Epoch 6696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6697
Epoch 6697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6698
Epoch 6698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6699
Epoch 6699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6700
Epoch 6700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6701
Epoch 6701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6702
Epoch 6702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6703
Epoch 6703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6704
Epoch 6704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6705
Epoch 6705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6706
Epoch 6706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6707
Epoch 6707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6708
Epoch 6708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6709
Epoch 6709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6710
Epoch 6710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6711
Epoch 6711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6712
Epoch 6712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6713
Epoch 6713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6714
Epoch 6714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6715
Epoch 6715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6716
Epoch 6716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6717
Epoch 6717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6718
Epoch 6718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6719
Epoch 6719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6720
Epoch 6720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6721
Epoch 6721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6722
Epoch 6722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6723
Epoch 6723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6724
Epoch 6724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6725
Epoch 6725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6726
Epoch 6726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6727
Epoch 6727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6728
Epoch 6728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6729
Epoch 6729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6730
Epoch 6730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6731
Epoch 6731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6732
Epoch 6732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6733
Epoch 6733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6734
Epoch 6734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6735
Epoch 6735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6736
Epoch 6736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6737
Epoch 6737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6738
Epoch 6738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6739
Epoch 6739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6740
Epoch 6740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6741
Epoch 6741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6742
Epoch 6742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6743
Epoch 6743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6744
Epoch 6744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6745
Epoch 6745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6746
Epoch 6746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6747
Epoch 6747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6748
Epoch 6748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6749
Epoch 6749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6750
Epoch 6750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6751
Epoch 6751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6752
Epoch 6752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6753
Epoch 6753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6754
Epoch 6754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6755
Epoch 6755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6756
Epoch 6756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6757
Epoch 6757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6758
Epoch 6758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6759
Epoch 6759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6760
Epoch 6760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6761
Epoch 6761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6762
Epoch 6762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6763
Epoch 6763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6764
Epoch 6764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6765
Epoch 6765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6766
Epoch 6766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6767
Epoch 6767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6768
Epoch 6768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6769
Epoch 6769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6770
Epoch 6770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6771
Epoch 6771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6772
Epoch 6772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6773
Epoch 6773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6774
Epoch 6774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6775
Epoch 6775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6776
Epoch 6776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6777
Epoch 6777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6778
Epoch 6778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6779
Epoch 6779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6780
Epoch 6780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6781
Epoch 6781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6782
Epoch 6782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6783
Epoch 6783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6784
Epoch 6784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6785
Epoch 6785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6786
Epoch 6786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6787
Epoch 6787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6788
Epoch 6788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6789
Epoch 6789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6790
Epoch 6790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6791
Epoch 6791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6792
Epoch 6792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6793
Epoch 6793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6794
Epoch 6794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6795
Epoch 6795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6796
Epoch 6796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6797
Epoch 6797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6798
Epoch 6798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6799
Epoch 6799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6800
Epoch 6800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6801
Epoch 6801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6802
Epoch 6802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6803
Epoch 6803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6804
Epoch 6804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6805
Epoch 6805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6806
Epoch 6806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6807
Epoch 6807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6808
Epoch 6808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6809
Epoch 6809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6810
Epoch 6810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6811
Epoch 6811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6812
Epoch 6812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6813
Epoch 6813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6814
Epoch 6814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6815
Epoch 6815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6816
Epoch 6816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6817
Epoch 6817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6818
Epoch 6818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6819
Epoch 6819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6820
Epoch 6820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6821
Epoch 6821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6822
Epoch 6822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6823
Epoch 6823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6824
Epoch 6824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6825
Epoch 6825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6826
Epoch 6826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6827
Epoch 6827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6828
Epoch 6828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6829
Epoch 6829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6830
Epoch 6830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6831
Epoch 6831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6832
Epoch 6832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6833
Epoch 6833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6834
Epoch 6834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6835
Epoch 6835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6836
Epoch 6836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6837
Epoch 6837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6838
Epoch 6838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6839
Epoch 6839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6840
Epoch 6840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6841
Epoch 6841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6842
Epoch 6842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6843
Epoch 6843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6844
Epoch 6844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6845
Epoch 6845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6846
Epoch 6846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6847
Epoch 6847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6848
Epoch 6848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6849
Epoch 6849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6850
Epoch 6850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6851
Epoch 6851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6852
Epoch 6852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6853
Epoch 6853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6854
Epoch 6854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6855
Epoch 6855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6856
Epoch 6856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6857
Epoch 6857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6858
Epoch 6858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6859
Epoch 6859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6860
Epoch 6860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6861
Epoch 6861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6862
Epoch 6862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6863
Epoch 6863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6864
Epoch 6864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6865
Epoch 6865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6866
Epoch 6866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6867
Epoch 6867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6868
Epoch 6868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6869
Epoch 6869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6870
Epoch 6870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6871
Epoch 6871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6872
Epoch 6872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6873
Epoch 6873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6874
Epoch 6874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6875
Epoch 6875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6876
Epoch 6876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6877
Epoch 6877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6878
Epoch 6878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6879
Epoch 6879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6880
Epoch 6880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6881
Epoch 6881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6882
Epoch 6882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6883
Epoch 6883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6884
Epoch 6884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6885
Epoch 6885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6886
Epoch 6886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6887
Epoch 6887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6888
Epoch 6888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6889
Epoch 6889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6890
Epoch 6890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6891
Epoch 6891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6892
Epoch 6892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6893
Epoch 6893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6894
Epoch 6894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6895
Epoch 6895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6896
Epoch 6896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6897
Epoch 6897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6898
Epoch 6898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6899
Epoch 6899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6900
Epoch 6900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6901
Epoch 6901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6902
Epoch 6902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6903
Epoch 6903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6904
Epoch 6904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6905
Epoch 6905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6906
Epoch 6906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6907
Epoch 6907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6908
Epoch 6908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6909
Epoch 6909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6910
Epoch 6910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6911
Epoch 6911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6912
Epoch 6912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6913
Epoch 6913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6914
Epoch 6914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6915
Epoch 6915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6916
Epoch 6916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6917
Epoch 6917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6918
Epoch 6918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6919
Epoch 6919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6920
Epoch 6920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6921
Epoch 6921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6922
Epoch 6922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6923
Epoch 6923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6924
Epoch 6924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6925
Epoch 6925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6926
Epoch 6926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6927
Epoch 6927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6928
Epoch 6928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6929
Epoch 6929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6930
Epoch 6930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6931
Epoch 6931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6932
Epoch 6932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6933
Epoch 6933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6934
Epoch 6934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6935
Epoch 6935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6936
Epoch 6936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6937
Epoch 6937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6938
Epoch 6938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6939
Epoch 6939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6940
Epoch 6940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6941
Epoch 6941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6942
Epoch 6942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6943
Epoch 6943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6944
Epoch 6944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6945
Epoch 6945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6946
Epoch 6946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6947
Epoch 6947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6948
Epoch 6948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6949
Epoch 6949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6950
Epoch 6950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6951
Epoch 6951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6952
Epoch 6952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6953
Epoch 6953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6954
Epoch 6954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6955
Epoch 6955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6956
Epoch 6956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6957
Epoch 6957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6958
Epoch 6958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6959
Epoch 6959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6960
Epoch 6960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6961
Epoch 6961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6962
Epoch 6962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6963
Epoch 6963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6964
Epoch 6964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6965
Epoch 6965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6966
Epoch 6966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6967
Epoch 6967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6968
Epoch 6968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6969
Epoch 6969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6970
Epoch 6970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6971
Epoch 6971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6972
Epoch 6972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6973
Epoch 6973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6974
Epoch 6974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6975
Epoch 6975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6976
Epoch 6976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6977
Epoch 6977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6978
Epoch 6978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6979
Epoch 6979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6980
Epoch 6980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6981
Epoch 6981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6982
Epoch 6982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6983
Epoch 6983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6984
Epoch 6984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6985
Epoch 6985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6986
Epoch 6986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6987
Epoch 6987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6988
Epoch 6988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6989
Epoch 6989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6990
Epoch 6990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6991
Epoch 6991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6992
Epoch 6992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6993
Epoch 6993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6994
Epoch 6994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6995
Epoch 6995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6996
Epoch 6996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6997
Epoch 6997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6998
Epoch 6998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 6999
Epoch 6999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7000
Epoch 7000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7001
Epoch 7001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7002
Epoch 7002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7003
Epoch 7003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7004
Epoch 7004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7005
Epoch 7005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7006
Epoch 7006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7007
Epoch 7007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7008
Epoch 7008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7009
Epoch 7009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7010
Epoch 7010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7011
Epoch 7011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7012
Epoch 7012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7013
Epoch 7013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7014
Epoch 7014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7015
Epoch 7015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7016
Epoch 7016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7017
Epoch 7017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7018
Epoch 7018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7019
Epoch 7019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7020
Epoch 7020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7021
Epoch 7021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7022
Epoch 7022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7023
Epoch 7023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7024
Epoch 7024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7025
Epoch 7025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7026
Epoch 7026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7027
Epoch 7027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7028
Epoch 7028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7029
Epoch 7029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7030
Epoch 7030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7031
Epoch 7031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7032
Epoch 7032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7033
Epoch 7033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7034
Epoch 7034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7035
Epoch 7035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7036
Epoch 7036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7037
Epoch 7037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7038
Epoch 7038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7039
Epoch 7039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7040
Epoch 7040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7041
Epoch 7041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7042
Epoch 7042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7043
Epoch 7043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7044
Epoch 7044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7045
Epoch 7045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7046
Epoch 7046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7047
Epoch 7047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7048
Epoch 7048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7049
Epoch 7049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7050
Epoch 7050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7051
Epoch 7051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7052
Epoch 7052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7053
Epoch 7053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7054
Epoch 7054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7055
Epoch 7055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7056
Epoch 7056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7057
Epoch 7057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7058
Epoch 7058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7059
Epoch 7059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7060
Epoch 7060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7061
Epoch 7061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7062
Epoch 7062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7063
Epoch 7063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7064
Epoch 7064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7065
Epoch 7065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7066
Epoch 7066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7067
Epoch 7067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7068
Epoch 7068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7069
Epoch 7069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7070
Epoch 7070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7071
Epoch 7071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7072
Epoch 7072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7073
Epoch 7073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7074
Epoch 7074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7075
Epoch 7075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7076
Epoch 7076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7077
Epoch 7077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7078
Epoch 7078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7079
Epoch 7079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7080
Epoch 7080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7081
Epoch 7081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7082
Epoch 7082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7083
Epoch 7083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7084
Epoch 7084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7085
Epoch 7085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7086
Epoch 7086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7087
Epoch 7087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7088
Epoch 7088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7089
Epoch 7089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7090
Epoch 7090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7091
Epoch 7091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7092
Epoch 7092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7093
Epoch 7093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7094
Epoch 7094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7095
Epoch 7095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7096
Epoch 7096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7097
Epoch 7097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7098
Epoch 7098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7099
Epoch 7099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7100
Epoch 7100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7101
Epoch 7101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7102
Epoch 7102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7103
Epoch 7103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7104
Epoch 7104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7105
Epoch 7105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7106
Epoch 7106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7107
Epoch 7107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7108
Epoch 7108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7109
Epoch 7109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7110
Epoch 7110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7111
Epoch 7111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7112
Epoch 7112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7113
Epoch 7113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7114
Epoch 7114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7115
Epoch 7115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7116
Epoch 7116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7117
Epoch 7117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7118
Epoch 7118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7119
Epoch 7119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7120
Epoch 7120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7121
Epoch 7121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7122
Epoch 7122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7123
Epoch 7123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7124
Epoch 7124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7125
Epoch 7125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7126
Epoch 7126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7127
Epoch 7127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7128
Epoch 7128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7129
Epoch 7129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7130
Epoch 7130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7131
Epoch 7131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7132
Epoch 7132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7133
Epoch 7133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7134
Epoch 7134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7135
Epoch 7135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7136
Epoch 7136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7137
Epoch 7137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7138
Epoch 7138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7139
Epoch 7139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7140
Epoch 7140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7141
Epoch 7141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7142
Epoch 7142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7143
Epoch 7143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7144
Epoch 7144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7145
Epoch 7145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7146
Epoch 7146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7147
Epoch 7147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7148
Epoch 7148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7149
Epoch 7149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7150
Epoch 7150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7151
Epoch 7151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7152
Epoch 7152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7153
Epoch 7153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7154
Epoch 7154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7155
Epoch 7155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7156
Epoch 7156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7157
Epoch 7157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7158
Epoch 7158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7159
Epoch 7159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7160
Epoch 7160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7161
Epoch 7161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7162
Epoch 7162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7163
Epoch 7163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7164
Epoch 7164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7165
Epoch 7165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7166
Epoch 7166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7167
Epoch 7167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7168
Epoch 7168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7169
Epoch 7169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7170
Epoch 7170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7171
Epoch 7171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7172
Epoch 7172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7173
Epoch 7173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7174
Epoch 7174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7175
Epoch 7175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7176
Epoch 7176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7177
Epoch 7177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7178
Epoch 7178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7179
Epoch 7179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7180
Epoch 7180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7181
Epoch 7181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7182
Epoch 7182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7183
Epoch 7183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7184
Epoch 7184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7185
Epoch 7185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7186
Epoch 7186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7187
Epoch 7187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7188
Epoch 7188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7189
Epoch 7189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7190
Epoch 7190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7191
Epoch 7191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7192
Epoch 7192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7193
Epoch 7193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7194
Epoch 7194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7195
Epoch 7195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7196
Epoch 7196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7197
Epoch 7197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7198
Epoch 7198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7199
Epoch 7199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7200
Epoch 7200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7201
Epoch 7201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7202
Epoch 7202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7203
Epoch 7203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7204
Epoch 7204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7205
Epoch 7205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7206
Epoch 7206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7207
Epoch 7207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7208
Epoch 7208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7209
Epoch 7209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7210
Epoch 7210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7211
Epoch 7211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7212
Epoch 7212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7213
Epoch 7213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7214
Epoch 7214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7215
Epoch 7215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7216
Epoch 7216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7217
Epoch 7217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7218
Epoch 7218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7219
Epoch 7219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7220
Epoch 7220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7221
Epoch 7221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7222
Epoch 7222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7223
Epoch 7223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7224
Epoch 7224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7225
Epoch 7225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7226
Epoch 7226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7227
Epoch 7227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7228
Epoch 7228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7229
Epoch 7229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7230
Epoch 7230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7231
Epoch 7231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7232
Epoch 7232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7233
Epoch 7233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7234
Epoch 7234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7235
Epoch 7235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7236
Epoch 7236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7237
Epoch 7237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7238
Epoch 7238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7239
Epoch 7239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7240
Epoch 7240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7241
Epoch 7241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7242
Epoch 7242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7243
Epoch 7243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7244
Epoch 7244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7245
Epoch 7245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7246
Epoch 7246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7247
Epoch 7247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7248
Epoch 7248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7249
Epoch 7249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7250
Epoch 7250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7251
Epoch 7251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7252
Epoch 7252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7253
Epoch 7253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7254
Epoch 7254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7255
Epoch 7255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7256
Epoch 7256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7257
Epoch 7257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7258
Epoch 7258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7259
Epoch 7259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7260
Epoch 7260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7261
Epoch 7261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7262
Epoch 7262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7263
Epoch 7263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7264
Epoch 7264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7265
Epoch 7265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7266
Epoch 7266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7267
Epoch 7267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7268
Epoch 7268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7269
Epoch 7269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7270
Epoch 7270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7271
Epoch 7271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7272
Epoch 7272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7273
Epoch 7273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7274
Epoch 7274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7275
Epoch 7275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7276
Epoch 7276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7277
Epoch 7277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7278
Epoch 7278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7279
Epoch 7279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7280
Epoch 7280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7281
Epoch 7281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7282
Epoch 7282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7283
Epoch 7283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7284
Epoch 7284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7285
Epoch 7285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7286
Epoch 7286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7287
Epoch 7287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7288
Epoch 7288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7289
Epoch 7289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7290
Epoch 7290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7291
Epoch 7291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7292
Epoch 7292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7293
Epoch 7293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7294
Epoch 7294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7295
Epoch 7295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7296
Epoch 7296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7297
Epoch 7297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7298
Epoch 7298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7299
Epoch 7299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7300
Epoch 7300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7301
Epoch 7301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7302
Epoch 7302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7303
Epoch 7303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7304
Epoch 7304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7305
Epoch 7305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7306
Epoch 7306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7307
Epoch 7307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7308
Epoch 7308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7309
Epoch 7309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7310
Epoch 7310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7311
Epoch 7311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7312
Epoch 7312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7313
Epoch 7313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7314
Epoch 7314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7315
Epoch 7315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7316
Epoch 7316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7317
Epoch 7317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7318
Epoch 7318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7319
Epoch 7319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7320
Epoch 7320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7321
Epoch 7321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7322
Epoch 7322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7323
Epoch 7323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7324
Epoch 7324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7325
Epoch 7325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7326
Epoch 7326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7327
Epoch 7327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7328
Epoch 7328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7329
Epoch 7329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7330
Epoch 7330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7331
Epoch 7331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7332
Epoch 7332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7333
Epoch 7333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7334
Epoch 7334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7335
Epoch 7335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7336
Epoch 7336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7337
Epoch 7337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7338
Epoch 7338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7339
Epoch 7339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7340
Epoch 7340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7341
Epoch 7341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7342
Epoch 7342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7343
Epoch 7343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7344
Epoch 7344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7345
Epoch 7345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7346
Epoch 7346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7347
Epoch 7347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7348
Epoch 7348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7349
Epoch 7349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7350
Epoch 7350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7351
Epoch 7351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7352
Epoch 7352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7353
Epoch 7353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7354
Epoch 7354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7355
Epoch 7355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7356
Epoch 7356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7357
Epoch 7357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7358
Epoch 7358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7359
Epoch 7359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7360
Epoch 7360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7361
Epoch 7361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7362
Epoch 7362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7363
Epoch 7363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7364
Epoch 7364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7365
Epoch 7365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7366
Epoch 7366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7367
Epoch 7367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7368
Epoch 7368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7369
Epoch 7369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7370
Epoch 7370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7371
Epoch 7371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7372
Epoch 7372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7373
Epoch 7373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7374
Epoch 7374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7375
Epoch 7375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7376
Epoch 7376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7377
Epoch 7377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7378
Epoch 7378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7379
Epoch 7379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7380
Epoch 7380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7381
Epoch 7381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7382
Epoch 7382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7383
Epoch 7383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7384
Epoch 7384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7385
Epoch 7385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7386
Epoch 7386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7387
Epoch 7387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7388
Epoch 7388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7389
Epoch 7389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7390
Epoch 7390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7391
Epoch 7391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7392
Epoch 7392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7393
Epoch 7393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7394
Epoch 7394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7395
Epoch 7395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7396
Epoch 7396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7397
Epoch 7397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7398
Epoch 7398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7399
Epoch 7399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7400
Epoch 7400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7401
Epoch 7401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7402
Epoch 7402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7403
Epoch 7403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7404
Epoch 7404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7405
Epoch 7405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7406
Epoch 7406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7407
Epoch 7407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7408
Epoch 7408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7409
Epoch 7409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7410
Epoch 7410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7411
Epoch 7411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7412
Epoch 7412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7413
Epoch 7413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7414
Epoch 7414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7415
Epoch 7415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7416
Epoch 7416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7417
Epoch 7417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7418
Epoch 7418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7419
Epoch 7419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7420
Epoch 7420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7421
Epoch 7421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7422
Epoch 7422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7423
Epoch 7423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7424
Epoch 7424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7425
Epoch 7425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7426
Epoch 7426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7427
Epoch 7427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7428
Epoch 7428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7429
Epoch 7429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7430
Epoch 7430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7431
Epoch 7431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7432
Epoch 7432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7433
Epoch 7433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7434
Epoch 7434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7435
Epoch 7435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7436
Epoch 7436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7437
Epoch 7437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7438
Epoch 7438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7439
Epoch 7439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7440
Epoch 7440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7441
Epoch 7441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7442
Epoch 7442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7443
Epoch 7443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7444
Epoch 7444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7445
Epoch 7445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7446
Epoch 7446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7447
Epoch 7447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7448
Epoch 7448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7449
Epoch 7449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7450
Epoch 7450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7451
Epoch 7451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7452
Epoch 7452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7453
Epoch 7453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7454
Epoch 7454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7455
Epoch 7455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7456
Epoch 7456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7457
Epoch 7457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7458
Epoch 7458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7459
Epoch 7459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7460
Epoch 7460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7461
Epoch 7461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7462
Epoch 7462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7463
Epoch 7463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7464
Epoch 7464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7465
Epoch 7465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7466
Epoch 7466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7467
Epoch 7467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7468
Epoch 7468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7469
Epoch 7469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7470
Epoch 7470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7471
Epoch 7471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7472
Epoch 7472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7473
Epoch 7473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7474
Epoch 7474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7475
Epoch 7475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7476
Epoch 7476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7477
Epoch 7477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7478
Epoch 7478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7479
Epoch 7479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7480
Epoch 7480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7481
Epoch 7481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7482
Epoch 7482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7483
Epoch 7483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7484
Epoch 7484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7485
Epoch 7485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7486
Epoch 7486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7487
Epoch 7487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7488
Epoch 7488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7489
Epoch 7489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7490
Epoch 7490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7491
Epoch 7491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7492
Epoch 7492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7493
Epoch 7493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7494
Epoch 7494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7495
Epoch 7495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7496
Epoch 7496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7497
Epoch 7497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7498
Epoch 7498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7499
Epoch 7499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7500
Epoch 7500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7501
Epoch 7501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7502
Epoch 7502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7503
Epoch 7503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7504
Epoch 7504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7505
Epoch 7505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7506
Epoch 7506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7507
Epoch 7507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7508
Epoch 7508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7509
Epoch 7509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7510
Epoch 7510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7511
Epoch 7511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7512
Epoch 7512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7513
Epoch 7513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7514
Epoch 7514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7515
Epoch 7515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7516
Epoch 7516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7517
Epoch 7517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7518
Epoch 7518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7519
Epoch 7519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7520
Epoch 7520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7521
Epoch 7521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7522
Epoch 7522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7523
Epoch 7523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7524
Epoch 7524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7525
Epoch 7525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7526
Epoch 7526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7527
Epoch 7527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7528
Epoch 7528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7529
Epoch 7529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7530
Epoch 7530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7531
Epoch 7531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7532
Epoch 7532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7533
Epoch 7533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7534
Epoch 7534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7535
Epoch 7535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7536
Epoch 7536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7537
Epoch 7537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7538
Epoch 7538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7539
Epoch 7539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7540
Epoch 7540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7541
Epoch 7541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7542
Epoch 7542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7543
Epoch 7543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7544
Epoch 7544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7545
Epoch 7545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7546
Epoch 7546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7547
Epoch 7547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7548
Epoch 7548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7549
Epoch 7549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7550
Epoch 7550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7551
Epoch 7551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7552
Epoch 7552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7553
Epoch 7553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7554
Epoch 7554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7555
Epoch 7555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7556
Epoch 7556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7557
Epoch 7557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7558
Epoch 7558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7559
Epoch 7559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7560
Epoch 7560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7561
Epoch 7561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7562
Epoch 7562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7563
Epoch 7563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7564
Epoch 7564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7565
Epoch 7565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7566
Epoch 7566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7567
Epoch 7567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7568
Epoch 7568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7569
Epoch 7569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7570
Epoch 7570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7571
Epoch 7571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7572
Epoch 7572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7573
Epoch 7573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7574
Epoch 7574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7575
Epoch 7575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7576
Epoch 7576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7577
Epoch 7577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7578
Epoch 7578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7579
Epoch 7579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7580
Epoch 7580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7581
Epoch 7581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7582
Epoch 7582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7583
Epoch 7583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7584
Epoch 7584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7585
Epoch 7585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7586
Epoch 7586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7587
Epoch 7587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7588
Epoch 7588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7589
Epoch 7589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7590
Epoch 7590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7591
Epoch 7591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7592
Epoch 7592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7593
Epoch 7593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7594
Epoch 7594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7595
Epoch 7595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7596
Epoch 7596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7597
Epoch 7597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7598
Epoch 7598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7599
Epoch 7599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7600
Epoch 7600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7601
Epoch 7601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7602
Epoch 7602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7603
Epoch 7603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7604
Epoch 7604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7605
Epoch 7605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7606
Epoch 7606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7607
Epoch 7607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7608
Epoch 7608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7609
Epoch 7609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7610
Epoch 7610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7611
Epoch 7611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7612
Epoch 7612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7613
Epoch 7613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7614
Epoch 7614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7615
Epoch 7615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7616
Epoch 7616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7617
Epoch 7617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7618
Epoch 7618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7619
Epoch 7619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7620
Epoch 7620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7621
Epoch 7621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7622
Epoch 7622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7623
Epoch 7623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7624
Epoch 7624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7625
Epoch 7625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7626
Epoch 7626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7627
Epoch 7627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7628
Epoch 7628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7629
Epoch 7629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7630
Epoch 7630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7631
Epoch 7631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7632
Epoch 7632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7633
Epoch 7633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7634
Epoch 7634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7635
Epoch 7635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7636
Epoch 7636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7637
Epoch 7637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7638
Epoch 7638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7639
Epoch 7639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7640
Epoch 7640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7641
Epoch 7641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7642
Epoch 7642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7643
Epoch 7643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7644
Epoch 7644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7645
Epoch 7645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7646
Epoch 7646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7647
Epoch 7647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7648
Epoch 7648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7649
Epoch 7649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7650
Epoch 7650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7651
Epoch 7651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7652
Epoch 7652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7653
Epoch 7653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7654
Epoch 7654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7655
Epoch 7655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7656
Epoch 7656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7657
Epoch 7657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7658
Epoch 7658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7659
Epoch 7659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7660
Epoch 7660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7661
Epoch 7661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7662
Epoch 7662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7663
Epoch 7663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7664
Epoch 7664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7665
Epoch 7665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7666
Epoch 7666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7667
Epoch 7667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7668
Epoch 7668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7669
Epoch 7669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7670
Epoch 7670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7671
Epoch 7671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7672
Epoch 7672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7673
Epoch 7673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7674
Epoch 7674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7675
Epoch 7675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7676
Epoch 7676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7677
Epoch 7677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7678
Epoch 7678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7679
Epoch 7679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7680
Epoch 7680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7681
Epoch 7681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7682
Epoch 7682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7683
Epoch 7683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7684
Epoch 7684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7685
Epoch 7685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7686
Epoch 7686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7687
Epoch 7687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7688
Epoch 7688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7689
Epoch 7689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7690
Epoch 7690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7691
Epoch 7691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7692
Epoch 7692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7693
Epoch 7693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7694
Epoch 7694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7695
Epoch 7695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7696
Epoch 7696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7697
Epoch 7697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7698
Epoch 7698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7699
Epoch 7699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7700
Epoch 7700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7701
Epoch 7701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7702
Epoch 7702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7703
Epoch 7703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7704
Epoch 7704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7705
Epoch 7705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7706
Epoch 7706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7707
Epoch 7707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7708
Epoch 7708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7709
Epoch 7709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7710
Epoch 7710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7711
Epoch 7711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7712
Epoch 7712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7713
Epoch 7713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7714
Epoch 7714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7715
Epoch 7715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7716
Epoch 7716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7717
Epoch 7717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7718
Epoch 7718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7719
Epoch 7719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7720
Epoch 7720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7721
Epoch 7721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7722
Epoch 7722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7723
Epoch 7723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7724
Epoch 7724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7725
Epoch 7725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7726
Epoch 7726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7727
Epoch 7727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7728
Epoch 7728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7729
Epoch 7729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7730
Epoch 7730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7731
Epoch 7731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7732
Epoch 7732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7733
Epoch 7733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7734
Epoch 7734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7735
Epoch 7735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7736
Epoch 7736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7737
Epoch 7737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7738
Epoch 7738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7739
Epoch 7739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7740
Epoch 7740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7741
Epoch 7741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7742
Epoch 7742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7743
Epoch 7743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7744
Epoch 7744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7745
Epoch 7745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7746
Epoch 7746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7747
Epoch 7747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7748
Epoch 7748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7749
Epoch 7749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7750
Epoch 7750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7751
Epoch 7751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7752
Epoch 7752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7753
Epoch 7753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7754
Epoch 7754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7755
Epoch 7755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7756
Epoch 7756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7757
Epoch 7757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7758
Epoch 7758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7759
Epoch 7759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7760
Epoch 7760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7761
Epoch 7761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7762
Epoch 7762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7763
Epoch 7763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7764
Epoch 7764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7765
Epoch 7765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7766
Epoch 7766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7767
Epoch 7767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7768
Epoch 7768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7769
Epoch 7769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7770
Epoch 7770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7771
Epoch 7771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7772
Epoch 7772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7773
Epoch 7773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7774
Epoch 7774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7775
Epoch 7775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7776
Epoch 7776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7777
Epoch 7777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7778
Epoch 7778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7779
Epoch 7779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7780
Epoch 7780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7781
Epoch 7781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7782
Epoch 7782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7783
Epoch 7783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7784
Epoch 7784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7785
Epoch 7785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7786
Epoch 7786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7787
Epoch 7787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7788
Epoch 7788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7789
Epoch 7789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7790
Epoch 7790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7791
Epoch 7791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7792
Epoch 7792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7793
Epoch 7793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7794
Epoch 7794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7795
Epoch 7795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7796
Epoch 7796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7797
Epoch 7797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7798
Epoch 7798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7799
Epoch 7799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7800
Epoch 7800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7801
Epoch 7801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7802
Epoch 7802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7803
Epoch 7803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7804
Epoch 7804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7805
Epoch 7805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7806
Epoch 7806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7807
Epoch 7807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7808
Epoch 7808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7809
Epoch 7809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7810
Epoch 7810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7811
Epoch 7811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7812
Epoch 7812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7813
Epoch 7813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7814
Epoch 7814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7815
Epoch 7815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7816
Epoch 7816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7817
Epoch 7817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7818
Epoch 7818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7819
Epoch 7819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7820
Epoch 7820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7821
Epoch 7821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7822
Epoch 7822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7823
Epoch 7823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7824
Epoch 7824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7825
Epoch 7825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7826
Epoch 7826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7827
Epoch 7827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7828
Epoch 7828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7829
Epoch 7829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7830
Epoch 7830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7831
Epoch 7831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7832
Epoch 7832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7833
Epoch 7833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7834
Epoch 7834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7835
Epoch 7835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7836
Epoch 7836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7837
Epoch 7837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7838
Epoch 7838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7839
Epoch 7839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7840
Epoch 7840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7841
Epoch 7841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7842
Epoch 7842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7843
Epoch 7843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7844
Epoch 7844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7845
Epoch 7845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7846
Epoch 7846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7847
Epoch 7847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7848
Epoch 7848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7849
Epoch 7849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7850
Epoch 7850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7851
Epoch 7851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7852
Epoch 7852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7853
Epoch 7853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7854
Epoch 7854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7855
Epoch 7855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7856
Epoch 7856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7857
Epoch 7857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7858
Epoch 7858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7859
Epoch 7859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7860
Epoch 7860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7861
Epoch 7861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7862
Epoch 7862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7863
Epoch 7863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7864
Epoch 7864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7865
Epoch 7865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7866
Epoch 7866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7867
Epoch 7867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7868
Epoch 7868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7869
Epoch 7869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7870
Epoch 7870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7871
Epoch 7871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7872
Epoch 7872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7873
Epoch 7873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7874
Epoch 7874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7875
Epoch 7875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7876
Epoch 7876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7877
Epoch 7877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7878
Epoch 7878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7879
Epoch 7879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7880
Epoch 7880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7881
Epoch 7881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7882
Epoch 7882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7883
Epoch 7883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7884
Epoch 7884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7885
Epoch 7885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7886
Epoch 7886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7887
Epoch 7887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7888
Epoch 7888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7889
Epoch 7889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7890
Epoch 7890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7891
Epoch 7891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7892
Epoch 7892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7893
Epoch 7893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7894
Epoch 7894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7895
Epoch 7895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7896
Epoch 7896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7897
Epoch 7897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7898
Epoch 7898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7899
Epoch 7899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7900
Epoch 7900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7901
Epoch 7901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7902
Epoch 7902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7903
Epoch 7903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7904
Epoch 7904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7905
Epoch 7905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7906
Epoch 7906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7907
Epoch 7907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7908
Epoch 7908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7909
Epoch 7909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7910
Epoch 7910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7911
Epoch 7911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7912
Epoch 7912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7913
Epoch 7913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7914
Epoch 7914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7915
Epoch 7915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7916
Epoch 7916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7917
Epoch 7917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7918
Epoch 7918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7919
Epoch 7919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7920
Epoch 7920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7921
Epoch 7921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7922
Epoch 7922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7923
Epoch 7923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7924
Epoch 7924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7925
Epoch 7925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7926
Epoch 7926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7927
Epoch 7927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7928
Epoch 7928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7929
Epoch 7929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7930
Epoch 7930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7931
Epoch 7931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7932
Epoch 7932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7933
Epoch 7933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7934
Epoch 7934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7935
Epoch 7935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7936
Epoch 7936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7937
Epoch 7937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7938
Epoch 7938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7939
Epoch 7939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7940
Epoch 7940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7941
Epoch 7941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7942
Epoch 7942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7943
Epoch 7943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7944
Epoch 7944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7945
Epoch 7945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7946
Epoch 7946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7947
Epoch 7947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7948
Epoch 7948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7949
Epoch 7949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7950
Epoch 7950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7951
Epoch 7951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7952
Epoch 7952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7953
Epoch 7953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7954
Epoch 7954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7955
Epoch 7955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7956
Epoch 7956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7957
Epoch 7957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7958
Epoch 7958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7959
Epoch 7959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7960
Epoch 7960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7961
Epoch 7961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7962
Epoch 7962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7963
Epoch 7963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7964
Epoch 7964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7965
Epoch 7965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7966
Epoch 7966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7967
Epoch 7967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7968
Epoch 7968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7969
Epoch 7969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7970
Epoch 7970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7971
Epoch 7971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7972
Epoch 7972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7973
Epoch 7973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7974
Epoch 7974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7975
Epoch 7975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7976
Epoch 7976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7977
Epoch 7977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7978
Epoch 7978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7979
Epoch 7979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7980
Epoch 7980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7981
Epoch 7981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7982
Epoch 7982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7983
Epoch 7983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7984
Epoch 7984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7985
Epoch 7985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7986
Epoch 7986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7987
Epoch 7987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7988
Epoch 7988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7989
Epoch 7989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7990
Epoch 7990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7991
Epoch 7991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7992
Epoch 7992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7993
Epoch 7993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7994
Epoch 7994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7995
Epoch 7995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7996
Epoch 7996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7997
Epoch 7997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7998
Epoch 7998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 7999
Epoch 7999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8000
Epoch 8000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8001
Epoch 8001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8002
Epoch 8002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8003
Epoch 8003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8004
Epoch 8004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8005
Epoch 8005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8006
Epoch 8006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8007
Epoch 8007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8008
Epoch 8008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8009
Epoch 8009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8010
Epoch 8010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8011
Epoch 8011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8012
Epoch 8012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8013
Epoch 8013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8014
Epoch 8014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8015
Epoch 8015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8016
Epoch 8016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8017
Epoch 8017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8018
Epoch 8018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8019
Epoch 8019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8020
Epoch 8020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8021
Epoch 8021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8022
Epoch 8022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8023
Epoch 8023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8024
Epoch 8024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8025
Epoch 8025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8026
Epoch 8026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8027
Epoch 8027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8028
Epoch 8028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8029
Epoch 8029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8030
Epoch 8030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8031
Epoch 8031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8032
Epoch 8032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8033
Epoch 8033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8034
Epoch 8034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8035
Epoch 8035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8036
Epoch 8036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8037
Epoch 8037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8038
Epoch 8038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8039
Epoch 8039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8040
Epoch 8040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8041
Epoch 8041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8042
Epoch 8042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8043
Epoch 8043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8044
Epoch 8044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8045
Epoch 8045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8046
Epoch 8046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8047
Epoch 8047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8048
Epoch 8048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8049
Epoch 8049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8050
Epoch 8050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8051
Epoch 8051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8052
Epoch 8052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8053
Epoch 8053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8054
Epoch 8054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8055
Epoch 8055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8056
Epoch 8056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8057
Epoch 8057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8058
Epoch 8058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8059
Epoch 8059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8060
Epoch 8060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8061
Epoch 8061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8062
Epoch 8062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8063
Epoch 8063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8064
Epoch 8064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8065
Epoch 8065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8066
Epoch 8066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8067
Epoch 8067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8068
Epoch 8068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8069
Epoch 8069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8070
Epoch 8070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8071
Epoch 8071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8072
Epoch 8072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8073
Epoch 8073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8074
Epoch 8074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8075
Epoch 8075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8076
Epoch 8076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8077
Epoch 8077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8078
Epoch 8078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8079
Epoch 8079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8080
Epoch 8080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8081
Epoch 8081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8082
Epoch 8082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8083
Epoch 8083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8084
Epoch 8084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8085
Epoch 8085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8086
Epoch 8086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8087
Epoch 8087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8088
Epoch 8088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8089
Epoch 8089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8090
Epoch 8090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8091
Epoch 8091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8092
Epoch 8092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8093
Epoch 8093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8094
Epoch 8094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8095
Epoch 8095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8096
Epoch 8096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8097
Epoch 8097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8098
Epoch 8098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8099
Epoch 8099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8100
Epoch 8100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8101
Epoch 8101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8102
Epoch 8102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8103
Epoch 8103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8104
Epoch 8104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8105
Epoch 8105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8106
Epoch 8106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8107
Epoch 8107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8108
Epoch 8108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8109
Epoch 8109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8110
Epoch 8110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8111
Epoch 8111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8112
Epoch 8112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8113
Epoch 8113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8114
Epoch 8114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8115
Epoch 8115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8116
Epoch 8116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8117
Epoch 8117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8118
Epoch 8118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8119
Epoch 8119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8120
Epoch 8120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8121
Epoch 8121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8122
Epoch 8122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8123
Epoch 8123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8124
Epoch 8124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8125
Epoch 8125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8126
Epoch 8126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8127
Epoch 8127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8128
Epoch 8128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8129
Epoch 8129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8130
Epoch 8130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8131
Epoch 8131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8132
Epoch 8132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8133
Epoch 8133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8134
Epoch 8134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8135
Epoch 8135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8136
Epoch 8136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8137
Epoch 8137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8138
Epoch 8138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8139
Epoch 8139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8140
Epoch 8140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8141
Epoch 8141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8142
Epoch 8142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8143
Epoch 8143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8144
Epoch 8144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8145
Epoch 8145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8146
Epoch 8146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8147
Epoch 8147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8148
Epoch 8148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8149
Epoch 8149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8150
Epoch 8150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8151
Epoch 8151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8152
Epoch 8152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8153
Epoch 8153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8154
Epoch 8154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8155
Epoch 8155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8156
Epoch 8156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8157
Epoch 8157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8158
Epoch 8158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8159
Epoch 8159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8160
Epoch 8160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8161
Epoch 8161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8162
Epoch 8162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8163
Epoch 8163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8164
Epoch 8164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8165
Epoch 8165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8166
Epoch 8166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8167
Epoch 8167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8168
Epoch 8168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8169
Epoch 8169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8170
Epoch 8170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8171
Epoch 8171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8172
Epoch 8172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8173
Epoch 8173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8174
Epoch 8174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8175
Epoch 8175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8176
Epoch 8176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8177
Epoch 8177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8178
Epoch 8178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8179
Epoch 8179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8180
Epoch 8180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8181
Epoch 8181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8182
Epoch 8182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8183
Epoch 8183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8184
Epoch 8184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8185
Epoch 8185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8186
Epoch 8186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8187
Epoch 8187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8188
Epoch 8188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8189
Epoch 8189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8190
Epoch 8190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8191
Epoch 8191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8192
Epoch 8192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8193
Epoch 8193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8194
Epoch 8194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8195
Epoch 8195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8196
Epoch 8196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8197
Epoch 8197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8198
Epoch 8198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8199
Epoch 8199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8200
Epoch 8200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8201
Epoch 8201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8202
Epoch 8202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8203
Epoch 8203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8204
Epoch 8204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8205
Epoch 8205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8206
Epoch 8206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8207
Epoch 8207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8208
Epoch 8208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8209
Epoch 8209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8210
Epoch 8210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8211
Epoch 8211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8212
Epoch 8212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8213
Epoch 8213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8214
Epoch 8214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8215
Epoch 8215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8216
Epoch 8216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8217
Epoch 8217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8218
Epoch 8218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8219
Epoch 8219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8220
Epoch 8220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8221
Epoch 8221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8222
Epoch 8222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8223
Epoch 8223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8224
Epoch 8224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8225
Epoch 8225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8226
Epoch 8226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8227
Epoch 8227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8228
Epoch 8228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8229
Epoch 8229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8230
Epoch 8230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8231
Epoch 8231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8232
Epoch 8232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8233
Epoch 8233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8234
Epoch 8234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8235
Epoch 8235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8236
Epoch 8236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8237
Epoch 8237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8238
Epoch 8238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8239
Epoch 8239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8240
Epoch 8240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8241
Epoch 8241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8242
Epoch 8242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8243
Epoch 8243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8244
Epoch 8244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8245
Epoch 8245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8246
Epoch 8246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8247
Epoch 8247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8248
Epoch 8248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8249
Epoch 8249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8250
Epoch 8250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8251
Epoch 8251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8252
Epoch 8252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8253
Epoch 8253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8254
Epoch 8254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8255
Epoch 8255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8256
Epoch 8256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8257
Epoch 8257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8258
Epoch 8258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8259
Epoch 8259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8260
Epoch 8260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8261
Epoch 8261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8262
Epoch 8262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8263
Epoch 8263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8264
Epoch 8264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8265
Epoch 8265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8266
Epoch 8266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8267
Epoch 8267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8268
Epoch 8268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8269
Epoch 8269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8270
Epoch 8270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8271
Epoch 8271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8272
Epoch 8272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8273
Epoch 8273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8274
Epoch 8274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8275
Epoch 8275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8276
Epoch 8276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8277
Epoch 8277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8278
Epoch 8278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8279
Epoch 8279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8280
Epoch 8280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8281
Epoch 8281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8282
Epoch 8282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8283
Epoch 8283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8284
Epoch 8284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8285
Epoch 8285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8286
Epoch 8286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8287
Epoch 8287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8288
Epoch 8288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8289
Epoch 8289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8290
Epoch 8290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8291
Epoch 8291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8292
Epoch 8292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8293
Epoch 8293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8294
Epoch 8294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8295
Epoch 8295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8296
Epoch 8296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8297
Epoch 8297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8298
Epoch 8298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8299
Epoch 8299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8300
Epoch 8300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8301
Epoch 8301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8302
Epoch 8302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8303
Epoch 8303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8304
Epoch 8304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8305
Epoch 8305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8306
Epoch 8306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8307
Epoch 8307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8308
Epoch 8308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8309
Epoch 8309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8310
Epoch 8310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8311
Epoch 8311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8312
Epoch 8312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8313
Epoch 8313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8314
Epoch 8314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8315
Epoch 8315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8316
Epoch 8316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8317
Epoch 8317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8318
Epoch 8318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8319
Epoch 8319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8320
Epoch 8320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8321
Epoch 8321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8322
Epoch 8322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8323
Epoch 8323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8324
Epoch 8324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8325
Epoch 8325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8326
Epoch 8326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8327
Epoch 8327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8328
Epoch 8328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8329
Epoch 8329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8330
Epoch 8330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8331
Epoch 8331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8332
Epoch 8332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8333
Epoch 8333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8334
Epoch 8334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8335
Epoch 8335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8336
Epoch 8336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8337
Epoch 8337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8338
Epoch 8338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8339
Epoch 8339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8340
Epoch 8340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8341
Epoch 8341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8342
Epoch 8342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8343
Epoch 8343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8344
Epoch 8344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8345
Epoch 8345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8346
Epoch 8346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8347
Epoch 8347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8348
Epoch 8348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8349
Epoch 8349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8350
Epoch 8350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8351
Epoch 8351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8352
Epoch 8352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8353
Epoch 8353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8354
Epoch 8354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8355
Epoch 8355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8356
Epoch 8356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8357
Epoch 8357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8358
Epoch 8358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8359
Epoch 8359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8360
Epoch 8360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8361
Epoch 8361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8362
Epoch 8362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8363
Epoch 8363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8364
Epoch 8364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8365
Epoch 8365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8366
Epoch 8366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8367
Epoch 8367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8368
Epoch 8368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8369
Epoch 8369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8370
Epoch 8370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8371
Epoch 8371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8372
Epoch 8372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8373
Epoch 8373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8374
Epoch 8374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8375
Epoch 8375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8376
Epoch 8376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8377
Epoch 8377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8378
Epoch 8378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8379
Epoch 8379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8380
Epoch 8380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8381
Epoch 8381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8382
Epoch 8382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8383
Epoch 8383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8384
Epoch 8384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8385
Epoch 8385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8386
Epoch 8386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8387
Epoch 8387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8388
Epoch 8388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8389
Epoch 8389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8390
Epoch 8390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8391
Epoch 8391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8392
Epoch 8392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8393
Epoch 8393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8394
Epoch 8394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8395
Epoch 8395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8396
Epoch 8396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8397
Epoch 8397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8398
Epoch 8398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8399
Epoch 8399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8400
Epoch 8400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8401
Epoch 8401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8402
Epoch 8402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8403
Epoch 8403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8404
Epoch 8404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8405
Epoch 8405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8406
Epoch 8406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8407
Epoch 8407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8408
Epoch 8408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8409
Epoch 8409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8410
Epoch 8410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8411
Epoch 8411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8412
Epoch 8412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8413
Epoch 8413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8414
Epoch 8414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8415
Epoch 8415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8416
Epoch 8416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8417
Epoch 8417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8418
Epoch 8418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8419
Epoch 8419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8420
Epoch 8420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8421
Epoch 8421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8422
Epoch 8422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8423
Epoch 8423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8424
Epoch 8424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8425
Epoch 8425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8426
Epoch 8426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8427
Epoch 8427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8428
Epoch 8428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8429
Epoch 8429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8430
Epoch 8430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8431
Epoch 8431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8432
Epoch 8432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8433
Epoch 8433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8434
Epoch 8434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8435
Epoch 8435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8436
Epoch 8436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8437
Epoch 8437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8438
Epoch 8438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8439
Epoch 8439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8440
Epoch 8440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8441
Epoch 8441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8442
Epoch 8442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8443
Epoch 8443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8444
Epoch 8444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8445
Epoch 8445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8446
Epoch 8446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8447
Epoch 8447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8448
Epoch 8448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8449
Epoch 8449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8450
Epoch 8450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8451
Epoch 8451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8452
Epoch 8452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8453
Epoch 8453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8454
Epoch 8454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8455
Epoch 8455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8456
Epoch 8456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8457
Epoch 8457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8458
Epoch 8458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8459
Epoch 8459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8460
Epoch 8460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8461
Epoch 8461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8462
Epoch 8462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8463
Epoch 8463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8464
Epoch 8464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8465
Epoch 8465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8466
Epoch 8466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8467
Epoch 8467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8468
Epoch 8468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8469
Epoch 8469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8470
Epoch 8470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8471
Epoch 8471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8472
Epoch 8472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8473
Epoch 8473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8474
Epoch 8474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8475
Epoch 8475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8476
Epoch 8476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8477
Epoch 8477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8478
Epoch 8478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8479
Epoch 8479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8480
Epoch 8480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8481
Epoch 8481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8482
Epoch 8482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8483
Epoch 8483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8484
Epoch 8484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8485
Epoch 8485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8486
Epoch 8486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8487
Epoch 8487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8488
Epoch 8488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8489
Epoch 8489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8490
Epoch 8490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8491
Epoch 8491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8492
Epoch 8492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8493
Epoch 8493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8494
Epoch 8494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8495
Epoch 8495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8496
Epoch 8496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8497
Epoch 8497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8498
Epoch 8498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8499
Epoch 8499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8500
Epoch 8500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8501
Epoch 8501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8502
Epoch 8502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8503
Epoch 8503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8504
Epoch 8504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8505
Epoch 8505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8506
Epoch 8506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8507
Epoch 8507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8508
Epoch 8508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8509
Epoch 8509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8510
Epoch 8510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8511
Epoch 8511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8512
Epoch 8512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8513
Epoch 8513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8514
Epoch 8514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8515
Epoch 8515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8516
Epoch 8516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8517
Epoch 8517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8518
Epoch 8518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8519
Epoch 8519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8520
Epoch 8520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8521
Epoch 8521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8522
Epoch 8522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8523
Epoch 8523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8524
Epoch 8524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8525
Epoch 8525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8526
Epoch 8526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8527
Epoch 8527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8528
Epoch 8528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8529
Epoch 8529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8530
Epoch 8530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8531
Epoch 8531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8532
Epoch 8532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8533
Epoch 8533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8534
Epoch 8534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8535
Epoch 8535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8536
Epoch 8536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8537
Epoch 8537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8538
Epoch 8538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8539
Epoch 8539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8540
Epoch 8540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8541
Epoch 8541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8542
Epoch 8542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8543
Epoch 8543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8544
Epoch 8544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8545
Epoch 8545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8546
Epoch 8546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8547
Epoch 8547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8548
Epoch 8548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8549
Epoch 8549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8550
Epoch 8550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8551
Epoch 8551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8552
Epoch 8552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8553
Epoch 8553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8554
Epoch 8554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8555
Epoch 8555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8556
Epoch 8556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8557
Epoch 8557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8558
Epoch 8558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8559
Epoch 8559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8560
Epoch 8560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8561
Epoch 8561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8562
Epoch 8562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8563
Epoch 8563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8564
Epoch 8564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8565
Epoch 8565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8566
Epoch 8566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8567
Epoch 8567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8568
Epoch 8568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8569
Epoch 8569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8570
Epoch 8570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8571
Epoch 8571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8572
Epoch 8572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8573
Epoch 8573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8574
Epoch 8574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8575
Epoch 8575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8576
Epoch 8576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8577
Epoch 8577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8578
Epoch 8578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8579
Epoch 8579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8580
Epoch 8580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8581
Epoch 8581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8582
Epoch 8582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8583
Epoch 8583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8584
Epoch 8584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8585
Epoch 8585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8586
Epoch 8586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8587
Epoch 8587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8588
Epoch 8588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8589
Epoch 8589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8590
Epoch 8590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8591
Epoch 8591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8592
Epoch 8592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8593
Epoch 8593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8594
Epoch 8594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8595
Epoch 8595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8596
Epoch 8596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8597
Epoch 8597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8598
Epoch 8598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8599
Epoch 8599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8600
Epoch 8600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8601
Epoch 8601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8602
Epoch 8602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8603
Epoch 8603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8604
Epoch 8604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8605
Epoch 8605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8606
Epoch 8606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8607
Epoch 8607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8608
Epoch 8608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8609
Epoch 8609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8610
Epoch 8610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8611
Epoch 8611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8612
Epoch 8612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8613
Epoch 8613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8614
Epoch 8614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8615
Epoch 8615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8616
Epoch 8616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8617
Epoch 8617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8618
Epoch 8618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8619
Epoch 8619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8620
Epoch 8620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8621
Epoch 8621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8622
Epoch 8622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8623
Epoch 8623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8624
Epoch 8624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8625
Epoch 8625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8626
Epoch 8626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8627
Epoch 8627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8628
Epoch 8628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8629
Epoch 8629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8630
Epoch 8630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8631
Epoch 8631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8632
Epoch 8632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8633
Epoch 8633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8634
Epoch 8634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8635
Epoch 8635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8636
Epoch 8636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8637
Epoch 8637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8638
Epoch 8638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8639
Epoch 8639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8640
Epoch 8640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8641
Epoch 8641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8642
Epoch 8642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8643
Epoch 8643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8644
Epoch 8644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8645
Epoch 8645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8646
Epoch 8646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8647
Epoch 8647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8648
Epoch 8648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8649
Epoch 8649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8650
Epoch 8650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8651
Epoch 8651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8652
Epoch 8652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8653
Epoch 8653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8654
Epoch 8654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8655
Epoch 8655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8656
Epoch 8656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8657
Epoch 8657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8658
Epoch 8658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8659
Epoch 8659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8660
Epoch 8660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8661
Epoch 8661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8662
Epoch 8662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8663
Epoch 8663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8664
Epoch 8664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8665
Epoch 8665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8666
Epoch 8666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8667
Epoch 8667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8668
Epoch 8668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8669
Epoch 8669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8670
Epoch 8670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8671
Epoch 8671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8672
Epoch 8672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8673
Epoch 8673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8674
Epoch 8674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8675
Epoch 8675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8676
Epoch 8676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8677
Epoch 8677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8678
Epoch 8678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8679
Epoch 8679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8680
Epoch 8680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8681
Epoch 8681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8682
Epoch 8682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8683
Epoch 8683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8684
Epoch 8684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8685
Epoch 8685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8686
Epoch 8686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8687
Epoch 8687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8688
Epoch 8688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8689
Epoch 8689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8690
Epoch 8690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8691
Epoch 8691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8692
Epoch 8692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8693
Epoch 8693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8694
Epoch 8694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8695
Epoch 8695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8696
Epoch 8696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8697
Epoch 8697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8698
Epoch 8698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8699
Epoch 8699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8700
Epoch 8700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8701
Epoch 8701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8702
Epoch 8702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8703
Epoch 8703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8704
Epoch 8704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8705
Epoch 8705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8706
Epoch 8706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8707
Epoch 8707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8708
Epoch 8708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8709
Epoch 8709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8710
Epoch 8710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8711
Epoch 8711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8712
Epoch 8712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8713
Epoch 8713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8714
Epoch 8714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8715
Epoch 8715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8716
Epoch 8716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8717
Epoch 8717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8718
Epoch 8718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8719
Epoch 8719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8720
Epoch 8720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8721
Epoch 8721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8722
Epoch 8722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8723
Epoch 8723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8724
Epoch 8724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8725
Epoch 8725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8726
Epoch 8726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8727
Epoch 8727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8728
Epoch 8728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8729
Epoch 8729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8730
Epoch 8730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8731
Epoch 8731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8732
Epoch 8732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8733
Epoch 8733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8734
Epoch 8734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8735
Epoch 8735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8736
Epoch 8736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8737
Epoch 8737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8738
Epoch 8738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8739
Epoch 8739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8740
Epoch 8740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8741
Epoch 8741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8742
Epoch 8742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8743
Epoch 8743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8744
Epoch 8744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8745
Epoch 8745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8746
Epoch 8746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8747
Epoch 8747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8748
Epoch 8748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8749
Epoch 8749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8750
Epoch 8750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8751
Epoch 8751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8752
Epoch 8752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8753
Epoch 8753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8754
Epoch 8754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8755
Epoch 8755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8756
Epoch 8756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8757
Epoch 8757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8758
Epoch 8758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8759
Epoch 8759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8760
Epoch 8760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8761
Epoch 8761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8762
Epoch 8762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8763
Epoch 8763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8764
Epoch 8764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8765
Epoch 8765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8766
Epoch 8766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8767
Epoch 8767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8768
Epoch 8768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8769
Epoch 8769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8770
Epoch 8770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8771
Epoch 8771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8772
Epoch 8772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8773
Epoch 8773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8774
Epoch 8774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8775
Epoch 8775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8776
Epoch 8776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8777
Epoch 8777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8778
Epoch 8778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8779
Epoch 8779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8780
Epoch 8780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8781
Epoch 8781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8782
Epoch 8782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8783
Epoch 8783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8784
Epoch 8784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8785
Epoch 8785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8786
Epoch 8786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8787
Epoch 8787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8788
Epoch 8788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8789
Epoch 8789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8790
Epoch 8790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8791
Epoch 8791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8792
Epoch 8792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8793
Epoch 8793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8794
Epoch 8794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8795
Epoch 8795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8796
Epoch 8796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8797
Epoch 8797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8798
Epoch 8798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8799
Epoch 8799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8800
Epoch 8800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8801
Epoch 8801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8802
Epoch 8802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8803
Epoch 8803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8804
Epoch 8804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8805
Epoch 8805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8806
Epoch 8806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8807
Epoch 8807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8808
Epoch 8808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8809
Epoch 8809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8810
Epoch 8810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8811
Epoch 8811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8812
Epoch 8812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8813
Epoch 8813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8814
Epoch 8814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8815
Epoch 8815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8816
Epoch 8816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8817
Epoch 8817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8818
Epoch 8818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8819
Epoch 8819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8820
Epoch 8820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8821
Epoch 8821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8822
Epoch 8822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8823
Epoch 8823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8824
Epoch 8824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8825
Epoch 8825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8826
Epoch 8826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8827
Epoch 8827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8828
Epoch 8828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8829
Epoch 8829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8830
Epoch 8830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8831
Epoch 8831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8832
Epoch 8832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8833
Epoch 8833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8834
Epoch 8834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8835
Epoch 8835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8836
Epoch 8836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8837
Epoch 8837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8838
Epoch 8838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8839
Epoch 8839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8840
Epoch 8840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8841
Epoch 8841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8842
Epoch 8842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8843
Epoch 8843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8844
Epoch 8844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8845
Epoch 8845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8846
Epoch 8846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8847
Epoch 8847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8848
Epoch 8848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8849
Epoch 8849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8850
Epoch 8850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8851
Epoch 8851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8852
Epoch 8852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8853
Epoch 8853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8854
Epoch 8854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8855
Epoch 8855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8856
Epoch 8856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8857
Epoch 8857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8858
Epoch 8858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8859
Epoch 8859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8860
Epoch 8860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8861
Epoch 8861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8862
Epoch 8862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8863
Epoch 8863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8864
Epoch 8864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8865
Epoch 8865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8866
Epoch 8866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8867
Epoch 8867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8868
Epoch 8868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8869
Epoch 8869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8870
Epoch 8870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8871
Epoch 8871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8872
Epoch 8872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8873
Epoch 8873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8874
Epoch 8874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8875
Epoch 8875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8876
Epoch 8876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8877
Epoch 8877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8878
Epoch 8878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8879
Epoch 8879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8880
Epoch 8880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8881
Epoch 8881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8882
Epoch 8882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8883
Epoch 8883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8884
Epoch 8884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8885
Epoch 8885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8886
Epoch 8886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8887
Epoch 8887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8888
Epoch 8888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8889
Epoch 8889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8890
Epoch 8890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8891
Epoch 8891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8892
Epoch 8892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8893
Epoch 8893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8894
Epoch 8894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8895
Epoch 8895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8896
Epoch 8896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8897
Epoch 8897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8898
Epoch 8898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8899
Epoch 8899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8900
Epoch 8900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8901
Epoch 8901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8902
Epoch 8902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8903
Epoch 8903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8904
Epoch 8904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8905
Epoch 8905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8906
Epoch 8906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8907
Epoch 8907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8908
Epoch 8908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8909
Epoch 8909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8910
Epoch 8910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8911
Epoch 8911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8912
Epoch 8912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8913
Epoch 8913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8914
Epoch 8914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8915
Epoch 8915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8916
Epoch 8916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8917
Epoch 8917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8918
Epoch 8918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8919
Epoch 8919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8920
Epoch 8920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8921
Epoch 8921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8922
Epoch 8922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8923
Epoch 8923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8924
Epoch 8924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8925
Epoch 8925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8926
Epoch 8926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8927
Epoch 8927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8928
Epoch 8928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8929
Epoch 8929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8930
Epoch 8930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8931
Epoch 8931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8932
Epoch 8932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8933
Epoch 8933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8934
Epoch 8934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8935
Epoch 8935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8936
Epoch 8936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8937
Epoch 8937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8938
Epoch 8938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8939
Epoch 8939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8940
Epoch 8940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8941
Epoch 8941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8942
Epoch 8942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8943
Epoch 8943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8944
Epoch 8944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8945
Epoch 8945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8946
Epoch 8946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8947
Epoch 8947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8948
Epoch 8948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8949
Epoch 8949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8950
Epoch 8950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8951
Epoch 8951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8952
Epoch 8952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8953
Epoch 8953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8954
Epoch 8954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8955
Epoch 8955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8956
Epoch 8956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8957
Epoch 8957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8958
Epoch 8958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8959
Epoch 8959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8960
Epoch 8960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8961
Epoch 8961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8962
Epoch 8962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8963
Epoch 8963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8964
Epoch 8964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8965
Epoch 8965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8966
Epoch 8966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8967
Epoch 8967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8968
Epoch 8968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8969
Epoch 8969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8970
Epoch 8970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8971
Epoch 8971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8972
Epoch 8972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8973
Epoch 8973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8974
Epoch 8974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8975
Epoch 8975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8976
Epoch 8976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8977
Epoch 8977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8978
Epoch 8978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8979
Epoch 8979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8980
Epoch 8980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8981
Epoch 8981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8982
Epoch 8982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8983
Epoch 8983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8984
Epoch 8984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8985
Epoch 8985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8986
Epoch 8986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8987
Epoch 8987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8988
Epoch 8988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8989
Epoch 8989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8990
Epoch 8990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8991
Epoch 8991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8992
Epoch 8992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8993
Epoch 8993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8994
Epoch 8994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8995
Epoch 8995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8996
Epoch 8996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8997
Epoch 8997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8998
Epoch 8998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 8999
Epoch 8999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9000
Epoch 9000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9001
Epoch 9001/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9002
Epoch 9002/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9003
Epoch 9003/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9004
Epoch 9004/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9005
Epoch 9005/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9006
Epoch 9006/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9007
Epoch 9007/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9008
Epoch 9008/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9009
Epoch 9009/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9010
Epoch 9010/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9011
Epoch 9011/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9012
Epoch 9012/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9013
Epoch 9013/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9014
Epoch 9014/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9015
Epoch 9015/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9016
Epoch 9016/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9017
Epoch 9017/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9018
Epoch 9018/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9019
Epoch 9019/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9020
Epoch 9020/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9021
Epoch 9021/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9022
Epoch 9022/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9023
Epoch 9023/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9024
Epoch 9024/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9025
Epoch 9025/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9026
Epoch 9026/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9027
Epoch 9027/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9028
Epoch 9028/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9029
Epoch 9029/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9030
Epoch 9030/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9031
Epoch 9031/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9032
Epoch 9032/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9033
Epoch 9033/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9034
Epoch 9034/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9035
Epoch 9035/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9036
Epoch 9036/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9037
Epoch 9037/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9038
Epoch 9038/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9039
Epoch 9039/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9040
Epoch 9040/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9041
Epoch 9041/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9042
Epoch 9042/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9043
Epoch 9043/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9044
Epoch 9044/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9045
Epoch 9045/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9046
Epoch 9046/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9047
Epoch 9047/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9048
Epoch 9048/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9049
Epoch 9049/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9050
Epoch 9050/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9051
Epoch 9051/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9052
Epoch 9052/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9053
Epoch 9053/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9054
Epoch 9054/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9055
Epoch 9055/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9056
Epoch 9056/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9057
Epoch 9057/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9058
Epoch 9058/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9059
Epoch 9059/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9060
Epoch 9060/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9061
Epoch 9061/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9062
Epoch 9062/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9063
Epoch 9063/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9064
Epoch 9064/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9065
Epoch 9065/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9066
Epoch 9066/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9067
Epoch 9067/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9068
Epoch 9068/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9069
Epoch 9069/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9070
Epoch 9070/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9071
Epoch 9071/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9072
Epoch 9072/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9073
Epoch 9073/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9074
Epoch 9074/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9075
Epoch 9075/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9076
Epoch 9076/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9077
Epoch 9077/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9078
Epoch 9078/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9079
Epoch 9079/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9080
Epoch 9080/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9081
Epoch 9081/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9082
Epoch 9082/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9083
Epoch 9083/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9084
Epoch 9084/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9085
Epoch 9085/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9086
Epoch 9086/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9087
Epoch 9087/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9088
Epoch 9088/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9089
Epoch 9089/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9090
Epoch 9090/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9091
Epoch 9091/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9092
Epoch 9092/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9093
Epoch 9093/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9094
Epoch 9094/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9095
Epoch 9095/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9096
Epoch 9096/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9097
Epoch 9097/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9098
Epoch 9098/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9099
Epoch 9099/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9100
Epoch 9100/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9101
Epoch 9101/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9102
Epoch 9102/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9103
Epoch 9103/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9104
Epoch 9104/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9105
Epoch 9105/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9106
Epoch 9106/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9107
Epoch 9107/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9108
Epoch 9108/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9109
Epoch 9109/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9110
Epoch 9110/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9111
Epoch 9111/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9112
Epoch 9112/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9113
Epoch 9113/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9114
Epoch 9114/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9115
Epoch 9115/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9116
Epoch 9116/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9117
Epoch 9117/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9118
Epoch 9118/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9119
Epoch 9119/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9120
Epoch 9120/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9121
Epoch 9121/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9122
Epoch 9122/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9123
Epoch 9123/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9124
Epoch 9124/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9125
Epoch 9125/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9126
Epoch 9126/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9127
Epoch 9127/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9128
Epoch 9128/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9129
Epoch 9129/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9130
Epoch 9130/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9131
Epoch 9131/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9132
Epoch 9132/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9133
Epoch 9133/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9134
Epoch 9134/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9135
Epoch 9135/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9136
Epoch 9136/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9137
Epoch 9137/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9138
Epoch 9138/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9139
Epoch 9139/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9140
Epoch 9140/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9141
Epoch 9141/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9142
Epoch 9142/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9143
Epoch 9143/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9144
Epoch 9144/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9145
Epoch 9145/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9146
Epoch 9146/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9147
Epoch 9147/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9148
Epoch 9148/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9149
Epoch 9149/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9150
Epoch 9150/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9151
Epoch 9151/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9152
Epoch 9152/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9153
Epoch 9153/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9154
Epoch 9154/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9155
Epoch 9155/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9156
Epoch 9156/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9157
Epoch 9157/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9158
Epoch 9158/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9159
Epoch 9159/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9160
Epoch 9160/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9161
Epoch 9161/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9162
Epoch 9162/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9163
Epoch 9163/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9164
Epoch 9164/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9165
Epoch 9165/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9166
Epoch 9166/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9167
Epoch 9167/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9168
Epoch 9168/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9169
Epoch 9169/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9170
Epoch 9170/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9171
Epoch 9171/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9172
Epoch 9172/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9173
Epoch 9173/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9174
Epoch 9174/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9175
Epoch 9175/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9176
Epoch 9176/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9177
Epoch 9177/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9178
Epoch 9178/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9179
Epoch 9179/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9180
Epoch 9180/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9181
Epoch 9181/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9182
Epoch 9182/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9183
Epoch 9183/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9184
Epoch 9184/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9185
Epoch 9185/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9186
Epoch 9186/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9187
Epoch 9187/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9188
Epoch 9188/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9189
Epoch 9189/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9190
Epoch 9190/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9191
Epoch 9191/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9192
Epoch 9192/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9193
Epoch 9193/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9194
Epoch 9194/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9195
Epoch 9195/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9196
Epoch 9196/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9197
Epoch 9197/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9198
Epoch 9198/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9199
Epoch 9199/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9200
Epoch 9200/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9201
Epoch 9201/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9202
Epoch 9202/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9203
Epoch 9203/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9204
Epoch 9204/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9205
Epoch 9205/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9206
Epoch 9206/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9207
Epoch 9207/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9208
Epoch 9208/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9209
Epoch 9209/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9210
Epoch 9210/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9211
Epoch 9211/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9212
Epoch 9212/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9213
Epoch 9213/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9214
Epoch 9214/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9215
Epoch 9215/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9216
Epoch 9216/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9217
Epoch 9217/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9218
Epoch 9218/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9219
Epoch 9219/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9220
Epoch 9220/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9221
Epoch 9221/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9222
Epoch 9222/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9223
Epoch 9223/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9224
Epoch 9224/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9225
Epoch 9225/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9226
Epoch 9226/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9227
Epoch 9227/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9228
Epoch 9228/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9229
Epoch 9229/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9230
Epoch 9230/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9231
Epoch 9231/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9232
Epoch 9232/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9233
Epoch 9233/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9234
Epoch 9234/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9235
Epoch 9235/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9236
Epoch 9236/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9237
Epoch 9237/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9238
Epoch 9238/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9239
Epoch 9239/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9240
Epoch 9240/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9241
Epoch 9241/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9242
Epoch 9242/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9243
Epoch 9243/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9244
Epoch 9244/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9245
Epoch 9245/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9246
Epoch 9246/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9247
Epoch 9247/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9248
Epoch 9248/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9249
Epoch 9249/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9250
Epoch 9250/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9251
Epoch 9251/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9252
Epoch 9252/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9253
Epoch 9253/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9254
Epoch 9254/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9255
Epoch 9255/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9256
Epoch 9256/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9257
Epoch 9257/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9258
Epoch 9258/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9259
Epoch 9259/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9260
Epoch 9260/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9261
Epoch 9261/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9262
Epoch 9262/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9263
Epoch 9263/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9264
Epoch 9264/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9265
Epoch 9265/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9266
Epoch 9266/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9267
Epoch 9267/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9268
Epoch 9268/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9269
Epoch 9269/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9270
Epoch 9270/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9271
Epoch 9271/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9272
Epoch 9272/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9273
Epoch 9273/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9274
Epoch 9274/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9275
Epoch 9275/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9276
Epoch 9276/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9277
Epoch 9277/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9278
Epoch 9278/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9279
Epoch 9279/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9280
Epoch 9280/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9281
Epoch 9281/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9282
Epoch 9282/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9283
Epoch 9283/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9284
Epoch 9284/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9285
Epoch 9285/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9286
Epoch 9286/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9287
Epoch 9287/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9288
Epoch 9288/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9289
Epoch 9289/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9290
Epoch 9290/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9291
Epoch 9291/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9292
Epoch 9292/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9293
Epoch 9293/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9294
Epoch 9294/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9295
Epoch 9295/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9296
Epoch 9296/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9297
Epoch 9297/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9298
Epoch 9298/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9299
Epoch 9299/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9300
Epoch 9300/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9301
Epoch 9301/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9302
Epoch 9302/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9303
Epoch 9303/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9304
Epoch 9304/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9305
Epoch 9305/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9306
Epoch 9306/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9307
Epoch 9307/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9308
Epoch 9308/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9309
Epoch 9309/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9310
Epoch 9310/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9311
Epoch 9311/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9312
Epoch 9312/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9313
Epoch 9313/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9314
Epoch 9314/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9315
Epoch 9315/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9316
Epoch 9316/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9317
Epoch 9317/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9318
Epoch 9318/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9319
Epoch 9319/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9320
Epoch 9320/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9321
Epoch 9321/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9322
Epoch 9322/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9323
Epoch 9323/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9324
Epoch 9324/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9325
Epoch 9325/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9326
Epoch 9326/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9327
Epoch 9327/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9328
Epoch 9328/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9329
Epoch 9329/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9330
Epoch 9330/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9331
Epoch 9331/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9332
Epoch 9332/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9333
Epoch 9333/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9334
Epoch 9334/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9335
Epoch 9335/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9336
Epoch 9336/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9337
Epoch 9337/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9338
Epoch 9338/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9339
Epoch 9339/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9340
Epoch 9340/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9341
Epoch 9341/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9342
Epoch 9342/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9343
Epoch 9343/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9344
Epoch 9344/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9345
Epoch 9345/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9346
Epoch 9346/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9347
Epoch 9347/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9348
Epoch 9348/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9349
Epoch 9349/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9350
Epoch 9350/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9351
Epoch 9351/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9352
Epoch 9352/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9353
Epoch 9353/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9354
Epoch 9354/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9355
Epoch 9355/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9356
Epoch 9356/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9357
Epoch 9357/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9358
Epoch 9358/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9359
Epoch 9359/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9360
Epoch 9360/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9361
Epoch 9361/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9362
Epoch 9362/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9363
Epoch 9363/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9364
Epoch 9364/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9365
Epoch 9365/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9366
Epoch 9366/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9367
Epoch 9367/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9368
Epoch 9368/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9369
Epoch 9369/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9370
Epoch 9370/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9371
Epoch 9371/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9372
Epoch 9372/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9373
Epoch 9373/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9374
Epoch 9374/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9375
Epoch 9375/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9376
Epoch 9376/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9377
Epoch 9377/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9378
Epoch 9378/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9379
Epoch 9379/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9380
Epoch 9380/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9381
Epoch 9381/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9382
Epoch 9382/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9383
Epoch 9383/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9384
Epoch 9384/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9385
Epoch 9385/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9386
Epoch 9386/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9387
Epoch 9387/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9388
Epoch 9388/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9389
Epoch 9389/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9390
Epoch 9390/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9391
Epoch 9391/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9392
Epoch 9392/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9393
Epoch 9393/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9394
Epoch 9394/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9395
Epoch 9395/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9396
Epoch 9396/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9397
Epoch 9397/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9398
Epoch 9398/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9399
Epoch 9399/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9400
Epoch 9400/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9401
Epoch 9401/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9402
Epoch 9402/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9403
Epoch 9403/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9404
Epoch 9404/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9405
Epoch 9405/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9406
Epoch 9406/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9407
Epoch 9407/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9408
Epoch 9408/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9409
Epoch 9409/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9410
Epoch 9410/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9411
Epoch 9411/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9412
Epoch 9412/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9413
Epoch 9413/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9414
Epoch 9414/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9415
Epoch 9415/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9416
Epoch 9416/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9417
Epoch 9417/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9418
Epoch 9418/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9419
Epoch 9419/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9420
Epoch 9420/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9421
Epoch 9421/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9422
Epoch 9422/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9423
Epoch 9423/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9424
Epoch 9424/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9425
Epoch 9425/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9426
Epoch 9426/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9427
Epoch 9427/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9428
Epoch 9428/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9429
Epoch 9429/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9430
Epoch 9430/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9431
Epoch 9431/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9432
Epoch 9432/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9433
Epoch 9433/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9434
Epoch 9434/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9435
Epoch 9435/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9436
Epoch 9436/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9437
Epoch 9437/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9438
Epoch 9438/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9439
Epoch 9439/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9440
Epoch 9440/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9441
Epoch 9441/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9442
Epoch 9442/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9443
Epoch 9443/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9444
Epoch 9444/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9445
Epoch 9445/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9446
Epoch 9446/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9447
Epoch 9447/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9448
Epoch 9448/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9449
Epoch 9449/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9450
Epoch 9450/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9451
Epoch 9451/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9452
Epoch 9452/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9453
Epoch 9453/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9454
Epoch 9454/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9455
Epoch 9455/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9456
Epoch 9456/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9457
Epoch 9457/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9458
Epoch 9458/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9459
Epoch 9459/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9460
Epoch 9460/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9461
Epoch 9461/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9462
Epoch 9462/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9463
Epoch 9463/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9464
Epoch 9464/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9465
Epoch 9465/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9466
Epoch 9466/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9467
Epoch 9467/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9468
Epoch 9468/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9469
Epoch 9469/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9470
Epoch 9470/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9471
Epoch 9471/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9472
Epoch 9472/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9473
Epoch 9473/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9474
Epoch 9474/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9475
Epoch 9475/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9476
Epoch 9476/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9477
Epoch 9477/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9478
Epoch 9478/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9479
Epoch 9479/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9480
Epoch 9480/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9481
Epoch 9481/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9482
Epoch 9482/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9483
Epoch 9483/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9484
Epoch 9484/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9485
Epoch 9485/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9486
Epoch 9486/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9487
Epoch 9487/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9488
Epoch 9488/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9489
Epoch 9489/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9490
Epoch 9490/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9491
Epoch 9491/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9492
Epoch 9492/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9493
Epoch 9493/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9494
Epoch 9494/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9495
Epoch 9495/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9496
Epoch 9496/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9497
Epoch 9497/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9498
Epoch 9498/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9499
Epoch 9499/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9500
Epoch 9500/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9501
Epoch 9501/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9502
Epoch 9502/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9503
Epoch 9503/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9504
Epoch 9504/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9505
Epoch 9505/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9506
Epoch 9506/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9507
Epoch 9507/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9508
Epoch 9508/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9509
Epoch 9509/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9510
Epoch 9510/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9511
Epoch 9511/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9512
Epoch 9512/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9513
Epoch 9513/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9514
Epoch 9514/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9515
Epoch 9515/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9516
Epoch 9516/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9517
Epoch 9517/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9518
Epoch 9518/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9519
Epoch 9519/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9520
Epoch 9520/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9521
Epoch 9521/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9522
Epoch 9522/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9523
Epoch 9523/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9524
Epoch 9524/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9525
Epoch 9525/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9526
Epoch 9526/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9527
Epoch 9527/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9528
Epoch 9528/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9529
Epoch 9529/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9530
Epoch 9530/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9531
Epoch 9531/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9532
Epoch 9532/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9533
Epoch 9533/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9534
Epoch 9534/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9535
Epoch 9535/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9536
Epoch 9536/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9537
Epoch 9537/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9538
Epoch 9538/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9539
Epoch 9539/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9540
Epoch 9540/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9541
Epoch 9541/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9542
Epoch 9542/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9543
Epoch 9543/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9544
Epoch 9544/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9545
Epoch 9545/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9546
Epoch 9546/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9547
Epoch 9547/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9548
Epoch 9548/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9549
Epoch 9549/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9550
Epoch 9550/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9551
Epoch 9551/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9552
Epoch 9552/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9553
Epoch 9553/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9554
Epoch 9554/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9555
Epoch 9555/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9556
Epoch 9556/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9557
Epoch 9557/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9558
Epoch 9558/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9559
Epoch 9559/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9560
Epoch 9560/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9561
Epoch 9561/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9562
Epoch 9562/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9563
Epoch 9563/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9564
Epoch 9564/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9565
Epoch 9565/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9566
Epoch 9566/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9567
Epoch 9567/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9568
Epoch 9568/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9569
Epoch 9569/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9570
Epoch 9570/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9571
Epoch 9571/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9572
Epoch 9572/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9573
Epoch 9573/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9574
Epoch 9574/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9575
Epoch 9575/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9576
Epoch 9576/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9577
Epoch 9577/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9578
Epoch 9578/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9579
Epoch 9579/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9580
Epoch 9580/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9581
Epoch 9581/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9582
Epoch 9582/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9583
Epoch 9583/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9584
Epoch 9584/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9585
Epoch 9585/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9586
Epoch 9586/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9587
Epoch 9587/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9588
Epoch 9588/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9589
Epoch 9589/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9590
Epoch 9590/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9591
Epoch 9591/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9592
Epoch 9592/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9593
Epoch 9593/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9594
Epoch 9594/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9595
Epoch 9595/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9596
Epoch 9596/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9597
Epoch 9597/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9598
Epoch 9598/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9599
Epoch 9599/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9600
Epoch 9600/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9601
Epoch 9601/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9602
Epoch 9602/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9603
Epoch 9603/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9604
Epoch 9604/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9605
Epoch 9605/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9606
Epoch 9606/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9607
Epoch 9607/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9608
Epoch 9608/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9609
Epoch 9609/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9610
Epoch 9610/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9611
Epoch 9611/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9612
Epoch 9612/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9613
Epoch 9613/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9614
Epoch 9614/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9615
Epoch 9615/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9616
Epoch 9616/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9617
Epoch 9617/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9618
Epoch 9618/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9619
Epoch 9619/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9620
Epoch 9620/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9621
Epoch 9621/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9622
Epoch 9622/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9623
Epoch 9623/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9624
Epoch 9624/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9625
Epoch 9625/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9626
Epoch 9626/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9627
Epoch 9627/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9628
Epoch 9628/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9629
Epoch 9629/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9630
Epoch 9630/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9631
Epoch 9631/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9632
Epoch 9632/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9633
Epoch 9633/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9634
Epoch 9634/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9635
Epoch 9635/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9636
Epoch 9636/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9637
Epoch 9637/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9638
Epoch 9638/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9639
Epoch 9639/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9640
Epoch 9640/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9641
Epoch 9641/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9642
Epoch 9642/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9643
Epoch 9643/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9644
Epoch 9644/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9645
Epoch 9645/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9646
Epoch 9646/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9647
Epoch 9647/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9648
Epoch 9648/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9649
Epoch 9649/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9650
Epoch 9650/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9651
Epoch 9651/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9652
Epoch 9652/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9653
Epoch 9653/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9654
Epoch 9654/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9655
Epoch 9655/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9656
Epoch 9656/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9657
Epoch 9657/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9658
Epoch 9658/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9659
Epoch 9659/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9660
Epoch 9660/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9661
Epoch 9661/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9662
Epoch 9662/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9663
Epoch 9663/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9664
Epoch 9664/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9665
Epoch 9665/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9666
Epoch 9666/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9667
Epoch 9667/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9668
Epoch 9668/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9669
Epoch 9669/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9670
Epoch 9670/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9671
Epoch 9671/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9672
Epoch 9672/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9673
Epoch 9673/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9674
Epoch 9674/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9675
Epoch 9675/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9676
Epoch 9676/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9677
Epoch 9677/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9678
Epoch 9678/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9679
Epoch 9679/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9680
Epoch 9680/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9681
Epoch 9681/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9682
Epoch 9682/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9683
Epoch 9683/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9684
Epoch 9684/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9685
Epoch 9685/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9686
Epoch 9686/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9687
Epoch 9687/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9688
Epoch 9688/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9689
Epoch 9689/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9690
Epoch 9690/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9691
Epoch 9691/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9692
Epoch 9692/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9693
Epoch 9693/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9694
Epoch 9694/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9695
Epoch 9695/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9696
Epoch 9696/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9697
Epoch 9697/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9698
Epoch 9698/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9699
Epoch 9699/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9700
Epoch 9700/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9701
Epoch 9701/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9702
Epoch 9702/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9703
Epoch 9703/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9704
Epoch 9704/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9705
Epoch 9705/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9706
Epoch 9706/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9707
Epoch 9707/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9708
Epoch 9708/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9709
Epoch 9709/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9710
Epoch 9710/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9711
Epoch 9711/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9712
Epoch 9712/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9713
Epoch 9713/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9714
Epoch 9714/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9715
Epoch 9715/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9716
Epoch 9716/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9717
Epoch 9717/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9718
Epoch 9718/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9719
Epoch 9719/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9720
Epoch 9720/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9721
Epoch 9721/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9722
Epoch 9722/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9723
Epoch 9723/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9724
Epoch 9724/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9725
Epoch 9725/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9726
Epoch 9726/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9727
Epoch 9727/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9728
Epoch 9728/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9729
Epoch 9729/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9730
Epoch 9730/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9731
Epoch 9731/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9732
Epoch 9732/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9733
Epoch 9733/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9734
Epoch 9734/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9735
Epoch 9735/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9736
Epoch 9736/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9737
Epoch 9737/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9738
Epoch 9738/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9739
Epoch 9739/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9740
Epoch 9740/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9741
Epoch 9741/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9742
Epoch 9742/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9743
Epoch 9743/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9744
Epoch 9744/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9745
Epoch 9745/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9746
Epoch 9746/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9747
Epoch 9747/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9748
Epoch 9748/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9749
Epoch 9749/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9750
Epoch 9750/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9751
Epoch 9751/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9752
Epoch 9752/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9753
Epoch 9753/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9754
Epoch 9754/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9755
Epoch 9755/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9756
Epoch 9756/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9757
Epoch 9757/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9758
Epoch 9758/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9759
Epoch 9759/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9760
Epoch 9760/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9761
Epoch 9761/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9762
Epoch 9762/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9763
Epoch 9763/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9764
Epoch 9764/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9765
Epoch 9765/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9766
Epoch 9766/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9767
Epoch 9767/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9768
Epoch 9768/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9769
Epoch 9769/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9770
Epoch 9770/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9771
Epoch 9771/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9772
Epoch 9772/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9773
Epoch 9773/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9774
Epoch 9774/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9775
Epoch 9775/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9776
Epoch 9776/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9777
Epoch 9777/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9778
Epoch 9778/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9779
Epoch 9779/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9780
Epoch 9780/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9781
Epoch 9781/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9782
Epoch 9782/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9783
Epoch 9783/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9784
Epoch 9784/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9785
Epoch 9785/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9786
Epoch 9786/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9787
Epoch 9787/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9788
Epoch 9788/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9789
Epoch 9789/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9790
Epoch 9790/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9791
Epoch 9791/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9792
Epoch 9792/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9793
Epoch 9793/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9794
Epoch 9794/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9795
Epoch 9795/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9796
Epoch 9796/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9797
Epoch 9797/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9798
Epoch 9798/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9799
Epoch 9799/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9800
Epoch 9800/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9801
Epoch 9801/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9802
Epoch 9802/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9803
Epoch 9803/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9804
Epoch 9804/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9805
Epoch 9805/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9806
Epoch 9806/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9807
Epoch 9807/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9808
Epoch 9808/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9809
Epoch 9809/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9810
Epoch 9810/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9811
Epoch 9811/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9812
Epoch 9812/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9813
Epoch 9813/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9814
Epoch 9814/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9815
Epoch 9815/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9816
Epoch 9816/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9817
Epoch 9817/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9818
Epoch 9818/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9819
Epoch 9819/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9820
Epoch 9820/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9821
Epoch 9821/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9822
Epoch 9822/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9823
Epoch 9823/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9824
Epoch 9824/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9825
Epoch 9825/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9826
Epoch 9826/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9827
Epoch 9827/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9828
Epoch 9828/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9829
Epoch 9829/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9830
Epoch 9830/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9831
Epoch 9831/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9832
Epoch 9832/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9833
Epoch 9833/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9834
Epoch 9834/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9835
Epoch 9835/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9836
Epoch 9836/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9837
Epoch 9837/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9838
Epoch 9838/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9839
Epoch 9839/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9840
Epoch 9840/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9841
Epoch 9841/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9842
Epoch 9842/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9843
Epoch 9843/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9844
Epoch 9844/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9845
Epoch 9845/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9846
Epoch 9846/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9847
Epoch 9847/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9848
Epoch 9848/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9849
Epoch 9849/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9850
Epoch 9850/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9851
Epoch 9851/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9852
Epoch 9852/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9853
Epoch 9853/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9854
Epoch 9854/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9855
Epoch 9855/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9856
Epoch 9856/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9857
Epoch 9857/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9858
Epoch 9858/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9859
Epoch 9859/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9860
Epoch 9860/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9861
Epoch 9861/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9862
Epoch 9862/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9863
Epoch 9863/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9864
Epoch 9864/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9865
Epoch 9865/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9866
Epoch 9866/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9867
Epoch 9867/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9868
Epoch 9868/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9869
Epoch 9869/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9870
Epoch 9870/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9871
Epoch 9871/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9872
Epoch 9872/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9873
Epoch 9873/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9874
Epoch 9874/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9875
Epoch 9875/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9876
Epoch 9876/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9877
Epoch 9877/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9878
Epoch 9878/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9879
Epoch 9879/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9880
Epoch 9880/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9881
Epoch 9881/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9882
Epoch 9882/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9883
Epoch 9883/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9884
Epoch 9884/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9885
Epoch 9885/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9886
Epoch 9886/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9887
Epoch 9887/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9888
Epoch 9888/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9889
Epoch 9889/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9890
Epoch 9890/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9891
Epoch 9891/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9892
Epoch 9892/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9893
Epoch 9893/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9894
Epoch 9894/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9895
Epoch 9895/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9896
Epoch 9896/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9897
Epoch 9897/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9898
Epoch 9898/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9899
Epoch 9899/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9900
Epoch 9900/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9901
Epoch 9901/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9902
Epoch 9902/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9903
Epoch 9903/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9904
Epoch 9904/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9905
Epoch 9905/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9906
Epoch 9906/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9907
Epoch 9907/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9908
Epoch 9908/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9909
Epoch 9909/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9910
Epoch 9910/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9911
Epoch 9911/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9912
Epoch 9912/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9913
Epoch 9913/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9914
Epoch 9914/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9915
Epoch 9915/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9916
Epoch 9916/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9917
Epoch 9917/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9918
Epoch 9918/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9919
Epoch 9919/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9920
Epoch 9920/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9921
Epoch 9921/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9922
Epoch 9922/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9923
Epoch 9923/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9924
Epoch 9924/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9925
Epoch 9925/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9926
Epoch 9926/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9927
Epoch 9927/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9928
Epoch 9928/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9929
Epoch 9929/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9930
Epoch 9930/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9931
Epoch 9931/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9932
Epoch 9932/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9933
Epoch 9933/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9934
Epoch 9934/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9935
Epoch 9935/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9936
Epoch 9936/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9937
Epoch 9937/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9938
Epoch 9938/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9939
Epoch 9939/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9940
Epoch 9940/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9941
Epoch 9941/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9942
Epoch 9942/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9943
Epoch 9943/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9944
Epoch 9944/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9945
Epoch 9945/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9946
Epoch 9946/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9947
Epoch 9947/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9948
Epoch 9948/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9949
Epoch 9949/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9950
Epoch 9950/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9951
Epoch 9951/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9952
Epoch 9952/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9953
Epoch 9953/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9954
Epoch 9954/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9955
Epoch 9955/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9956
Epoch 9956/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9957
Epoch 9957/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9958
Epoch 9958/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9959
Epoch 9959/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9960
Epoch 9960/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9961
Epoch 9961/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9962
Epoch 9962/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9963
Epoch 9963/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9964
Epoch 9964/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9965
Epoch 9965/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9966
Epoch 9966/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9967
Epoch 9967/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9968
Epoch 9968/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9969
Epoch 9969/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9970
Epoch 9970/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9971
Epoch 9971/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9972
Epoch 9972/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9973
Epoch 9973/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9974
Epoch 9974/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9975
Epoch 9975/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9976
Epoch 9976/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9977
Epoch 9977/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9978
Epoch 9978/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9979
Epoch 9979/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9980
Epoch 9980/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9981
Epoch 9981/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9982
Epoch 9982/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9983
Epoch 9983/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9984
Epoch 9984/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9985
Epoch 9985/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9986
Epoch 9986/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9987
Epoch 9987/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9988
Epoch 9988/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9989
Epoch 9989/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9990
Epoch 9990/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9991
Epoch 9991/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9992
Epoch 9992/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9993
Epoch 9993/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9994
Epoch 9994/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9995
Epoch 9995/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9996
Epoch 9996/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9997
Epoch 9997/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9998
Epoch 9998/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 9999
Epoch 9999/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
epoch: 10000
Epoch 10000/10000 - Train Loss: 0.1419 - Val Loss: 0.0933
Final Test Loss: 0.11031876244860889
In [68]:
polynomial_reg_model_results
Out[68]:
{'Test MSE': 0.11031876244860889,
 'Test Variance': 0.003733228714103682,
 'Training SSE': 8.513092560649522,
 'Weights': array([ 0.0859916 , -0.11545697,  0.86592295]),
 'Test Predictions': array([0.7931043 , 0.082182  , 0.19026941, 0.08218143, 0.13451684,
        0.08528663, 0.08223546, 0.17811373, 0.34756428, 0.08367801,
        0.6869981 , 0.14492153, 0.0822117 , 0.08314143, 0.0821686 ,
        0.08694788, 0.08215544, 0.08318486, 0.08305041, 0.0821594 ,
        0.08236767, 0.28336672, 0.08498647, 0.08231548]),
 'Test Y': array([[7.58538927e-01],
        [7.87006838e-02],
        [2.37808128e-01],
        [2.29578003e-02],
        [3.36761364e-01],
        [5.50947363e-02],
        [7.85887320e-04],
        [6.20151563e-01],
        [8.35468912e-01],
        [2.83870065e-02],
        [8.54771745e-01],
        [4.56070406e-01],
        [9.47119118e-02],
        [0.00000000e+00],
        [7.52341228e-02],
        [1.83732082e-01],
        [1.91033017e-02],
        [8.95471626e-02],
        [3.61132972e-02],
        [9.70106145e-02],
        [5.40972834e-02],
        [3.09473750e-01],
        [2.44623230e-02],
        [7.82947449e-02]]),
 'Test X': array([[1.00000000e+00, 9.72782071e-01, 9.46304958e-01],
        [1.00000000e+00, 5.99564754e-02, 3.59477894e-03],
        [1.00000000e+00, 4.20034205e-01, 1.76428733e-01],
        [1.00000000e+00, 6.00059280e-02, 3.60071139e-03],
        [1.00000000e+00, 3.12600417e-01, 9.77190210e-02],
        [1.00000000e+00, 6.41446213e-03, 4.11453244e-05],
        [1.00000000e+00, 5.63340753e-02, 3.17352804e-03],
        [1.00000000e+00, 3.99579231e-01, 1.59663561e-01],
        [1.00000000e+00, 6.20307990e-01, 3.84782003e-01],
        [1.00000000e+00, 2.45638691e-02, 6.03383665e-04],
        [1.00000000e+00, 9.02435591e-01, 8.14389997e-01],
        [1.00000000e+00, 3.35923323e-01, 1.12844479e-01],
        [1.00000000e+00, 7.55737633e-02, 5.71139370e-03],
        [1.00000000e+00, 1.00623071e-01, 1.01250023e-02],
        [1.00000000e+00, 7.21028909e-02, 5.19882688e-03],
        [1.00000000e+00, 1.41157581e-01, 1.99254626e-02],
        [1.00000000e+00, 6.28780862e-02, 3.95365373e-03],
        [1.00000000e+00, 1.01353658e-01, 1.02725640e-02],
        [1.00000000e+00, 3.42956682e-02, 1.17619286e-03],
        [1.00000000e+00, 6.23163559e-02, 3.88332821e-03],
        [1.00000000e+00, 5.05598548e-02, 2.55629891e-03],
        [1.00000000e+00, 5.48725725e-01, 3.01099921e-01],
        [1.00000000e+00, 9.36312392e-03, 8.76680896e-05],
        [1.00000000e+00, 8.07800191e-02, 6.52541148e-03]]),
 'Train X': array([[1.00000000e+00, 8.61463088e-01, 7.42118652e-01],
        [1.00000000e+00, 2.68348829e-01, 7.20110938e-02],
        [1.00000000e+00, 9.64383061e-02, 9.30034688e-03],
        [1.00000000e+00, 2.66796568e-02, 7.11804085e-04],
        [1.00000000e+00, 1.92556544e-01, 3.70780227e-02],
        [1.00000000e+00, 3.85285116e-02, 1.48444620e-03],
        [1.00000000e+00, 7.93100734e-03, 6.29008774e-05],
        [1.00000000e+00, 7.38540928e-01, 5.45442702e-01],
        [1.00000000e+00, 1.04281926e-01, 1.08747201e-02],
        [1.00000000e+00, 6.74373693e-01, 4.54779878e-01],
        [1.00000000e+00, 3.51974378e-01, 1.23885963e-01],
        [1.00000000e+00, 5.92229608e-01, 3.50735908e-01],
        [1.00000000e+00, 5.43545992e-02, 2.95442245e-03],
        [1.00000000e+00, 6.29183034e-01, 3.95871290e-01],
        [1.00000000e+00, 1.97664423e-02, 3.90712242e-04],
        [1.00000000e+00, 4.52564374e-01, 2.04814513e-01],
        [1.00000000e+00, 3.08819516e-01, 9.53694932e-02],
        [1.00000000e+00, 4.58007643e-01, 2.09771001e-01],
        [1.00000000e+00, 5.91741105e-02, 3.50157536e-03],
        [1.00000000e+00, 1.93161915e-02, 3.73115256e-04],
        [1.00000000e+00, 9.26229881e-01, 8.57901793e-01],
        [1.00000000e+00, 5.89760889e-02, 3.47817907e-03],
        [1.00000000e+00, 6.19657816e-01, 3.83975809e-01],
        [1.00000000e+00, 3.84466190e-02, 1.47814251e-03],
        [1.00000000e+00, 7.37533173e-02, 5.43955181e-03],
        [1.00000000e+00, 7.35861190e-01, 5.41491692e-01],
        [1.00000000e+00, 9.90035520e-01, 9.80170331e-01],
        [1.00000000e+00, 2.23705529e-01, 5.00441637e-02],
        [1.00000000e+00, 7.96650434e-01, 6.34651915e-01],
        [1.00000000e+00, 1.31736868e-01, 1.73546024e-02],
        [1.00000000e+00, 1.75810195e-02, 3.09092247e-04],
        [1.00000000e+00, 1.44776388e-01, 2.09602026e-02],
        [1.00000000e+00, 1.52506204e-02, 2.32581423e-04],
        [1.00000000e+00, 1.92567005e-02, 3.70820515e-04],
        [1.00000000e+00, 4.11691304e-01, 1.69489730e-01],
        [1.00000000e+00, 9.81189535e-03, 9.62732903e-05],
        [1.00000000e+00, 8.44166843e-02, 7.12617659e-03],
        [1.00000000e+00, 7.06324169e-02, 4.98893832e-03],
        [1.00000000e+00, 6.39235007e-01, 4.08621394e-01],
        [1.00000000e+00, 5.18429374e-01, 2.68769016e-01],
        [1.00000000e+00, 5.19186696e-01, 2.69554825e-01],
        [1.00000000e+00, 6.43749455e-01, 4.14413361e-01],
        [1.00000000e+00, 1.02404314e-01, 1.04866435e-02],
        [1.00000000e+00, 5.22851680e-01, 2.73373879e-01],
        [1.00000000e+00, 7.87863834e-02, 6.20729421e-03],
        [1.00000000e+00, 5.86199882e-02, 3.43630302e-03],
        [1.00000000e+00, 1.02313017e-01, 1.04679534e-02],
        [1.00000000e+00, 4.20633341e-01, 1.76932408e-01],
        [1.00000000e+00, 4.99037630e-02, 2.49038556e-03],
        [1.00000000e+00, 1.60617164e-01, 2.57978733e-02],
        [1.00000000e+00, 1.42312848e-01, 2.02529466e-02],
        [1.00000000e+00, 5.56222754e-01, 3.09383752e-01],
        [1.00000000e+00, 1.34743436e-01, 1.81557935e-02],
        [1.00000000e+00, 2.87139745e-02, 8.24492333e-04],
        [1.00000000e+00, 3.13229564e-01, 9.81127597e-02],
        [1.00000000e+00, 6.86106736e-02, 4.70742453e-03],
        [1.00000000e+00, 1.62000990e-01, 2.62443208e-02],
        [1.00000000e+00, 3.81356067e-01, 1.45432450e-01],
        [1.00000000e+00, 1.00000000e+00, 1.00000000e+00],
        [1.00000000e+00, 5.02743402e-02, 2.52750928e-03]]),
 'Train Y': array([[0.68203824],
        [0.73499224],
        [0.08589017],
        [0.06240275],
        [0.51953776],
        [0.04693459],
        [0.01165836],
        [0.50621368],
        [0.07636689],
        [0.29646631],
        [0.80182614],
        [0.36849378],
        [0.07520368],
        [0.78460822],
        [0.01359269],
        [0.75030091],
        [0.89660338],
        [0.20356262],
        [0.00334834],
        [0.07701797],
        [0.56717916],
        [0.84858123],
        [0.39373268],
        [0.07778869],
        [0.05223698],
        [0.45238378],
        [0.67752346],
        [0.3589351 ],
        [0.94539646],
        [0.44676435],
        [0.01339841],
        [0.79718606],
        [0.06117189],
        [0.07855344],
        [0.34274477],
        [0.06194675],
        [0.00446816],
        [0.02364215],
        [0.11959039],
        [1.        ],
        [0.68130575],
        [0.31594137],
        [0.07255021],
        [0.62744653],
        [0.0296656 ],
        [0.02018884],
        [0.05461548],
        [0.16407974],
        [0.02175596],
        [0.20153555],
        [0.32102683],
        [0.39451291],
        [0.38199484],
        [0.02064312],
        [0.38606495],
        [0.09505313],
        [0.20273183],
        [0.59330134],
        [0.73244142],
        [0.04186107]]),
 'Train Predictions': array([0.62914725, 0.11736491, 0.0829105 , 0.08352761, 0.09586631,
        0.08282863, 0.08513037, 0.47303325, 0.08336819, 0.40193478,
        0.1526294 , 0.32132483, 0.08227428, 0.35614206, 0.08404775,
        0.21109347, 0.13291886, 0.21475694, 0.08219163, 0.0840845 ,
        0.72192875, 0.08219423, 0.34694124, 0.08283262, 0.08218649,
        0.46992137, 0.82043708, 0.10349762, 0.54357241, 0.0858094 ,
        0.08422939, 0.08742607, 0.0844322 , 0.08408938, 0.18522401,
        0.08494211, 0.08241582, 0.08215663, 0.3660221 , 0.25886857,
        0.25946158, 0.37051627, 0.08324893, 0.26234544, 0.0822702 ,
        0.08219908, 0.08324329, 0.19063638, 0.08238634, 0.08978619,
        0.08709808, 0.28967429, 0.08615604, 0.08339031, 0.13478515,
        0.08214628, 0.09001301, 0.16789467, 0.83645757, 0.0823757 ])}
In [69]:
from sklearn.metrics import r2_score
r2_score(polynomial_reg_model_results['Test Y'], polynomial_reg_model_results['Test Predictions'])
Out[69]:
0.633258739582736
In [52]:
def plot_results(features, actual_values, predicted_values):
    plt.scatter(features[:, 1], actual_values, label='Actual Values')
    plt.scatter(features[:, 1], predicted_values, color='red', label='Predicted Values')
    plt.xlabel('Feature Values')
    plt.ylabel('Target Values')
    plt.title('Actual vs Predicted Values')
    plt.legend()
    plt.show()
In [53]:
plot_results(polynomial_reg_model_results['Test X'],
             polynomial_reg_model_results['Test Y'],
             polynomial_reg_model_results['Test Predictions'])
In [54]:
plot_results(polynomial_reg_model_results['Train X'],
             polynomial_reg_model_results['Train Y'],
             polynomial_reg_model_results['Train Predictions'])
In [44]:
plot_results(linear_reg_model_results['Test X'],
             linear_reg_model_results['Test Y'],
             linear_reg_model_results['Test Predictions'])
In [45]:
plot_results(linear_reg_model_results['Train X'],
             linear_reg_model_results['Train Y'],
             linear_reg_model_results['Train Predictions'])
In [18]:
def data_loader_1(df):
    column_names = ["x", "y"]
    df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
    
    scaler = MinMaxScaler()
    X = scaler.fit_transform(df["x"].values.reshape(-1,1))
    Y = scaler.fit_transform(df["y"].values.reshape(-1,1))
    
    # Assuming you have your features X and labels Y
    X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
    
    return [X_train, Y_train, X_test, Y_test]

def data_loader_2(df):
    column_names = ["x", "y"]
    df = pd.read_csv(r"C:\Users\fatma\OneDrive\Masaüstü\regression_data.dat", sep=' ', names=column_names)
    
    df["x2"] = df['x'] ** 2
    y = df["y"]
    x = df.drop("y", axis=1)  

    scaler = MinMaxScaler()
    X = scaler.fit_transform(x)
    Y = scaler.fit_transform(y.values.reshape(-1,1))
    
    # Assuming you have your features X and labels Y
    X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2)
    
    return [X_train, Y_train, X_test, Y_test]

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def parameter_init(input_size, J_initial):
    #Initiallize The Parameters
    W1 = np.random.rand(J_initial, input_size)
    b1 = np.zeros((J_initial, 1))
    W2 = np.random.rand(1, J_initial)
    b2 = np.zeros((1, 1))
    return  W1, b1, W2, b2
    
def forwardprop(W1, X, W2, Y, b1, b2, criterion):
    #Forward Propagation
    Z1 = np.dot(W1, X.reshape(-1, 1)) + b1
    A1 = sigmoid(Z1)
    
    Z2 = np.dot(W2, A1) + b2
    A2 = Z2  # Linear activation for regression
    
    #Compute The Loss with Mean Squared Error:
    loss = criterion(Y, A2)
    return Z1, A1, Z2, A2, loss

def backprop(Z1, A1, Z2, A2, X, Y, W1, b1, W2, b2, learning_rate):
    #Backpropagation:
    # Compute gradients for the output layer
    dZ2 = A2 - Y.reshape(-1, 1)
    dW2 = np.dot(dZ2, A1.T)
    db2 = np.sum(dZ2, axis=1, keepdims=True)

    # Compute gradients for the hidden layer
    dZ1 = np.dot(W2.T, dZ2) * (A1 * (1 - A1))
    dW1 = np.dot(dZ1, X.reshape(-1, 1).T)
    db1 = np.sum(dZ1, axis=1, keepdims=True)

    #Update The Weights:
    W1 -= learning_rate * dW1
    b1 -= learning_rate * db1
    W2 -= learning_rate * dW2
    b2 -= learning_rate * db2
    return W1, b1, W2, b2
In [72]:
from statistics import mean
def training_mlp(data_loader, df, input_size, hidden_size, num_epochs, learning_rate, criterion, lr_multip):
    #Load the data.
    data = data_loader(df)
    hidden_size_counter = 1
    X_train = data[0]
    Y_train = data[1]
    X_test = data[2]
    Y_test = data[3]
    
    best_train_loss = float('inf')
    test_loss_previous = float('inf')
    test_loss = 100
    #initial_learning_rate = learning_rate
    while test_loss < test_loss_previous: 
        W1, b1, W2, b2 = parameter_init(input_size, hidden_size)
        learning_rate = initial_learning_rate
        for epoch in range(num_epochs):
            total_loss = 0
            for X,Y in zip(X_train,Y_train):
                # Forward propagation & Loss
                Z1, A1, Z2, A2, loss = forwardprop(W1, X, W2, Y, b1, b2, criterion)
                total_loss += loss
                # Backward propagation & Updating The Weights
                W1, b1, W2, b2 = backprop(Z1, A1, Z2, A2, X, Y, W1, b1, W2, b2, learning_rate)
            #Update the learning rate.
            learning_rate = learning_rate * lr_multip
            if epoch % 100 == 0:
                print(f"Epoch {epoch}/{num_epochs} - Loss: {loss}")

            avg_loss = (total_loss)
            if avg_loss < best_train_loss + 0.001:
                        best_train_loss = loss
                        # Save the model weights
                        # Update the best weights
                        best_weights = np.concatenate([W1.flatten(), b1.flatten(), W2.flatten(), b2.flatten()])
                        np.save('best_weights.npy', best_weights)
                        print("New best model saved." + f"Epoch {epoch + 1}" +f"With loss {best_train_loss}")
                      
        train_predictions = [forwardprop(W1, X, W2, Y, b1, b2, criterion)[2] for X, Y in zip(X_train, Y_train)]
        
        test_loss_previous = test_loss

        test_predictions = [forwardprop(W1, X, W2, Y, b1, b2, criterion)[2] for X, Y in zip(X_test, Y_test)]
        test_loss = mean([forwardprop(W1, X, W2, Y, b1, b2, criterion)[4] for X, Y in zip(X_test, Y_test)])
        test_variance = np.var([forwardprop(W1, X, W2, Y, b1, b2, criterion)[4] for X, Y in zip(X_test, Y_test)])

        print("Final Test Error:", test_loss)
        print("Final Test Variance:", test_variance)
        print("Hidden Layer Size:", hidden_size)
        
        hidden_size += 1
        hidden_size_counter += 1
        
    return dict([('Test MSE', test_loss),
                 ('Test Variance', test_variance),
                 ('Training SSE', avg_loss),
                 ('Weights', best_weights),
                ('Test Predictions', test_predictions),
                ('Test Y',  data[3]),
                ('Test X', data[2]),
                ('Train X', data[0]),
                ('Train Y' , data[1]),
                ('Train Predictions',train_predictions),
                ('Hidden Layer Size', hidden_size)])
In [73]:
mlp_model_results = training_mlp(data_loader_1, df, 1, 3, 5000, 0.5, mean_sqaured_error, 0.9)
Epoch 0/5000 - Loss: 0.0037868632675621934
New best model saved.Epoch 1With loss 0.0037868632675621934
Epoch 100/5000 - Loss: 0.0017577716135764759
Epoch 200/5000 - Loss: 0.0019821771927129943
Epoch 300/5000 - Loss: 0.0023266099972085764
Epoch 400/5000 - Loss: 0.002485535526055076
Epoch 500/5000 - Loss: 0.002584423383535972
Epoch 600/5000 - Loss: 0.0026626099016677186
Epoch 700/5000 - Loss: 0.002732659786093844
Epoch 800/5000 - Loss: 0.0027985491419221555
Epoch 900/5000 - Loss: 0.0028613904227460132
Epoch 1000/5000 - Loss: 0.0029213258067322984
Epoch 1100/5000 - Loss: 0.002978187444246942
Epoch 1200/5000 - Loss: 0.003031740373256954
Epoch 1300/5000 - Loss: 0.0030817758342781775
Epoch 1400/5000 - Loss: 0.0031281467624036073
Epoch 1500/5000 - Loss: 0.0031707784905783036
Epoch 1600/5000 - Loss: 0.0032096675044312037
Epoch 1700/5000 - Loss: 0.003244873969611369
Epoch 1800/5000 - Loss: 0.003276511108737396
Epoch 1900/5000 - Loss: 0.0033047333699290564
Epoch 2000/5000 - Loss: 0.0033297246931812408
Epoch 2100/5000 - Loss: 0.0033516877257277825
Epoch 2200/5000 - Loss: 0.0033708344786377944
Epoch 2300/5000 - Loss: 0.003387378638611363
Epoch 2400/5000 - Loss: 0.003401529547646655
Epoch 2500/5000 - Loss: 0.0034134877316238828
Epoch 2600/5000 - Loss: 0.0034234417847172666
Epoch 2700/5000 - Loss: 0.0034315663855990536
Epoch 2800/5000 - Loss: 0.003438021219891602
Epoch 2900/5000 - Loss: 0.00344295059972153
Epoch 3000/5000 - Loss: 0.0034464835967985457
Epoch 3100/5000 - Loss: 0.0034487345341643323
Epoch 3200/5000 - Loss: 0.003449803709895358
Epoch 3300/5000 - Loss: 0.0034497782515565674
Epoch 3400/5000 - Loss: 0.0034487330222442865
Epoch 3500/5000 - Loss: 0.0034467315175149855
Epoch 3600/5000 - Loss: 0.0034438267076754123
Epoch 3700/5000 - Loss: 0.0034400617922985843
Epoch 3800/5000 - Loss: 0.0034354708439649677
Epoch 3900/5000 - Loss: 0.00343007932661831
Epoch 4000/5000 - Loss: 0.0034239044810298303
Epoch 4100/5000 - Loss: 0.0034169555761052657
Epoch 4200/5000 - Loss: 0.0034092340305691797
Epoch 4300/5000 - Loss: 0.0034007334153980467
Epoch 4400/5000 - Loss: 0.0033914393538409713
Epoch 4500/5000 - Loss: 0.0033813293437328362
Epoch 4600/5000 - Loss: 0.003370372537103625
Epoch 4700/5000 - Loss: 0.0033585295261351934
Epoch 4800/5000 - Loss: 0.00334575220398636
Epoch 4900/5000 - Loss: 0.00333198379585357
Final Test Error: 0.05758651483223049
Final Test Variance: 0.02323155962637371
Hidden Layer Size: 3
Epoch 0/5000 - Loss: 0.0017952897517376045
Epoch 100/5000 - Loss: 0.00935991911155352
Epoch 200/5000 - Loss: 0.015775720883914615
Epoch 300/5000 - Loss: 0.017168346368646187
Epoch 400/5000 - Loss: 0.017555854390188353
Epoch 500/5000 - Loss: 0.017633873781149664
Epoch 600/5000 - Loss: 0.01759562672229757
Epoch 700/5000 - Loss: 0.01750780420893938
Epoch 800/5000 - Loss: 0.017398347340244567
Epoch 900/5000 - Loss: 0.017275852931952104
Epoch 1000/5000 - Loss: 0.017137983426256272
Epoch 1100/5000 - Loss: 0.016979400811064815
Epoch 1200/5000 - Loss: 0.01679602285204293
Epoch 1300/5000 - Loss: 0.016586555230690306
Epoch 1400/5000 - Loss: 0.01635346193479936
Epoch 1500/5000 - Loss: 0.016103137989905876
Epoch 1600/5000 - Loss: 0.01584400647140351
Epoch 1700/5000 - Loss: 0.015583124028473125
Epoch 1800/5000 - Loss: 0.015324032102049492
Epoch 1900/5000 - Loss: 0.01506724076482882
Epoch 2000/5000 - Loss: 0.014811950793659032
Epoch 2100/5000 - Loss: 0.014557339257563048
Epoch 2200/5000 - Loss: 0.014303025126137243
Epoch 2300/5000 - Loss: 0.014049057149619409
Epoch 2400/5000 - Loss: 0.013795765443009417
Epoch 2500/5000 - Loss: 0.013543630949908457
Epoch 2600/5000 - Loss: 0.0132932038698189
Epoch 2700/5000 - Loss: 0.013045058452284505
Epoch 2800/5000 - Loss: 0.01279976728539921
Epoch 2900/5000 - Loss: 0.012557884573374077
Epoch 3000/5000 - Loss: 0.012319933620710133
Epoch 3100/5000 - Loss: 0.012086396840492002
Epoch 3200/5000 - Loss: 0.011857707889802154
Epoch 3300/5000 - Loss: 0.011634245932201222
Epoch 3400/5000 - Loss: 0.011416332058985061
Epoch 3500/5000 - Loss: 0.011204227805844751
Epoch 3600/5000 - Loss: 0.010998135583265702
Epoch 3700/5000 - Loss: 0.01079820074269704
Epoch 3800/5000 - Loss: 0.010604514943117411
Epoch 3900/5000 - Loss: 0.010417120465416789
Epoch 4000/5000 - Loss: 0.01023601513794639
Epoch 4100/5000 - Loss: 0.010061157575226057
Epoch 4200/5000 - Loss: 0.009892472482709814
Epoch 4300/5000 - Loss: 0.009729855835096536
Epoch 4400/5000 - Loss: 0.009573179787848945
Epoch 4500/5000 - Loss: 0.009422297227708026
Epoch 4600/5000 - Loss: 0.009277045906373602
Epoch 4700/5000 - Loss: 0.009137252131866636
Epoch 4800/5000 - Loss: 0.009002734014949465
Epoch 4900/5000 - Loss: 0.00887330428434252
Final Test Error: 0.05864729063623083
Final Test Variance: 0.026595870677969657
Hidden Layer Size: 4
In [74]:
mlp_model_results
Out[74]:
{'Test MSE': 0.05864729063623083,
 'Test Variance': 0.026595870677969657,
 'Training SSE': 3.200119851974068,
 'Weights': array([ 0.98615377,  0.94907831,  0.60077753, -0.25148248, -0.29301353,
        -0.27523531,  0.43465059,  0.67218129,  0.56717331, -0.69322984]),
 'Test Predictions': [array([[0.59132119]]),
  array([[0.53728938]]),
  array([[0.02135268]]),
  array([[-0.10233612]]),
  array([[0.52443095]]),
  array([[0.53826283]]),
  array([[-0.02615479]]),
  array([[0.64045184]]),
  array([[-0.13014551]]),
  array([[0.1942877]]),
  array([[0.49412192]]),
  array([[0.55583055]]),
  array([[-0.03637553]]),
  array([[-0.10507344]]),
  array([[-0.07664909]]),
  array([[-0.11942372]]),
  array([[0.48179823]]),
  array([[-0.12154715]]),
  array([[0.00110623]]),
  array([[0.58049511]])],
 'Test Y': array([[0.43492689],
        [0.30947375],
        [0.0296656 ],
        [0.07701797],
        [0.75030091],
        [0.39451291],
        [0.84858123],
        [0.75853893],
        [0.04294711],
        [0.18373208],
        [0.45607041],
        [0.29646631],
        [0.07520368],
        [0.01339841],
        [0.0361133 ],
        [0.01165836],
        [0.33676136],
        [0.05509474],
        [0.02364215],
        [0.50538683]]),
 'Test X': array([[0.83270938],
        [0.54872572],
        [0.07878638],
        [0.01931619],
        [0.45256437],
        [0.55622275],
        [0.05897609],
        [0.97278207],
        [0.        ],
        [0.14115758],
        [0.33592332],
        [0.67437369],
        [0.0543546 ],
        [0.01758102],
        [0.03429567],
        [0.00793101],
        [0.31260042],
        [0.00641446],
        [0.07063242],
        [0.79207628]]),
 'Train X': array([[0.08078002],
        [0.47092934],
        [0.05633408],
        [0.10428193],
        [0.73854093],
        [0.64374946],
        [0.39957923],
        [0.73586119],
        [0.08441668],
        [0.31322956],
        [0.32862664],
        [0.04990376],
        [0.22370553],
        [0.5249551 ],
        [0.45800764],
        [0.0098119 ],
        [0.06265766],
        [0.10240431],
        [0.00936312],
        [0.16200099],
        [0.01525062],
        [0.03844662],
        [0.13474344],
        [0.02871397],
        [0.90243559],
        [0.16061716],
        [0.92622988],
        [0.05995648],
        [0.04120265],
        [0.52285168],
        [0.59222961],
        [0.00104294],
        [0.10062307],
        [0.61965782],
        [0.05917411],
        [0.06231636],
        [0.05188673],
        [0.51842937],
        [0.70566755],
        [0.86146309],
        [0.4116913 ],
        [0.00513842],
        [0.35197438],
        [0.07210289],
        [0.14231285],
        [0.26834883],
        [0.05861999],
        [0.14477639],
        [0.4200342 ],
        [0.62030799],
        [0.05055985],
        [0.02456387],
        [0.01976644],
        [0.06861067],
        [0.07375332],
        [0.06000593],
        [1.        ],
        [0.09643831],
        [0.42063334],
        [0.63923501],
        [0.05027434],
        [0.5191867 ],
        [0.02667966],
        [0.62918303],
        [0.03577998],
        [0.03852851],
        [0.30881952],
        [0.10485454],
        [0.19255654],
        [0.04747488],
        [0.0192567 ],
        [0.07557376],
        [0.06287809],
        [0.02512158],
        [0.13173687],
        [0.38135607],
        [0.79665043],
        [0.99003552],
        [0.10135366],
        [0.10231302]]),
 'Train Y': array([[7.82947449e-02],
        [4.19046628e-01],
        [7.85887320e-04],
        [7.63668887e-02],
        [5.06213678e-01],
        [3.15941367e-01],
        [6.20151563e-01],
        [4.52383784e-01],
        [4.46816029e-03],
        [3.86064947e-01],
        [5.52796438e-01],
        [2.17559621e-02],
        [3.58935097e-01],
        [2.69683236e-01],
        [2.03562615e-01],
        [6.19467514e-02],
        [3.59960866e-02],
        [7.25502130e-02],
        [2.44623230e-02],
        [2.02731826e-01],
        [6.11718873e-02],
        [7.77886864e-02],
        [3.81994837e-01],
        [2.06431190e-02],
        [8.54771745e-01],
        [2.01535550e-01],
        [5.67179157e-01],
        [7.87006838e-02],
        [2.72891307e-02],
        [6.27446531e-01],
        [3.68493776e-01],
        [5.63595790e-02],
        [0.00000000e+00],
        [3.93732683e-01],
        [3.34833912e-03],
        [9.70106145e-02],
        [2.46108841e-02],
        [1.00000000e+00],
        [3.62380724e-01],
        [6.82038242e-01],
        [3.42744766e-01],
        [5.34610696e-02],
        [8.01826139e-01],
        [7.52341228e-02],
        [3.21026829e-01],
        [7.34992242e-01],
        [2.01888395e-02],
        [7.97186056e-01],
        [2.37808128e-01],
        [8.35468912e-01],
        [5.40972834e-02],
        [2.83870065e-02],
        [1.35926853e-02],
        [9.50531270e-02],
        [5.22369826e-02],
        [2.29578003e-02],
        [7.32441420e-01],
        [8.58901724e-02],
        [1.64079741e-01],
        [1.19590388e-01],
        [4.18610653e-02],
        [6.81305752e-01],
        [6.24027501e-02],
        [7.84608218e-01],
        [3.02510491e-02],
        [4.69345945e-02],
        [8.96603381e-01],
        [5.12808922e-02],
        [5.19537760e-01],
        [1.02372670e-02],
        [7.85534374e-02],
        [9.47119118e-02],
        [1.91033017e-02],
        [6.04587131e-02],
        [4.46764351e-01],
        [5.93301340e-01],
        [9.45396456e-01],
        [6.77523461e-01],
        [8.95471626e-02],
        [5.46154775e-02]]),
 'Train Predictions': [array([[0.02643817]]),
  array([[0.52711518]]),
  array([[-0.03203989]]),
  array([[0.08965072]]),
  array([[0.56815627]]),
  array([[0.55074231]]),
  array([[0.51470564]]),
  array([[0.56759101]]),
  array([[0.03584242]]),
  array([[0.48217923]]),
  array([[0.4906383]]),
  array([[-0.04589049]]),
  array([[0.38588441]]),
  array([[0.53423999]]),
  array([[0.52525026]]),
  array([[-0.11674109]]),
  array([[-0.01776952]]),
  array([[0.08442066]]),
  array([[-0.11738611]]),
  array([[0.25117733]]),
  array([[-0.10867364]]),
  array([[-0.06886825]]),
  array([[0.17617127]]),
  array([[-0.08665592]]),
  array([[0.61329092]]),
  array([[0.24752716]]),
  array([[0.62187857]]),
  array([[-0.02394267]]),
  array([[-0.063542]]),
  array([[0.53397114]]),
  array([[0.54309956]]),
  array([[-0.12878907]]),
  array([[0.07948188]]),
  array([[0.54704082]]),
  array([[-0.02570921]]),
  array([[-0.01855581]]),
  array([[-0.04169152]]),
  array([[0.53340552]]),
  array([[0.56153726]]),
  array([[0.59983184]]),
  array([[0.51729812]]),
  array([[-0.12330674]]),
  array([[0.50078601]]),
  array([[0.00468916]]),
  array([[0.19752878]]),
  array([[0.44608328]]),
  array([[-0.02695451]]),
  array([[0.20441319]]),
  array([[0.518932]]),
  array([[0.54713757]]),
  array([[-0.04450838]]),
  array([[-0.09375963]]),
  array([[-0.10161787]]),
  array([[-0.00376886]]),
  array([[0.00874708]]),
  array([[-0.02383068]]),
  array([[0.65246661]]),
  array([[0.06797606]]),
  array([[0.51904512]]),
  array([[0.55002976]]),
  array([[-0.04511072]]),
  array([[0.53350244]]),
  array([[-0.09017373]]),
  array([[0.54847516]]),
  array([[-0.07390007]]),
  array([[-0.06871183]]),
  array([[0.47944515]]),
  array([[0.09125034]]),
  array([[0.3253351]]),
  array([[-0.05094501]]),
  array([[-0.10243077]]),
  array([[0.01326698]]),
  array([[-0.01726075]]),
  array([[-0.09282158]]),
  array([[0.16762436]]),
  array([[0.51019369]]),
  array([[0.58164744]]),
  array([[0.64796534]]),
  array([[0.08150475]]),
  array([[0.08416697]])],
 'Hidden Layer Size': 5}
In [75]:
def plot_results(features, actual_values, predicted_values):
    features = features.flatten()
    actual_values = actual_values.flatten()
    plt.scatter(features, actual_values, label='Actual Values')
    plt.scatter(features, predicted_values, color='red', label='Predicted Values')
    plt.xlabel('Feature Values')
    plt.ylabel('Target Values')
    plt.title('Actual vs Predicted Values')
    plt.legend()
    plt.show()
In [76]:
plot_results(mlp_model_results['Train X'],
             mlp_model_results['Train Y'],
             mlp_model_results['Train Predictions'])
In [82]:
plot_results(mlp_model_results['Test X'],
             mlp_model_results['Test Y'],
             mlp_model_results['Test Predictions'])
In [77]:
mlp_model_results_2 = training_mlp(data_loader_2, df, 2, 3, 5000, 0.5, mean_sqaured_error, 0.9)
Epoch 0/5000 - Loss: 0.5450815600021557
New best model saved.Epoch 1With loss 0.5450815600021557
Epoch 100/5000 - Loss: 0.18713630232713924
Epoch 200/5000 - Loss: 0.18053772442084415
Epoch 300/5000 - Loss: 0.17795515962728367
Epoch 400/5000 - Loss: 0.17711674501785732
Epoch 500/5000 - Loss: 0.16730020932845707
Epoch 600/5000 - Loss: 0.15731727003887833
Epoch 700/5000 - Loss: 0.1506840110144563
Epoch 800/5000 - Loss: 0.14358152412546912
Epoch 900/5000 - Loss: 0.13680499294448473
Epoch 1000/5000 - Loss: 0.1310397072572069
Epoch 1100/5000 - Loss: 0.12632164911712312
Epoch 1200/5000 - Loss: 0.1225266270462016
Epoch 1300/5000 - Loss: 0.1194900986081265
Epoch 1400/5000 - Loss: 0.11705523095783989
Epoch 1500/5000 - Loss: 0.11508979649536408
Epoch 1600/5000 - Loss: 0.11348860020423605
Epoch 1700/5000 - Loss: 0.11217029119964181
Epoch 1800/5000 - Loss: 0.11107273977618108
Epoch 1900/5000 - Loss: 0.110148662931895
Epoch 2000/5000 - Loss: 0.10936201603176425
Epoch 2100/5000 - Loss: 0.10868519246840201
Epoch 2200/5000 - Loss: 0.10809691297197226
Epoch 2300/5000 - Loss: 0.10758065568213057
Epoch 2400/5000 - Loss: 0.1071234936066008
Epoch 2500/5000 - Loss: 0.10671523317844346
Epoch 2600/5000 - Loss: 0.10634777359804518
Epoch 2700/5000 - Loss: 0.1060146278266306
Epoch 2800/5000 - Loss: 0.10571056221027748
Epoch 2900/5000 - Loss: 0.10543132356050497
Epoch 3000/5000 - Loss: 0.10517343108497668
Epoch 3100/5000 - Loss: 0.10493401671472512
Epoch 3200/5000 - Loss: 0.10471070178791177
Epoch 3300/5000 - Loss: 0.10450150122398119
Epoch 3400/5000 - Loss: 0.10430474861493655
Epoch 3500/5000 - Loss: 0.10411903732689629
Epoch 3600/5000 - Loss: 0.10394317392421656
Epoch 3700/5000 - Loss: 0.10377614112656088
Epoch 3800/5000 - Loss: 0.10361706817552534
Epoch 3900/5000 - Loss: 0.10346520698506304
Epoch 4000/5000 - Loss: 0.10331991282424466
Epoch 4100/5000 - Loss: 0.10318062856436404
Epoch 4200/5000 - Loss: 0.1030468717385989
Epoch 4300/5000 - Loss: 0.10291822382850166
Epoch 4400/5000 - Loss: 0.10279432132005627
Epoch 4500/5000 - Loss: 0.10267484817207254
Epoch 4600/5000 - Loss: 0.102559529418055
Epoch 4700/5000 - Loss: 0.10244812568432447
Epoch 4800/5000 - Loss: 0.10234042845575733
Epoch 4900/5000 - Loss: 0.10223625595877625
Final Test Error: 0.0488531253964141
Final Test Variance: 0.003073457338854577
Hidden Layer Size: 3
Epoch 0/5000 - Loss: 0.6207398653735822
Epoch 100/5000 - Loss: 0.18877245600471115
Epoch 200/5000 - Loss: 0.18121416908268187
Epoch 300/5000 - Loss: 0.17891992515338906
Epoch 400/5000 - Loss: 0.18051374333682257
Epoch 500/5000 - Loss: 0.17388148118636934
Epoch 600/5000 - Loss: 0.1616556766732332
Epoch 700/5000 - Loss: 0.15285500048162554
Epoch 800/5000 - Loss: 0.146069660436672
Epoch 900/5000 - Loss: 0.13941721544503385
Epoch 1000/5000 - Loss: 0.13340753744405184
Epoch 1100/5000 - Loss: 0.12831573329484938
Epoch 1200/5000 - Loss: 0.12410808338487968
Epoch 1300/5000 - Loss: 0.12067718141686076
Epoch 1400/5000 - Loss: 0.11789563091316564
Epoch 1500/5000 - Loss: 0.11564036401805286
Epoch 1600/5000 - Loss: 0.11380379468286629
Epoch 1700/5000 - Loss: 0.11229707209742289
Epoch 1800/5000 - Loss: 0.11104921673788709
Epoch 1900/5000 - Loss: 0.1100045854151254
Epoch 2000/5000 - Loss: 0.10911998516424394
Epoch 2100/5000 - Loss: 0.10836202676745654
Epoch 2200/5000 - Loss: 0.1077049150054404
Epoch 2300/5000 - Loss: 0.10712868956444142
Epoch 2400/5000 - Loss: 0.10661785971013507
Epoch 2500/5000 - Loss: 0.1061603581782472
Epoch 2600/5000 - Loss: 0.10574674412879091
Epoch 2700/5000 - Loss: 0.10536959663758715
Epoch 2800/5000 - Loss: 0.10502305263838252
Epoch 2900/5000 - Loss: 0.10470245409102495
Epoch 3000/5000 - Loss: 0.10440407784026177
Epoch 3100/5000 - Loss: 0.10412492827430239
Epoch 3200/5000 - Loss: 0.10386257785615473
Epoch 3300/5000 - Loss: 0.10361504427325761
Epoch 3400/5000 - Loss: 0.10338069566770512
Epoch 3500/5000 - Loss: 0.10315817743192295
Epoch 3600/5000 - Loss: 0.10294635557517037
Epoch 3700/5000 - Loss: 0.10274427282124327
Epoch 3800/5000 - Loss: 0.10255111448277149
Epoch 3900/5000 - Loss: 0.1023661818396568
Epoch 4000/5000 - Loss: 0.10218887127643907
Epoch 4100/5000 - Loss: 0.10201865784097025
Epoch 4200/5000 - Loss: 0.10185508220129753
Epoch 4300/5000 - Loss: 0.1016977402196847
Epoch 4400/5000 - Loss: 0.10154627454826105
Epoch 4500/5000 - Loss: 0.101400367792615
Epoch 4600/5000 - Loss: 0.10125973689762416
Epoch 4700/5000 - Loss: 0.10112412849187162
Epoch 4800/5000 - Loss: 0.1009933149892021
Epoch 4900/5000 - Loss: 0.10086709129307067
Final Test Error: 0.04886576393303674
Final Test Variance: 0.0029858758962448303
Hidden Layer Size: 4
In [78]:
mlp_model_results_2
Out[78]:
{'Test MSE': 0.04886576393303674,
 'Test Variance': 0.0029858758962448303,
 'Training SSE': 3.7902930656361473,
 'Weights': array([ 0.27515433,  0.77416172,  0.47139188,  0.57313076,  0.123971  ,
         0.6792633 , -0.22815325, -0.21574784, -0.19100724,  0.54263679,
         0.44236537,  0.29514763, -0.44235161]),
 'Test Predictions': [array([[0.47751004]]),
  array([[0.63574465]]),
  array([[0.51320778]]),
  array([[0.257764]]),
  array([[0.58467346]]),
  array([[0.26798474]]),
  array([[0.24827412]]),
  array([[0.14743071]]),
  array([[0.50528965]]),
  array([[0.54992253]]),
  array([[0.13862969]]),
  array([[0.1454549]]),
  array([[0.84007813]]),
  array([[0.60933179]]),
  array([[0.70124311]]),
  array([[0.5506293]]),
  array([[0.18528067]]),
  array([[0.30887274]]),
  array([[0.37792306]]),
  array([[0.47217589]])],
 'Test Y': array([[0.31594137],
        [0.20356262],
        [0.30947375],
        [0.09471191],
        [0.3589351 ],
        [0.07829474],
        [0.02364215],
        [0.01165836],
        [0.39451291],
        [0.36238072],
        [0.05635958],
        [0.05509474],
        [0.68203824],
        [0.45238378],
        [0.62015156],
        [1.        ],
        [0.0361133 ],
        [0.        ],
        [0.44676435],
        [0.78460822]]),
 'Test X': array([[6.43749455e-01, 4.57806260e-01],
        [4.58007643e-01, 2.56740090e-01],
        [5.48725725e-01, 3.47953433e-01],
        [7.55737633e-02, 1.89301186e-02],
        [2.23705529e-01, 8.29027945e-02],
        [8.07800191e-02, 2.05751958e-02],
        [7.06324169e-02, 1.74094028e-02],
        [7.93100734e-03, 1.55163272e-03],
        [5.56222754e-01, 3.56088393e-01],
        [7.05667549e-01, 5.37265965e-01],
        [1.04294184e-03, 1.98217926e-04],
        [6.41446213e-03, 1.24704661e-03],
        [8.61463088e-01, 7.64699925e-01],
        [7.35861190e-01, 5.78268528e-01],
        [3.99579231e-01, 2.05058232e-01],
        [5.18429374e-01, 3.16007488e-01],
        [3.42956682e-02, 7.44276004e-03],
        [1.00623071e-01, 2.72482272e-02],
        [1.31736868e-01, 3.89969788e-02],
        [6.29183034e-01, 4.40016426e-01]]),
 'Train X': array([[5.92229608e-01, 3.96429159e-01],
        [1.04281926e-01, 2.85483857e-02],
        [4.74748814e-02, 1.08101757e-02],
        [1.44776388e-01, 4.43875799e-02],
        [2.45638691e-02, 5.13696972e-03],
        [7.38540928e-01, 5.81978999e-01],
        [1.75810195e-02, 3.57712990e-03],
        [1.02313017e-01, 2.78460445e-02],
        [3.51974378e-01, 1.67042787e-01],
        [4.12026482e-02, 9.17243466e-03],
        [6.28780862e-02, 1.51028012e-02],
        [7.21028909e-02, 1.78578080e-02],
        [5.63340753e-02, 1.32320853e-02],
        [5.02743402e-02, 1.15617322e-02],
        [5.19186696e-01, 3.16787907e-01],
        [0.00000000e+00, 0.00000000e+00],
        [9.81189535e-03, 1.93457531e-03],
        [4.99037630e-02, 1.14615154e-02],
        [1.00000000e+00, 1.00000000e+00],
        [5.22851680e-01, 3.20577809e-01],
        [7.37533173e-02, 1.83652638e-02],
        [9.02435591e-01, 8.31049187e-01],
        [1.42312848e-01, 4.33480157e-02],
        [3.12600417e-01, 1.38376933e-01],
        [9.36312392e-03, 1.84268584e-03],
        [4.52564374e-01, 2.51691498e-01],
        [1.02404314e-01, 2.78784726e-02],
        [5.05598548e-02, 1.16390970e-02],
        [1.92567005e-02, 3.94423569e-03],
        [6.39235007e-01, 4.52256013e-01],
        [3.81356067e-01, 1.90071780e-01],
        [3.08819516e-01, 1.35756573e-01],
        [1.92556544e-01, 6.64962605e-02],
        [4.70929344e-01, 2.68917280e-01],
        [5.18867262e-02, 1.20003689e-02],
        [6.23163559e-02, 1.49394965e-02],
        [7.92076284e-01, 6.58546263e-01],
        [6.19657816e-01, 4.28569424e-01],
        [3.84466190e-02, 8.47298282e-03],
        [1.01353658e-01, 2.75061038e-02],
        [1.04854540e-01, 2.87538262e-02],
        [9.90035520e-01, 9.82036933e-01],
        [6.20307990e-01, 4.29346097e-01],
        [5.24955104e-01, 3.22762765e-01],
        [2.66796568e-02, 5.62520599e-03],
        [7.87863834e-02, 1.99400522e-02],
        [5.13841698e-03, 9.93652255e-04],
        [4.20034205e-01, 2.22521554e-01],
        [3.85285116e-02, 8.49358876e-03],
        [6.26576631e-02, 1.50386594e-02],
        [5.86199882e-02, 1.38776602e-02],
        [1.41157581e-01, 4.28639061e-02],
        [1.60617164e-01, 5.13071584e-02],
        [5.99564754e-02, 1.42590287e-02],
        [6.00059280e-02, 1.42731956e-02],
        [3.35923323e-01, 1.55053438e-01],
        [2.68348829e-01, 1.09160342e-01],
        [1.34743436e-01, 4.02154513e-02],
        [6.74373693e-01, 4.96329431e-01],
        [8.44166843e-02, 2.17503865e-02],
        [5.91741105e-02, 1.40354283e-02],
        [9.72782071e-01, 9.51314717e-01],
        [4.11691304e-01, 2.15316918e-01],
        [5.43545992e-02, 1.26798984e-02],
        [8.32709382e-01, 7.19762845e-01],
        [3.13229564e-01, 1.38815213e-01],
        [1.52506204e-02, 3.07415875e-03],
        [7.96650434e-01, 6.65303807e-01],
        [1.97664423e-02, 4.05681241e-03],
        [1.93161915e-02, 3.95735259e-03],
        [2.51215841e-02, 5.26496273e-03],
        [9.64383061e-02, 2.57878024e-02],
        [6.86106736e-02, 1.67986186e-02],
        [1.62000990e-01, 5.19309683e-02],
        [4.20633341e-01, 2.23043292e-01],
        [3.28626640e-01, 1.49741301e-01],
        [3.57799847e-02, 7.80794274e-03],
        [9.26229881e-01, 8.70830215e-01],
        [5.89760889e-02, 1.39789910e-02],
        [2.87139745e-02, 6.10148757e-03]]),
 'Train Y': array([[3.68493776e-01],
        [7.63668887e-02],
        [1.02372670e-02],
        [7.97186056e-01],
        [2.83870065e-02],
        [5.06213678e-01],
        [1.33984130e-02],
        [5.46154775e-02],
        [8.01826139e-01],
        [2.72891307e-02],
        [1.91033017e-02],
        [7.52341228e-02],
        [7.85887320e-04],
        [4.18610653e-02],
        [6.81305752e-01],
        [4.29471088e-02],
        [6.19467514e-02],
        [2.17559621e-02],
        [7.32441420e-01],
        [6.27446531e-01],
        [5.22369826e-02],
        [8.54771745e-01],
        [3.21026829e-01],
        [3.36761364e-01],
        [2.44623230e-02],
        [7.50300915e-01],
        [7.25502130e-02],
        [5.40972834e-02],
        [7.85534374e-02],
        [1.19590388e-01],
        [5.93301340e-01],
        [8.96603381e-01],
        [5.19537760e-01],
        [4.19046628e-01],
        [2.46108841e-02],
        [9.70106145e-02],
        [5.05386832e-01],
        [3.93732683e-01],
        [7.77886864e-02],
        [8.95471626e-02],
        [5.12808922e-02],
        [6.77523461e-01],
        [8.35468912e-01],
        [2.69683236e-01],
        [6.24027501e-02],
        [2.96656030e-02],
        [5.34610696e-02],
        [2.37808128e-01],
        [4.69345945e-02],
        [3.59960866e-02],
        [2.01888395e-02],
        [1.83732082e-01],
        [2.01535550e-01],
        [7.87006838e-02],
        [2.29578003e-02],
        [4.56070406e-01],
        [7.34992242e-01],
        [3.81994837e-01],
        [2.96466308e-01],
        [4.46816029e-03],
        [3.34833912e-03],
        [7.58538927e-01],
        [3.42744766e-01],
        [7.52036825e-02],
        [4.34926892e-01],
        [3.86064947e-01],
        [6.11718873e-02],
        [9.45396456e-01],
        [1.35926853e-02],
        [7.70179687e-02],
        [6.04587131e-02],
        [8.58901724e-02],
        [9.50531270e-02],
        [2.02731826e-01],
        [1.64079741e-01],
        [5.52796438e-01],
        [3.02510491e-02],
        [5.67179157e-01],
        [8.48581226e-01],
        [2.06431190e-02]]),
 'Train Predictions': [array([[0.47769319]]),
  array([[0.31671598]]),
  array([[0.20670143]]),
  array([[0.40801878]]),
  array([[0.17053326]]),
  array([[0.61505912]]),
  array([[0.16051271]]),
  array([[0.31248459]]),
  array([[0.72168157]]),
  array([[0.19629991]]),
  array([[0.2338107]]),
  array([[0.25107632]]),
  array([[0.22202524]]),
  array([[0.21146421]]),
  array([[0.54961101]]),
  array([[0.13733558]]),
  array([[0.14991128]]),
  array([[0.2108295]]),
  array([[0.89073515]]),
  array([[0.54473112]]),
  array([[0.25424358]]),
  array([[0.87295429]]),
  array([[0.40230227]]),
  array([[0.70902662]]),
  array([[0.1493164]]),
  array([[0.64307859]]),
  array([[0.31268024]]),
  array([[0.21195411]]),
  array([[0.16287472]]),
  array([[0.475377]]),
  array([[0.71333069]]),
  array([[0.70633478]]),
  array([[0.51831597]]),
  array([[0.61778122]]),
  array([[0.21424085]]),
  array([[0.23278377]]),
  array([[0.7308751]]),
  array([[0.47107041]]),
  array([[0.19184814]]),
  array([[0.31043189]]),
  array([[0.3179512]]),
  array([[0.89133013]]),
  array([[0.47108752]]),
  array([[0.54196872]]),
  array([[0.17366193]]),
  array([[0.26404446]]),
  array([[0.14380913]]),
  array([[0.68227634]]),
  array([[0.19197938]]),
  array([[0.2334074]]),
  array([[0.22609759]]),
  array([[0.39962558]]),
  array([[0.44492923]]),
  array([[0.22850074]]),
  array([[0.22858998]]),
  array([[0.71990998]]),
  array([[0.66202095]]),
  array([[0.38482205]]),
  array([[0.50353317]]),
  array([[0.27525504]]),
  array([[0.22709198]]),
  array([[0.89141096]]),
  array([[0.69063978]]),
  array([[0.21853777]]),
  array([[0.80320334]]),
  array([[0.70944961]]),
  array([[0.15727244]]),
  array([[0.74005181]]),
  array([[0.16359857]]),
  array([[0.16295907]]),
  array([[0.17135379]]),
  array([[0.30001123]]),
  array([[0.24445204]]),
  array([[0.4481553]]),
  array([[0.68164497]]),
  array([[0.71756724]]),
  array([[0.18761009]]),
  array([[0.88346634]]),
  array([[0.22673631]]),
  array([[0.17671076]])],
 'Hidden Layer Size': 5}
In [79]:
plot_results(mlp_model_results_2['Train X'][:,0],
             mlp_model_results_2['Train Y'],
             mlp_model_results_2['Train Predictions'])
In [83]:
plot_results(mlp_model_results_2['Test X'][:,0],
             mlp_model_results_2['Test Y'],
             mlp_model_results_2['Test Predictions'])
In [80]:
training_sse = [linear_reg_model_results['Training SSE'], polynomial_reg_model_results['Training SSE'],
mlp_model_results['Training SSE'],mlp_model_results_2['Training SSE']]
test_mse = [linear_reg_model_results['Test MSE'], polynomial_reg_model_results['Test MSE'],
mlp_model_results['Test MSE'],mlp_model_results_2['Test MSE']]
test_variance = [linear_reg_model_results['Test Variance'], polynomial_reg_model_results['Test Variance'],
mlp_model_results['Test Variance'],mlp_model_results_2['Test Variance']]
In [81]:
data = {'Training SSE':training_sse, 'Test MSE': test_mse, 'Test Variance': test_variance }
df = pd.DataFrame(data)
df
Out[81]:
Training SSE Test MSE Test Variance
0 6.519777 0.107354 0.004628
1 8.513093 0.110319 0.003733
2 3.200120 0.058647 0.026596
3 3.790293 0.048866 0.002986